Operations management: a supply chain approach
Gespeichert in:
1. Verfasser: | |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
London [u.a.]
Thomson
2003
|
Ausgabe: | 2. ed. |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
Beschreibung: | 1. ed. publ. 1999 |
Beschreibung: | XXIV, 899 S. graph. Darst. |
ISBN: | 1861528035 |
Internformat
MARC
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100 | 1 | |a Waller, Derek L. |e Verfasser |4 aut | |
245 | 1 | 0 | |a Operations management |b a supply chain approach |c Derek L. Waller |
250 | |a 2. ed. | ||
264 | 1 | |a London [u.a.] |b Thomson |c 2003 | |
300 | |a XXIV, 899 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
500 | |a 1. ed. publ. 1999 | ||
650 | 4 | |a Fertigungsplanung - Operations Management - Supply Chain Management | |
650 | 4 | |a Production management | |
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Datensatz im Suchindex
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adam_text | Preface xvii
Foreword xxi
About the author xxiii
Acknowledgements xxiv
:%yQ}|fcration strategic decisions
1. Positioning operations management
and the supply chain 3
Din i (, oi KR vi io s i w (;r. ii :vr n
Tin sri i i.v en i 3
Scope of operations management The integrated
supply chain Linkage supply chain and operations
Serving the client Importance of operations
management
;l, ANSIFIC VI lON OF OI FR VI i ; SVSI I IS 5
Manufacturing industries Service industries
Classification anomalies Not for profit organizations
Economic classification of operations
OI KRATIOVS ARF IN I I. R A l IO l. 9
Changes in the business environment
Manufacturing firms Service firms Non profit
organizations Products are international Foreign
sales and country size
KMl l.OYMKNT IN OI KR V1IONS 14
Manufacturing employment Manufacturing output
Service industries European Union and Japan
Developing regions Accounting changes
IODKI. OF OPFR VIIONS 16
Models in management An operations model is a
miniature supply chain Model economics Product
added value
I ROIM Cl l ITY 18
Resources in operations Productivity ratio
Manufacturing Service firms Productivity changes
Workweek and productivity
i w (,i: ii i ( ti n n .s i oi i:i no s 20
Interface with marketing Working with the
finance department Operations
MSTl Als I I U ) II I o oi l .U Tin . 23
Concept of a system Sub optimal performance
System performance in the business firm
System performance in the supply
chain
I IX ll i l. )(; 26
Evolution of technology Operations and the
21st century
Case study 1.1 Pangas
2. Strategy of organizations ? ?
i kki : i i)Ri i: or(, i/ i ions 33
Ignore the environment Adapt enough to survive
Grow by exploiting opportunities Profit, return
on investment, and cash flow
NOI IOR I ROHT OKCANIZATlONs 34
Consistency with financial resources Equitable
services for all generations Sources and uses of
funds should be matched Sustainability of the
organization
nil , si RAI l (,IC IM.AN 35
Timeframe Mission statement SWOT
analysis Action plans to achieve objectives
Quantitative components of the
strategic plan
sy kk(;y s i r ti:(A and opkryi ions 39
Strategic importance of operations and the supply
chain Responsibilities of the firm Challenges for
the firm
Rl. l. WORLD COKI OKATK STU. TK(,K.
OHJKCTIV I .S 42
Hewlett Packard British Airways IBM
Case study 2.1 British Petroleum
3. Site selection 47
hf.i ininc, sitf si:i.i.c i io 47
Nature of the facility Strategy and operations
Markets Strategic role of foreign factories
Corporate towns Factors in site selection
si i i i (, 50
Labour costs Availability of competent labour
Productivity Trade unions Education level Local
labour and plant technology Labour mix
i iii ki r i.ih i. .o i)i i io s 55
Climate Culture Ethics Language
l l K s 1 R[ ( | l Rl 57
Family services Communication Environmental
regulations Legal framework Transportation
Rental costs Living costs Country stability
:o l l ! (l ion 60
Land cost — Construction labour Land preparation
Expansion possibilities — Zoning regulations
Environmental regulations Material availability
I U.I OKS I II VI IMI U.T C NI1 I LOW 61
Fluctuating exchange rates Repatriation of funds —
Taxes on operations
FINANUAI. Ml) 63
USA United Kingdom Germany
I ROMNim OF RFSOI RCF.S 65
Raw materials Process and utility water Reliability of
power supplies Suppliers or subcontractors
(jr ANTI I A I l K Al I KOACIIKS TO Sll I.
SFI.FOTION 65
Weighting the selection criteria Breakeven analysis
Uncertainty and risk Centre of gravity
Case study 3.1 Holger Co.
4. Quality management 80
OIAFITY CONCERNS 80
Quality issues for specific industries Quality is
a strategic issue Quality and the supply chain
Customers drive quality Net income and quality
l)i:i IN1I ION OF Ql AUTY 81
International Organization for Standardization
Specification Grade National origin
TOTAI, OIALFFY l AN AGKMKN I 84
Top management Quality related training
Manufacturing quality supply chain Service quality
chain Communication Necessity for
total quality management
LLADIM; I KOI OM I S ()l Ol . l
i (,i. ii. I 87
Deming Juran Crosby Feigenbaum
costs ol 01 u.i n and non oi u.in 89
External faults Internal faults Preventive
measures Detection and/or evaluation Percentage
cost of quality — Costs are long term Costs and the
level of quality design
01 i.i n ( o i koi. 93
Defective product Reliability or durability
Reproducibility Quality control departments
Inspection in quality control Traceability
gi i i i i ki.i. vi ki rooi.s i) ilciinioil , 95
ABC analysis Activity based costing Benchmarking
Brainstorming Failure mode, effect, and criticality
analysis Frequency check sheets Hoshin
Improvement monitoring charts Ishikawa diagram
Just in time Kaizen, or continuous improvement
Keep designs simple Overall equipment
effectiveness Pareto analysis Phantom customer in
services Pipeline map Poka yoke Process flow
chart Quality circles Quality function deployment
Reengineering — Scatter diagram Spider web
Statistical quality control charts Taguchi
methods
INTLRNATION L ORO NTZATION I OK
S T I) KI)IZATION M) ISO 9OOO 104
International Organization for Standardization
Evolution of the ISO Quality Standard Basis of ISO
9000 standards Importance of certification
Criticism of certification
I .l ROI LXN I ()( ND ATION 1 OK JI LITY
MAN U. I.MINT 107
Background Mission of the EFQM The European
Quality Award programme and the EFQM model
Award winners
I III : IK ISLST I CTORY AWARDS 109
Background Evaluation criteria Timetable of
award process Award categories and winners
MALCOLM HAI.DRIGL NATIONAL
OLM.ITY AWARD 109
Malcolm Baldrige and the award Background of the
award Purpose of the quality award Award criteria
Award winners
KTIIICS AND QLAI.ITY 111
Correlation between quality and ethical
situations
Case study 4.1 Mitsubishi
Case study 4.2 Wento Corp.
5. An environmental balance 119
i: ik() ik r i. issi is 119
A strategic component Drivers for an environmental
balance Environment and the supply chain
Population is the environmental trigger Financial
implications Global concern Sustainable
development No coordinated strategy
SOI KCI .S )| I.W IKOWIIA I l. l) l (,l 121
Air pollution Water pollution Solid waste pollution
Noise pollution Natural pollution
I KODI (.1 I.I! I .OCI.K nsls 126
Product conception Product design Purchasing
Operations Testing Packaging Transportation
Use Disposal Advantages of a lifecycle analysis
Assumptions of a lifecycle analysis BATNEEC
principle
I Koni cr i i:k (,i ; 130
Package redesign Technology and package weight
reduction Recycling ideas for packaging
trwsi oki vno s1!si i: is 131
Road transportation Oil tankers Airplanes
cosi hi. i:i i r w nsis iok i: iro ii, i i.
covsidi.rations 133
Steel mill Toll roads Real world operating
decisions Criticisms of cost benefit, and the EPA
OR(, I/I (, 1 OR H 1RO IK I l l (,l, ll ! 135
Worker safety Organizational changes
Compensation Internal cadre of environmentalists
Research and development on environmental matters
Compensate for environmentally risky endeavours
Overseas environmental practices Gain
environmental legitimacy and credibility Collaborate
with environmentalists Prevent confrontation with
governmental agencies Financing and accounting of
resources Provide the means Human resources
Trading pollution rights Develop and expand
environmental cleanup services Procedures
Environmental audits Public affairs Certification
iso 14000 :i:ki ii h.ai ion skkiks 138
Background of the ISO 14000 series ISO 14001,
Environmental management system specifications
and guidance standard ISO 1410 12,
Environmental auditing standard ISO 1421 24
Environmental labelling standard ISO 1431,
Environmental performance evaluation standard
ISO 1441 44 Life cycle assessment standard
Relationship between ISO 14000 and ISO 9000
Case study 5.1 Imprint
Case study 5.2 The business traveller
gpJ^jDesign in operations management
6. Design of the product 147
i in i kMiii ( i 147
Products from sen ice organizations Products from
manufacturing firms Standard products
Customized products
I Ki i.l I i I Is I Ki il II i I 149
Construction project Intangible projects Study
projects
i k ii i i i i.in i i 149
Development Introduction Growth Maturity
Decline and death
I I ( I l ( ll ( )( A l l l il )({ I I )| |c, 151
Petrochemicals Plastics Composites
Computer aided design
III M I I l l I I l)l I I II I Ki 11)1(1 152
Market growth Generation of new product ideas
Research and development Product evaluation
Feasibility studies Quality function deployment
Robust design using Taguchi methods Value
analysis Financial and market analysis
Prototype Test marketing Concurrent
engineering Commercialization
Product success
i ii miui i n i i;Ki nil i i i mi , 160
Flexibility driven by the customer Flexibility
dictated by the process
Case study 6.1 Four products
7. Process design and the operations
network 166
III s|(, (II Mil. l Ki)(|sss s||M 166
Manufacturing Services Correlation product and
process design
c i (inoi iini Ktxisss isiiM 168
Defining capacity Services Manufacturing
Capacity under utilization and flexibility Capacity
planning methods
I K I l( I. l I I ,R I 11 ) 171
Definition Backward integration Forward
integration Complete integration Benefits of
integration Disadvantages of integration Japanese
firms and keiretsu Disintegration Virtual
companies
viii ^^^^^^^^^^^^^^^^^HHHh
ITO I TIO I I KOCKSS [)KSI(, 174
Mechanical aids Numerically controlled machines
Robots Computer aided manufacturing Flexible
manufacturing systems Automatic guided vehicles
Automatic storage and retrieval systems Computer
integrated manufacturing Virtual systems
i ] OIUIA I IO IT.CIINOI.OCi l I III . | RO( l.ss
¦.MEM 178
The Internet World Wide Web Web page
TCP/IP Electronic data interchange Message
standards in EDI Business use of information
technology
i :i.i .c i ko K. i o i ii .iu i. 182
Business transactions Business to business
Business to consumer Lead time reduction using
electronic commerce Business to consumer for
catalogue shopping Business to consumer for online
grocery shopping
R I II l( I l, l I KI.Uf.KM.I : 187
Expert systems Neural networks Fuzzy logic
oi i.K i io s i :t vork chart 189
Terms in the network chart Completed network
chart
m si i;ss I Roci ss Ri:i; f;i i.i;Ki (, 191
Definition Real world illustration Does BPR
always work?
Case study 7.1 Airbus Industries
8. Human resources in the system
design 198
i in ; voRKi (, k iRo H ; T 198
People The past The present Overseas
Salaried and non salaried
IA . CI 1K r TIIKOR1STS 200
Scientific management Human relations
JOB i)i;si(; 203
Job specialization Job rotation Job enlargement
Job enrichment Empowerment Special
considerations in job design
All I | | ()K TOWARDS K IIM,OYK|{S 206
Communication Working environment
Company objectives Management style and
decision making Financial and other tangible
incentives
WORK MKASI RKMKNT 208
Machine standard Labour standard Reasons for
standards Criticism of labour standards Motion
studies
l.i k i (, [) I in. i .nim kii (:i: (.1 K I . 212
New products New hires Manufacturing and
services The curve Mathematical representation
Implications of the learning curve Real world
illustrations
I M ipi.i. n ci i i,i . 216
The business environment Stress and change
Managing change Plant closure
Case study 8.1 Lamson Session s plastics
factory
9. Design of the facility layout 225
Dii i i (, i ii.i n i..u i i 225
Manufacturing Service organization Material
and information flow Facility access The
cost of facility layout Site selection and
layout
I. Woi I I i . l I u: ll Ul (; 226
Manufacturing steps Factors in the layout
Functional layout Cellular layout Assembly line
layout Flexible manufacturing system Layout and
throughput Fluid flow Fixed position layouts
Movement of materials
KKTAII. I CII.ITlkS 233
Hypermarkets Supermarkets Grocery stores
Petrol station convenience stores Specialty stores
Boutiques Warehouse discount stores Departmeni
stores Location of retail outlets Objectives of a
retail outlet
RKS I l RAN IS 235
Full service restaurant Self service restaurant
Fast food restaurant
AIRPORTS 237
Characteristics Hub and spoke type arrangement
Technology — Environment
hxc;i ki:ri (,, covsu.tinc;, or
dfsigx offick 239
Cellular offices Open plan offices Hoteling The
home office
MF.TIIODS FOR FACILITY l.AVOl T 241
Two dimensional templates Load distance
analysis Contact distance analysis Systematic
layout planning Assembly line balancing
Computer aids in facility layout
Case study 9.1 lntermark
^ll^PIanning and organizing
10. Forecasting: The trigger in the supply
chain 261
i I K 1. V II Kl. )l i OKI ( 1 l (, 261
Forecasting in operations Forecasting risks
1 I Ml. IK iKI/ONs l hilii ( ^ I I (, 262
Short range Medium range Long range
Variations of the time horizon
i ( o ( i u. i i )U i (lie i i i ii ].( s i i (, 263
Leading indicators Coincident indicators Lagging
indicators
l ( K()l ( o i IK | ( I i iKs 264
Interest rates Exchange rates Unemployment
level Demographic trends Government
regulations Political climate Labour unrest
Elasticity of demand
iu.iu)i .(.o iAii : Ki.iuus 265
Competition Reputation for quality Price
Market saturation Design Delivery times
Disasters
or i.iT n k ioki.c s i (, 267
Get to know the customer Sales bonus
Understand the market Opinions of top
management The salesforce composite Buyers
expectations Delphi method
C(I SI MIR SI RVI.Ys 270
Simple random sampling Systematic sampling
Stratified sampling Cluster sampling Accuracy of
consumer surveys Cost of surveys Survey
response
I I 11 : SKRIKS DATA l IORKCAS I l (, 271
Definition Components of a time series
Components of interest for forecasting
FORKCAS1 | C MODI.I.S 273
Time series model Patterns in time series data
Decomposing data
AYKRAGK I ()IU;.C S IIN(; MODKI.N 276
Naive averaging Straight moving averages
Weighted moving averages Considerations in the
averaging models Model accuracy
i: po t i i i. smoothing 278
Exponential model Alpha factor equal to zero
Alpha factor equal to unity Considerations in using
exponential smoothing Model accuracy
Exponential profile Trend adjustment in
exponential smoothing
MM I11 I MM K kl I .! I ¦. .! IN l I I M I
M Kll 281
Objective Least squares method Derivation of the
linear equation Using the model Standard error of
the estimate — Certainty and confidence limits —
Coefficient of determination Coefficient of correlation
Microsoft Excel and the regression functions
( l ¦ ¦ I I ll l i . s I |N , NIM.INI K
Rl i ,H I Ml IN 287
Causal relationships Scatter diagram Linear
regression equation Prediction Certainty and
confidence limits Coefficient of determination
Coefficient of correlation
s I W N I ! ! i I ( I v |i Iiikii M I N i , 289
Seasonal models Calculation procedure Empirical
approach
Ml I I I I M KM (.Kl :sM( IN I ( IU S1 I IN( , 290
Two independent variables Multiple independent
variables Microsoft Excel and multiple regression
Standard error of the estimate Confidence intervals
Coefficient of multiple determination
NllN l INI k Kl (.KI.sMON 292
Exponential change Polynomial Curvilinear with a
non integer value of the power of X Comparison of
forecast models
i i i km i hi 11ii 11iki i v i niiH i 296
Introduction Forecast error Mean error Absolute
deviation Mean squared error Comparing mean
average deviation and standard error Percentage
error Which error method?
ion i ri i oi i (iki i vi 299
Tracking signal Control charts
I ( Ns|l)l K I |( Ns IN I OKI ( s I IN(, 301
Time horizons Collected data Coefficient of
variation Market changes Models are dynamic
Model accuracy Curvilinear or exponential models
Selecting the best model Commercial forecasting tools
and the supply chain Microsoft Excel for forecasting
Case study 10.1 Wine sales
11. Inventory management Ml
IN I N I OHV NI) Till NM I n ( II !N 322
Services Manufacturing Financial impact of good
inventory management Dependency of inventory
Inventories and the economy
kl.XSON Hll i 11(11, DIM, INXINIdlO 327
Finished goods held by a distributor or retailer
Finished goods held by a producer Raw materials
Work in process inventory
os i , nm)i :i i i:d w i i ii i i : i old
i agkmia i 330
Inventory carrying costs Inventory ordering costs
Inventory stockout costs Safety stocks Value
added to inventory
OK I) l; RING l)K:hli) v I OK 1 Dl.l l l)i: I
OK i D i i i (nn 332
Inventory control Ordering in fixed order
quantities Ordering at fixed time periods Bar
codes Inventory levels and order quantities
K o o ii(. okdi .r 01 vi rn modi .i.s 335
Model I: Basic EOQ Model II: Simultaneous supply
and usage EOQ models with quantity discounts
EOQ inventory models and management
ounr.K i oin i s D m:r ici. i.i : ki.^ 343
Demand during lead time Order point Customer
service levels Stockout risk Payoff tables for order
point Distribution of demand during lead time
Arbitrary methods for order points Safety stocks,
EOQ, and electronic linkup
I IXI.I) ORD1 .R I KRIOD SYSTKMS 347
Situation Model III: Economic order period
Kl .Ql IRKMKNTS I Ok GOOD l KM ORY
MANAGI.MKNT 348
Classification of inventory Electronic commerce and
inventory The customer and the risks
Case study 11.1 Fortnex
12. Operations and capacity
planning 363
DKFINING PLANNING 363
Operations plan The supply chain and planning
AGGRF.GATF PLANNING AND CAPACITY 365
Formulating an aggregate plan Capacity utilization
and efficiency
CAPACITY ADJISTMFNT TO IKF.T DFMAND 365
Hiring and termination of the permanent workforce
Overtime Part time workers Temporary workers
An extra shift Weekend work Machines
Purchased materials Subcontractors Adjusting
inventory levels Demands on backorder or
backlog
l()l)ll YING DKMANI) TO ACCOMMODATK
CAPACITIKS 371
Reduction in product price Taxation and fees
Advertising Cash payments Creating a new demand
(, ;ki , i i : i»l. i ; cnoici .s i
i i i c i [ ring 372
Level production Synchronized capacity with
aggregate demand Hybrid of level and synchronized
production
,(,ki , I i . i i. i (, i si inici.s 374
Restaurants Consulting, accounting, and design
firms Hospitals and medical services Retail
outlets Travel industry
] s it:i I koni c i ion sciikim i.k 375
Definition Rough cut capacity plan Balancing the
master production schedules Rigidity of the MPS
Updating of the MPS MPS planning horizon and
the supply chain Demand management and
the MPS
Case study 12.1 Schultz Co.
13. Material requirements and enterprise
resource planning 394
1 TKRI I. KI.OI IRI .MKNTS PLANNING 394
Overview Role of the master production schedule
Product structure or bill of materials Inventory
records file Output of the MRP Terms in materials
requirement planning Yield rate
LOT Si/I (, IN I ROIMC Tl( PLANNING 398
Units produced to order Units produced to stock
Size of a production run Lot sizes of purchased
materials Methods for calculating an optimum lot size
l ANUAC II RING RKSOIRCK PLANNING 401
Evolution Structure Performance
F.N TKKPRISK RKSOIRCK PLANNING 402
Basic structure Commercial systems
Considerations in installing an ERP system
14. Operations scheduling 417
I 111; SCIIKIMLING ACTIVITY 417
Print shop Foundry Chocolate manufacture
Railway company Business school Medical
facility Food distribution centre
TIIK GANTT CHART 418
Activities in a printing operation Time Jobs
Planned schedule Update to operations manager
Advantages of the Gantt chart
OROKR SKQIKNCING 420
First come, first served Earliest due date Shortest
processing time Longest processing time Last
arrived, first processed Least slack time Critical
ratio Least changeover cost Non quantifiable
sequencing rules Criteria for comparing sequencing
rules Preferred sequence method
|i i|| m ) V K! I i; 423
Two work centres Three work centres
sm(, ii r ik riion or ion i i.o . vi io 424
Criteria Objective
ki i I mi: 11101 01 si 111¦ iii mm. 425
Description Products are produced in fixed
quantities Aggregate run out time
i.i i ( ii u i, i 11 ( n ioi i. 426
Delivery schedule Assembly/lead time chart
Progress at a given time
im:us(iwi.i. s( 111 hi mm, 426
Scheduling in services First come, first served
Appointment schedules Priority system Adjusting
capacity Emergency services
oMi i i r.u n si 1 n m id i i im, wo
m:i11 :iii i im; m stkmn 427
Shortcomings of ERP/MRP systems Basis of APS
systems APS systems in the business to business
supply chain
Case study 14.1 Speedy
15. Lean production and just in time 45 S
conci .i ts 458
Lean production Just in time MRP push and
just in time pull Analogy of push and pull The
supply chain and integration of MRP and JIT
WA1.YSIS ()l IR l)l IION l. IM Sll S isTI.M 461
Capacity Actual production Flow times Value
added Reasons for low productivity in traditional
production
WAi.Ysis oi jrs r i 1 imi: i i i.i. s isi i:m 467
Actual production Flow times Value added
bm.wcim; pkodi ction i ndi.k
us i i i i ii; 469
Cycle time Cycle time analogous to Takt time
kwhw 470
Definition Kanban forms Kanbans outside
the work centre Kanbans and bar codes
Determining the number of kanbans Priority work
when using kanbans Kanban zones for large
objects
l F. iOKII .S IN l.KAN I kODICTION 474
High inventories Low inventories Analogy
M i II l I si ill I | l I ¦ s. l i s| ( ,| | mi | ||
i iii i.ini mi 476
Producing in lots Implementation of SMED
Average unit production cost Economic order
quantity
I A i l l I I _ ! II MI I I I IK I l I I sv 479
Principle Improving machine effectiveness
i in i i i s ki i i s 480
Seiro (remove) Seiton (organize) — Seiso (keep
clean) Seiketsu (standardize) Shitsute (respect the
rules)
I II I I i I 1 ) M / I K ¦¦ 481
Zero breakdowns Zero defects Zero delays Zero
inventory Zero paper Zero accidents
vi i i n 482
Quality at the source Inventories Well trained
employees Purchasing Automated equipment
Preventive maintenance Statistical quality
control
I1 s i i i i ii t m i ic i s 483
Fast food restaurants Delivery services
Transportation Entertainment News emissions
Risks i i i w i i i t ii ui (, 483
Case study 15.1 Fabrix
16. Purchasing and subcontracting 489
i in, ri k ii si (, (. n i n 489
Magnitude of purchasing operations Purchasing
function Purchasing managers index
pi i ( ii si t, is i i i i vi i i. 491
Sourcing Exchange rates Hedging Completely
knocked down Barriers to international purchasing
( )! (, l/ II l (II I l l ( II s| (,
i)i:i K i mi is 495
Centralized purchasing Decentralized purchasing
Hybrid of purchasing functions Organization chart
Buying
i 11 lies i i i Kin si i, n hi i i d 497
Questionable practices Sherman Act Clayton Act
US Federal Trade Commission Act Robinson
Patman Act Foreign Corrupt Practices Act Some
European rules
si IM I II. Ks 500
Supplier selection Global cost structure Checklist
for supplier selection Number of suppliers ABC
analysis of suppliers Standardizing supplied
products
STEPS IN I IIK I l RCrilASI (, PROCESS 503
Purchase requisition Request for quotation Out
for bidding Reception of quotations Vendor
selection — Purchase order — Supplier manufactures
Shipping Inspection Payment Other types of
purchase order Purchasing and the Internet
VALl E ANALYSIS 505
Introduction Function of the product
Considerations for a value analysis Steps in carrying
out a value analysis — Technology changes
JUST IN TIME PURCHASING 507
Long term relationships Proximity Quality Risk
Responsibility Suppliers on the shop floor
SUBCONTRACTING 507
Suppliers as subcontractors — Evaluating subcontractors
Proportion of work performed by subcontractors
Subcontractor client partnerships Outsourcing
MAKE OR BUY 509
Criteria for making — Criteria for buying Breakeven
analysis — New product
Case study 16.1 Lockheed
17. Managing the integrated
supply chain 521
THE SUPPLY CHAIN 521
Activities in supply chain management An
integrated supply chain Financial flows Lead times
Supply chain in two parts Distribution network
Considerations in planning the supply chain Supply
chain management is critical Global operations
MODELLING THK SUPPLY CHAIN 526
Value added cells Supply chain costs Inventory in
the supply chain
PIPELINE MAPPING 529
Process description of a foundry Pipeline map
Complexity Usefulness of a pipeline map Variety
funnel
DISTRIBUTION REQUIREMENTS PLANNING 533
Integrated distribution requirements plan Pull
system Push system Hybrid of the pull and push
system Alternative to distribution requirements
planning
DISTRIBUTION CENTRE 534
Function of the distribution centre Costs
associated with the distribution centre Efficient
management of the warehouse Packaging and
palletization Considerations in selecting a
distribution centre
tr wsportation 538
Selection criteria — Transportation types Trucking
costs The Internet and transportation
RET ll. FOOD INDI STIO 543
Product variety Distribution Supply chain for
fresh foods Dry and canned foods Combining
warehouse
INTERNATIONAL CONSIDERATIONS 545
Trade restrictions Shipping regulations Trading
partners
or(. izi r; nil ; si itlv chain einction 548
Functional organization Specific activities of the
logistics manager Computerized network
integration Outsourcing — Challenges for the
logistics manager Definition of the logistics manager
Case study 17.1 Cisco Systems
18. Project management 562
A PROJECT AND PROJECT MANAGEMENT 562
Complex projects with unknown elements Large
projects with standard elements Intermediate
projects — Small projects — Elements of a project
Turnkey project Projects, operations, and the supply
chain
CONTRACTS IN A I ROJKCT 566
Types of contract — Fixed price or lump sum
contract Guaranteed maximum with an incentive
clause Cost plus contract Penalty clause
Holdback provision
PHASES OF A PROJECT 567
Work packages Proposal stage Design and
conception Detailed design Construction
Mechanical completion, startup, and handover
phase
PROJECT ORGANIZATION 568
Project manager Engineers Scheduler
Purchasing personnel Controller Construction
manager
SCHEDULING AND CONTROLLING 569
Gantt charts Project cost curves Percent
completion curve Dynamic monitoring tools
NETWORK DIAGRAMS 573
Description — Terms in network diagrams
Network diagram for a house construction
Critical path method Program evaluation and review
technique Advantages of network diagrams
Limitations of network diagrams Computerized
systems
ACCK1.KK VI 1 ; (CRASHING;) A PROJECT 577
Concept Network diagrams and crashing
Case study 18.1 Sana
19. Reliability and maintenance 595
RELIAHII.I I V 595
Poor product design Components and
reliability in a series system Backup or
parallel systems Failure rate Lifetime failure
rate — Responsibility and the supply chain Poka
yoke
1 AII.TRK MONK, Lll T.CT, AM) CRTTICAI.m
ANALYSIS 602
Elements in the FMECA analysis Procedural steps
in the FMECA analysis Real world pharmaceutical
application
MAINTENANCE 605
Poor maintenance Emergency maintenance
Preventive maintenance Total productive
maintenance Reliability centred maintenance
RECOVERY EROM A EAIURK 608
Product redesign Just in time Subcontractor/
supplier network Crisis management
Case study 19.1 A ski resort
20. Statistical quality control 616
ELEMENTS OE STATISTICAL Ql ALITY
CONTROL 616
Introduction Lots, series, or batches Quality
characteristics Origin of statistical quality control
Goal of statistical quality control
BASIC CONCKPTS Of STATISTICAL 1 ROCKSS
CONTROL 618
Definition of statistical process control Variations
in a process The control chart Control chart
limits
STATISTICAL PROCESS CONTROL IOK VI IRIIH IK
CHARAC I ERISTICS 621
P chart C chart
STATISTICAL PROCESS CONTROL FOR VARIABLE
CHARACTERISTICS 623
X bar chart and a range chart Sample mean control
chart — Sample range control chart
CONSIDERATIONS IN STVl ISTIC.M. PROCESS
CON I KOI. 624
No guarantees with SPC Effects of sigma limits
Possibilities in the outcome of control charts Online
statistical process control
process c i bii.i n 627
Product design specifications and the process
Process capability ratio Process capability index
si sk, i 01 iii i 628
Introduction Product performance Process shift
Philosophical extension of six sigma quality Six
sigma black belt
swiim.im; 631
Random sample Central limit theory Sampling
techniques
c( i i i nci . im.ws 633
Acceptance sampling Rejected lots Criteria for
acceptance sampling Acceptance plan Operating
characteristic curves Outcomes of an acceptance
plan Perfect discriminating operating curve
Practical operating characteristic curves Inspection
and quality Producer and consumer risk Average
outgoing quality
Case study 20.1 Candy Co.
21. Waiting lines 655
V ITI C; LINKS IN PRACTICE 655
Retail stores Airline industry Road networks
Medical centres Government owned or managed
Sports and entertainment facilities Manufacturing
Distribution Benefits of waiting lines to the operator
Customers behaviour in waiting lines
REASONS FOR WAI I 1N(, LINKS 657
Load and capacity Poor scheduling Badly
designed systems System has reached saturation
Irregular patterns Unknown service time
SERVICE SYSTEMS IN WAITING LINKS 658
Arrivals in the system Variable service systems
Fixed service systems Service rate Service time
Waiting line in the service system is unlimited
Waiting line in the service system is limited Queue
discipline Channels Service phases
SINCiLK CHANNEL, SINGLE PHASE OCEllING
MODKI.S 661
Conditions Utilization of service system Variable
service rate Constant service rate
S1MII VI ION OK A WAITING; I.INK 662
Defining simulation Parameters in the waiting line
Variables in the waiting line — Monte Carlo process
Computer packages
MANAGING TIIK WAITING I.INK 663
Need to analyze waiting line situations Good
management policy Approaches to reduce waiting
lines or to minimize their negative impact
Case study 21.1 Motorway
22. Theory of constraints 677
CONCEPTS 677
Constraint Bottleneck Drum, buffer, and rope
Focusing on constraints — Optimized production
technology
SYSTEM THROUGHPUT 679
Market demand Random occurrences
BOTTLENECKS AND NON BO I TLKNECKS 679
Use of a non bottleneck is determined by other
system constraints — Utilization and full employment
of a resource are not synonymous An hour lost on a
bottleneck is an hour lost on all the system — An hour
saved on a non bottleneck is a mirage Bottlenecks
govern both throughput and inventory
accumulation
TRANSFER BATCH, PROCESS BATCH, AND
LOT SIZE 683
Transfer batch Process batch Savings in inventory
holding cost Reduction in lead times Lot sizes
should be variable and not fixed
SCHEDULING AND CONSTRAINTS 685
Lead times should not be considered fixed
Production of two products at three work posts
Production of three products at three work posts
NON MANUFACTURING SYSTEMS 688
Project management New product development
Case study 22.1 Compressor units
23. Decision making and risk 697
THE ELEMENT OF RISK 697
Wrong decisions System Trade off Priority
recognition
MAGNITUDE OF THE DECISION MAKING
PROCESS 700
Intuition Quick and dirty Computations Model
building Task force
TMK DKCISION PROCESS 701
What is the reason for requiring a decision?
Define the current and future situation
Define objectives Develop alternatives
Analyze alternatives Select the best alternative
Firm up a plan for implementation Monitor
results
II IK KNVIROWIKNT FOR DKCISION1
MAKING 703
Decision making under certainty Decision
making under risk Decision making under
uncertainty
DKCISION THEORY 703
Characteristics Stages Decision making under
certainty Decision making under uncertainty
Decision making under risk Decision trees
Expected value of perfect information — What if
and sensitivity analysis
PAYOFF TABLES 707
Method Analysis
MARGINAL ANALYSIS 707
Probability relationship Normal probability
distributions and marginal analysis
WHEN EXPECTED VALUES ARE NOT THE
DECISION MAKING CRITERIA 708
Utility Gambling Managers with different
personalities Insurance
COST BENEFIT ANALYSIS 711
Governments
Case study 23.1 Grivel Foundry
24. Linear programming 732
THE LINEAR PROGRAMMING TOOL 732
Background Applications Methods for linear
programming
RESTRICTIONS ON LINEAR PROGRAMMING 734
Resource availability Design specifications
Legal requirements Quantitative with
limitations
FORMULATING A LINEAR PROGRAMME 735
Objective Constraints Mathematical function
Microsoft Solver
LINEAR PROGRAMMING WITH ONLY TWO
VARIABLES 736
Feasible area and boundary limits Iso profit line
Surplus resources Sensitivity Limits of two
variable linear programmes
l.INHAR PROGRAMMING WITH MORK THAN TWO
VARIABLES 737
Transportation networks Blending or
mixing Assignment method Personnel
scheduling
Case study 24.1 Easthope
25. Financial analysis 753
I RODICT PRICING 753
Profit motive Product price and the operations
manager Market price Catalogue price Price
equal to cost plus margin Price based on target
cost Exchange rates
VARIABI.K COSTS 756
Definition Raw material cost Direct labour cost
Factory overhead Value of inventory
F1XF.D COSTS 758
Definition Depreciation Calculation of
depreciation
FINANCIAL TRKATMKNT ()1 FIXKI) ASSKTS 759
Payback method Net present value Internal rate
of return
TRADITIONAL COST ACCOUNTING 760
Assigning costs Production overhead Under or
over absorption of overhead
ACTIVITY BASKD COSTING 761
Operating changes Principle of activity based
costing Non value added Depreciation
charges Customer focus Service
industries
BRKAKEVKN ANALYSIS 763
Contribution margin Terms and definitions
Graphical analysis Assumptions in breakeven
analysis
SHORT RUN PRODUCTION COSTS 764
Increasing labour Total production output Average
production Marginal production Total costs
Average and marginal costs Diminishing marginal
returns
LONG Rl N PRODUCTION COSTS 768
Long run cost curves Flexibility Economies of
scale and its benefits Economies of scale and its
disadvantages Diseconomies of scale Constant
economy of scale
Case study 25.1 Manning
26. Auditing the operations and
supply chain 791
!VI KllDI C I l() 791
The operations audit Auditor Starting point
Analytical tools Audit checklists
Cl sTOMK.R S I ISTACTION 793
Customer analysis Customer satisfaction index
ci si ( ikk si .in ici: [. l i:i. 796
Qualitative measurement of service level
Quantitative measurement of service level
i k.vioky i (iiAii: i 798
Quantitative measurements of inventory
Qualitative evaluation of why inventory is
being held Company performance and inventory
1:11 icii.nc i M 01 Mill ii . si m .MKvrs 802
Manufacturing Services
WOUKIN i K. YIKO ME T 805
Management Personnel involvement
Documentation Physical environment
I in. si iM i.v c:i¦ i 807
Financial measurements
benchmarking 809
Operating level European firms Petroleum
industry Guidelines to benchmarking
Case study 26.1 Berger Co.
Case study 26.2 Cardoso
27. Statistical concepts 827
THE ROI.K OK STATISTICS 827
Areas of use No guarantee Black belt in statistics
Microsoft Excel
COMMON TERMS 828
Data characteristics Raw data Data array Class
Discrete data Continuous data A statistic
Descriptive statistics Inferential statistics
Population Parameter Sample Random sample
Sampling with replacement Sampling from an
infinite population Distribution Frequency
distribution Pie chart Histogram Bar chart
Polygon
SIMMATION Rll.KS 830
Mean value Addition of two variables
Difference of two variables Constant multiplied by
a variable Constant summed n times Summation
of a random variable around the mean
PROBABli.ll V 831
Subjective probabilities — Relative frequency
probability Classical probability rules —
Application of probability rules to relative
frequency occurrences
ckn 1 rai. tk i)I : c:v 832
Mean — Median — Mode — Midrange Geometric
mean
IMSI KKSION 834
Range Variance Standard deviation Deviations
about the mean — Bienayme Chebyshev rule —
Fractiles
K TO K TI. I. DIS i RIHI TION 837
Growth Decline Increase to a maximum Natural
logarithm
NORMAL DISTRIBITION 839
Definition — Area under the normal distribution
Mathematical expression Transformation
formula — Normal distribution and risk
Real world
BINOMIAL DISTRIBl i ION 840
Characteristics Validity Deviations Mathematical
expression Dissecting the binomial equation
Mean value of the binomial distribution Standard
deviation of the binomial distribution Binomial
distribution situations Approximating to the normal
distribution
I ()IW) |)|s I KMM i l() 842
Characteristics Requirements Mathematical
expression Poisson distribution as an approximation
of the binomial distribution
NT! l)i: I t IMMklBI I KIN 842
Characteristics Degrees of freedom Using a
t distribution
BKTA IMSTRIIH TIO 843
Definition Network diagrams
Appendix 852
TKCIIXOI.OCilC.AI. niNCOVHRIKS, l KNTIONS, AND
i)i: i.i.oi ii; i s
Glossary 858
Index 884
|
adam_txt |
Preface xvii
Foreword xxi
About the author xxiii
Acknowledgements xxiv
:%yQ}|fcration\ strategic decisions
1. Positioning operations management
and the supply chain 3
Din\i\(, oi'KR vi'io\s \i w\(;r.\ii :vr \\n
Tin sri'i'i.v en \i\ 3
Scope of operations management The integrated
supply chain Linkage supply chain and operations
Serving the client Importance of operations
management
;l, ANSIFIC VI'lON OF OI'FR VI i\ ; SVSI I \IS 5
Manufacturing industries Service industries
Classification anomalies Not for profit organizations
Economic classification of operations
OI'KRATIOVS ARF IN I I. R\ A l'IO\ \l. 9
Changes in the business environment
Manufacturing firms Service firms Non profit
organizations Products are international Foreign
sales and country size
KMl'l.OYMKNT IN OI'KR V1IONS 14
Manufacturing employment Manufacturing output
Service industries European Union and Japan
Developing regions Accounting changes
\IODKI. OF OPFR VIIONS 16
Models in management An operations model is a
miniature supply chain Model economics Product
added value
I'ROIM Cl l\ ITY 18
Resources in operations Productivity ratio
Manufacturing Service firms Productivity changes
Workweek and productivity
\i w \(,i:\ii \ i' \( ti\ n n .s i\ oi'i:i \no\s 20
Interface with marketing Working with the
finance department Operations
MSTl Als \I'I'U )\ II I o oi'l '.U \Tin\ . 23
Concept of a system Sub optimal performance
System performance in the business firm
System performance in the supply
chain
I IX ll\i l. )(;\ 26
Evolution of technology Operations and the
21st century
Case study 1.1 Pangas
2. Strategy of organizations ? ?
\i \kki : i i)Ri\ i:\ or(, \\i/ \i ions 33
Ignore the environment Adapt enough to survive
Grow by exploiting opportunities Profit, return
on investment, and cash flow
NOI IOR I'ROHT OKCANIZATlONs 34
Consistency with financial resources Equitable
services for all generations Sources and uses of
funds should be matched Sustainability of the
organization
nil , si RAI l (,IC IM.AN 35
Timeframe Mission statement SWOT
analysis Action plans to achieve objectives
Quantitative components of the
strategic plan
sy\kk(;y s i r\ti:(A and opkryi ions 39
Strategic importance of operations and the supply
chain Responsibilities of the firm Challenges for
the firm
Rl. \l. WORLD COKI'OKATK STU.\TK(,K.
OHJKCTIV I '.S 42
Hewlett Packard British Airways IBM
Case study 2.1 British Petroleum
3. Site selection 47
hf.i ininc, sitf si:i.i.c i io\ 47
Nature of the facility Strategy and operations
Markets Strategic role of foreign factories
Corporate towns Factors in site selection
si \i i i\(, 50
Labour costs Availability of competent labour
Productivity Trade unions Education level Local
labour and plant technology Labour mix
i\iii ki \ r i.ih \i. .o\i)i i io\s 55
Climate Culture Ethics Language
l\l K \s 1 R[ ( '|'l Rl 57
Family services Communication Environmental
regulations Legal framework Transportation
Rental costs Living costs Country stability
:o\ l l ! (l ion 60
Land cost — Construction labour Land preparation
Expansion possibilities — Zoning regulations
Environmental regulations Material availability
I U.I OKS I II VI IMI'U.T C \NI1 I LOW 61
Fluctuating exchange rates Repatriation of funds —
Taxes on operations
FINANUAI. Ml) 63
USA United Kingdom Germany
I'ROMNim OF RFSOI'RCF.S 65
Raw materials Process and utility water Reliability of
power supplies Suppliers or subcontractors
(jr ANTI I A I l\ K Al'I'KOACIIKS TO Sll I.
SFI.FOTION 65
Weighting the selection criteria Breakeven analysis
Uncertainty and risk Centre of gravity
Case study 3.1 Holger Co.
4. Quality management 80
OIAFITY CONCERNS 80
Quality issues for specific industries Quality is
a strategic issue Quality and the supply chain
Customers drive quality Net income and quality
l)i:i IN1I ION OF Ql'AUTY 81
International Organization for Standardization
Specification Grade National origin
TOTAI, OIALFFY \l AN AGKMKN I 84
Top management Quality related training
Manufacturing quality supply chain Service quality
chain Communication Necessity for
total quality management
LLADIM; I'KOI'OM \ I S ()l Ol \\.\l\
\i \\ \(,i.\ii.\ I 87
Deming Juran Crosby Feigenbaum
costs ol 01 u.i n and non oi u.in 89
External faults Internal faults Preventive
measures Detection and/or evaluation Percentage
cost of quality — Costs are long term Costs and the
level of quality design
01 \i.i n ( o\ i koi. 93
Defective product Reliability or durability
Reproducibility Quality control departments
Inspection in quality control Traceability
gi \i i i 'i ki.i. vi ki rooi.s \\i) ilciinioil , 95
ABC analysis Activity based costing Benchmarking
Brainstorming Failure mode, effect, and criticality
analysis Frequency check sheets Hoshin
Improvement monitoring charts Ishikawa diagram
Just in time Kaizen, or continuous improvement
Keep designs simple Overall equipment
effectiveness Pareto analysis Phantom customer in
services Pipeline map Poka yoke Process flow
chart Quality circles Quality function deployment
Reengineering — Scatter diagram Spider web
Statistical quality control charts Taguchi
methods
INTLRNATION \L ORO \NTZATION I OK
S T\\I)\KI)IZATION \M) ISO 9OOO 104
International Organization for Standardization
Evolution of the ISO Quality Standard Basis of ISO
9000 standards Importance of certification
Criticism of certification
I'.l ROI'LXN I ()( ND ATION 1 OK JI \LITY
MAN U. I.MINT 107
Background Mission of the EFQM The European
Quality Award programme and the EFQM model
Award winners
I III : IK ISLST I \CTORY AWARDS 109
Background Evaluation criteria Timetable of
award process Award categories and winners
MALCOLM HAI.DRIGL NATIONAL
OLM.ITY AWARD 109
Malcolm Baldrige and the award Background of the
award Purpose of the quality award Award criteria
Award winners
KTIIICS AND QLAI.ITY 111
Correlation between quality and ethical
situations
Case study 4.1 Mitsubishi
Case study 4.2 Wento Corp.
5. An environmental balance 119
i:\\ ik()\\ik\ r\i. issi is 119
A strategic component Drivers for an environmental
balance Environment and the supply chain
Population is the environmental trigger Financial
implications Global concern Sustainable
development No coordinated strategy
SOI KCI .S )| I.W IKOWIIA I \l. l)\\l \(,l 121
Air pollution Water pollution Solid waste pollution
Noise pollution Natural pollution
I'KODI (.1 I.I! I .OCI.K \\ \nsls 126
Product conception Product design Purchasing
Operations Testing Packaging Transportation
Use Disposal Advantages of a lifecycle analysis
Assumptions of a lifecycle analysis BATNEEC
principle
I'Koni cr i'\i:k\(,i\ ; 130
Package redesign Technology and package weight
reduction Recycling ideas for packaging
trwsi'oki vno\ s1!si i:\is 131
Road transportation Oil tankers Airplanes
cosi hi.\i:i i r w \nsis iok i:\\iro\\ii,\ i \i.
covsidi.rations 133
Steel mill Toll roads Real world operating
decisions Criticisms of cost benefit, and the EPA
OR(,\\I/I\(, 1 OR H\\1RO\\IK\ I \l \l \\ \(,l,\ll \ ! 135
Worker safety Organizational changes
Compensation Internal cadre of environmentalists
Research and development on environmental matters
Compensate for environmentally risky endeavours
Overseas environmental practices Gain
environmental legitimacy and credibility Collaborate
with environmentalists Prevent confrontation with
governmental agencies Financing and accounting of
resources Provide the means Human resources
Trading pollution rights Develop and expand
environmental cleanup services Procedures
Environmental audits Public affairs Certification
iso 14000 :i:ki ii h.ai ion skkiks 138
Background of the ISO 14000 series ISO 14001,
Environmental management system specifications
and guidance standard ISO 1410 12,
Environmental auditing standard ISO 1421 24
Environmental labelling standard ISO 1431,
Environmental performance evaluation standard
ISO 1441 44 Life cycle assessment standard
Relationship between ISO 14000 and ISO 9000
Case study 5.1 Imprint
Case study 5.2 The business traveller
gpJ^jDesign in operations management
6. Design of the product 147
i in i'kMiii ( i 147
Products from sen ice organizations Products from
manufacturing firms Standard products
Customized products
\ I'Ki i.l I i I Is \ I'Ki il II i I 149
Construction project Intangible projects Study
projects
i'k ii i i i i.in \ i i 149
Development Introduction Growth Maturity
Decline and death
I I ( I l\( ll ( )( A l\ l'l il )({ I I )| |c,\ 151
Petrochemicals Plastics Composites
Computer aided design
III M I I l'\l I \ I l)l I I II I'Ki 11)1(1 152
Market growth Generation of new product ideas
Research and development Product evaluation
Feasibility studies Quality function deployment
Robust design using Taguchi methods Value
analysis Financial and market analysis
Prototype Test marketing Concurrent
engineering Commercialization
Product success
i ii miui i n i\ i;Ki nil i i i mi ,\ 160
Flexibility driven by the customer Flexibility
dictated by the process
Case study 6.1 Four products
7. Process design and the operations
network 166
III s|(,\ (II Mil. l'Ki)(|sss\s||M 166
Manufacturing Services Correlation product and
process design
c\i'\(inoi iini'Ktxisss'isiiM 168
Defining capacity Services Manufacturing
Capacity under utilization and flexibility Capacity
planning methods
\ I K I l( \I. l\ I I ,R \ I 11 )\ 171
Definition Backward integration Forward
integration Complete integration Benefits of
integration Disadvantages of integration Japanese
firms and keiretsu Disintegration Virtual
companies
viii ^^^^^^^^^^^^^^^^^HHHh
\ITO\I\TIO\ I\ I'KOCKSS [)KSI(,\ 174
Mechanical aids Numerically controlled machines
Robots Computer aided manufacturing Flexible
manufacturing systems Automatic guided vehicles
Automatic storage and retrieval systems Computer
integrated manufacturing Virtual systems
i\] OIUIA I IO\ IT.CIINOI.OCi l\ I III . |'RO( l.ss
¦.MEM 178
The Internet World Wide Web Web page
TCP/IP Electronic data interchange Message
standards in EDI Business use of information
technology
i :i.i .c i ko\K. i o\i\ii .iu i. 182
Business transactions Business to business
Business to consumer Lead time reduction using
electronic commerce Business to consumer for
catalogue shopping Business to consumer for online
grocery shopping
\R I II l( I \l, l\ I KI.Uf.KM.I : 187
Expert systems Neural networks Fuzzy logic
oi'i.K\i io\s \i :t\vork chart 189
Terms in the network chart Completed network
chart
m si\i;ss I'Roci ss Ri:i;\f;i\i.i;Ki\(, 191
Definition Real world illustration Does BPR
always work?
Case study 7.1 Airbus Industries
8. Human resources in the system
design 198
i in ; \voRKi\(, k\\ iRo\\H ;\T 198
People The past The present Overseas
Salaried and non salaried
\IA\.\CI \1K\ r TIIKOR1STS 200
Scientific management Human relations
JOB i)i;si(;\ 203
Job specialization Job rotation Job enlargement
Job enrichment Empowerment Special
considerations in job design
All I | | ()K TOWARDS K\IIM,OYK|{S 206
Communication Working environment
Company objectives Management style and
decision making Financial and other tangible
incentives
WORK MKASI RKMKNT 208
Machine standard Labour standard Reasons for
standards Criticism of labour standards Motion
studies
l.i \k\i\(, \\[) I in. i .nim kii \(:i: (.1 K\ I . 212
New products New hires Manufacturing and
services The curve Mathematical representation
Implications of the learning curve Real world
illustrations
I'M ipi.i. \\n ci i \\i,i . 216
The business environment Stress and change
Managing change Plant closure
Case study 8.1 Lamson Session s plastics
factory
9. Design of the facility layout 225
Dii i\i\(, i \ ii.i n i.u i i 225
Manufacturing Service organization Material
and information flow Facility access The
cost of facility layout Site selection and
layout
I. Woi I I\ \i .\\l I u: ll Ul\(; 226
Manufacturing steps Factors in the layout
Functional layout Cellular layout Assembly line
layout Flexible manufacturing system Layout and
throughput Fluid flow Fixed position layouts
Movement of materials
KKTAII. I \CII.ITlkS 233
Hypermarkets Supermarkets Grocery stores
Petrol station convenience stores Specialty stores
Boutiques Warehouse discount stores Departmeni
stores Location of retail outlets Objectives of a
retail outlet
RKS'I \l RAN IS 235
Full service restaurant Self service restaurant
Fast food restaurant
AIRPORTS 237
Characteristics Hub and spoke type arrangement
Technology — Environment
hxc;i\ki:ri\(,, covsu.tinc;, or
dfsigx offick 239
Cellular offices Open plan offices Hoteling The
home office
MF.TIIODS FOR FACILITY l.AVOl T 241
Two dimensional templates Load distance
analysis Contact distance analysis Systematic
layout planning Assembly line balancing
Computer aids in facility layout
Case study 9.1 lntermark
^ll^PIanning and organizing
10. Forecasting: The trigger in the supply
chain 261
i \ \ I K \1. V\ II Kl. )l i OKI ( \ 1 l\(, 261
Forecasting in operations Forecasting risks
1 I Ml. IK iKI/ONs l\ hilii ( \^ I I \ (, 262
Short range Medium range Long range
Variations of the time horizon
i ( o\( \i u. i\i )U \ i (lie i\ i i ii ].( \s i i\(, 263
Leading indicators Coincident indicators Lagging
indicators
\l \( K()l ( o\i \IK | \( I i iKs 264
Interest rates Exchange rates Unemployment
level Demographic trends Government
regulations Political climate Labour unrest
Elasticity of demand
\iu.iu)i'.(.o\iAii : Ki.iuus 265
Competition Reputation for quality Price
Market saturation Design Delivery times
Disasters
or \i.iT\n\ k ioki.c\s i \\(, 267
Get to know the customer Sales bonus
Understand the market Opinions of top
management The salesforce composite Buyers'
expectations Delphi method
C(I\SI MIR SI RVI.Ys 270
Simple random sampling Systematic sampling
Stratified sampling Cluster sampling Accuracy of
consumer surveys Cost of surveys Survey
response
I" I \ 11 : SKRIKS DATA l\ IORKCAS I l\(, 271
Definition Components of a time series
Components of interest for forecasting
FORKCAS1 |\C MODI.I.S 273
Time series model Patterns in time series data
Decomposing data
AYKRAGK I ()IU;.C\S'IIN(; MODKI.N 276
Naive averaging Straight moving averages
Weighted moving averages Considerations in the
averaging models Model accuracy
i:\po\t\i i \i. smoothing 278
Exponential model Alpha factor equal to zero
Alpha factor equal to unity Considerations in using
exponential smoothing Model accuracy
Exponential profile Trend adjustment in
exponential smoothing
MM I11 I MM \K kl I .! I ¦. .! IN l\ \ I I M I
M Kll 281
Objective Least squares method Derivation of the
linear equation Using the model Standard error of
the estimate — Certainty and confidence limits —
Coefficient of determination Coefficient of correlation
Microsoft Excel and the regression functions
( \l ¦ '¦ I I ' ll l i . \s I |N , \NIM.INI \K
Rl i ,H I Ml IN 287
Causal relationships Scatter diagram Linear
regression equation Prediction Certainty and
confidence limits Coefficient of determination
Coefficient of correlation
s I W ' N \ I ! ! i I ( I v \\|i Iiikii \ M I N i , 289
Seasonal models Calculation procedure Empirical
approach
Ml I I I I'M KM (.Kl :sM( IN I ( IU S1 I IN( , 290
Two independent variables Multiple independent
variables Microsoft Excel and multiple regression
Standard error of the estimate Confidence intervals
Coefficient of multiple determination
NllN l INI \k Kl (.KI.sMON 292
Exponential change Polynomial Curvilinear with a
non integer value of the power of X Comparison of
forecast models
\i i i km i hi 11ii 11iki i \v i \niiH i 296
Introduction Forecast error Mean error Absolute
deviation Mean squared error Comparing mean
average deviation and standard error Percentage
error Which error method?
ion i ri i oi \ i (iki i \vi 299
Tracking signal Control charts
I ( Ns|l)l K \ I |( Ns IN I OKI ( \s I IN(, 301
Time horizons Collected data Coefficient of
variation Market changes Models are dynamic
Model accuracy Curvilinear or exponential models
Selecting the best model Commercial forecasting tools
and the supply chain Microsoft Excel for forecasting
Case study 10.1 Wine sales
11. Inventory management Ml
IN\ I N I OHV \NI) Till NM'I'n ( II \!N 322
Services Manufacturing Financial impact of good
inventory management Dependency of inventory
Inventories and the economy
kl.XSON Hll i 11(11, DIM, INXINIdlO 327
Finished goods held by a distributor or retailer
Finished goods held by a producer Raw materials
Work in process inventory
os i , \nm)i :i \ i i:d w i i ii i\\ i :\ i old
\i \\agkmia i 330
Inventory carrying costs Inventory ordering costs
Inventory stockout costs Safety stocks Value
added to inventory
OK I) l; RING l)K:hli)\v I OK 1\ Dl.l'l \ l)i:\ I
OK\i \\D i\\ i \ i (nn 332
Inventory control Ordering in fixed order
quantities Ordering at fixed time periods Bar
codes Inventory levels and order quantities
K o\o\ii(. okdi .r 01 \vi rn modi .i.s 335
Model I: Basic EOQ Model II: Simultaneous supply
and usage EOQ models with quantity discounts
EOQ inventory models and management
ounr.K i'oin i s \\D m:r\ ici. i.i :\ ki.^ 343
Demand during lead time Order point Customer
service levels Stockout risk Payoff tables for order
point Distribution of demand during lead time
Arbitrary methods for order points Safety stocks,
EOQ, and electronic linkup
I IXI.I) ORD1 .R I'KRIOD SYSTKMS 347
Situation Model III: Economic order period
Kl'.Ql IRKMKNTS I Ok GOOD l\\ KM ORY
MANAGI.MKNT 348
Classification of inventory Electronic commerce and
inventory The customer and the risks
Case study 11.1 Fortnex
12. Operations and capacity
planning 363
DKFINING PLANNING 363
Operations plan The supply chain and planning
AGGRF.GATF PLANNING AND CAPACITY 365
Formulating an aggregate plan Capacity utilization
and efficiency
CAPACITY ADJISTMFNT TO \IKF.T DFMAND 365
Hiring and termination of the permanent workforce
Overtime Part time workers Temporary workers
An extra shift Weekend work Machines
Purchased materials Subcontractors Adjusting
inventory levels Demands on backorder or
backlog
\l()l)ll YING DKMANI) TO ACCOMMODATK
CAPACITIKS 371
Reduction in product price Taxation and fees
Advertising Cash payments Creating a new demand
\(, ;ki , \i i : i»l. \\\i\ ; cnoici'.s i\
\i \\i i \c i'[ ring 372
Level production Synchronized capacity with
aggregate demand Hybrid of level and synchronized
production
\ ,(,ki , \ I i . i'i.\\\i\(, i\ si inici.s 374
Restaurants Consulting, accounting, and design
firms Hospitals and medical services Retail
outlets Travel industry
\] \s it:i I'koni c i ion sciikim i.k 375
Definition Rough cut capacity plan Balancing the
master production schedules Rigidity of the MPS
Updating of the MPS MPS planning horizon and
the supply chain Demand management and
the MPS
Case study 12.1 Schultz Co.
13. Material requirements and enterprise
resource planning 394
\1\TKRI\I. KI.OI IRI '.MKNTS PLANNING 394
Overview Role of the master production schedule
Product structure or bill of materials Inventory
records file Output of the MRP Terms in materials
requirement planning Yield rate
LOT Si/I\(, IN I'ROIMC Tl( \ PLANNING 398
Units produced to order Units produced to stock
Size of a production run Lot sizes of purchased
materials Methods for calculating an optimum lot size
\l ANUAC II RING RKSOIRCK PLANNING 401
Evolution Structure Performance
F.N TKKPRISK RKSOIRCK PLANNING 402
Basic structure Commercial systems
Considerations in installing an ERP system
14. Operations scheduling 417
I 111; SCIIKIMLING ACTIVITY 417
Print shop Foundry Chocolate manufacture
Railway company Business school Medical
facility Food distribution centre
TIIK GANTT CHART 418
Activities in a printing operation Time Jobs
Planned schedule Update to operations manager
Advantages of the Gantt chart
OROKR SKQIKNCING 420
First come, first served Earliest due date Shortest
processing time Longest processing time Last
arrived, first processed Least slack time Critical
ratio Least changeover cost Non quantifiable
sequencing rules Criteria for comparing sequencing
rules Preferred sequence method
|i i||\m )\V K! I i; 423
Two work centres Three work centres
\sm(,\\ii\ r \ik riion or ion \i i.o . vi io\ 424
Criteria Objective
ki \ i I mi: 11101 01 si 111¦ iii mm. 425
Description Products are produced in fixed
quantities Aggregate run out time
i.i\ i ( ii u \i, \\ i 11 ( n\ ioi i. 426
Delivery schedule Assembly/lead time chart
Progress at a given time
im:us(iwi.i. s( 111 hi mm, 426
Scheduling in services First come, first served
Appointment schedules Priority system Adjusting
capacity Emergency services
oMi'i 'i r.u n \si 1 \n\ \m id i'i \\\im, wo
m:i11 :iii i im; m stkmn 427
Shortcomings of ERP/MRP systems Basis of APS
systems APS systems in the business to business
supply chain
Case study 14.1 Speedy
15. Lean production and just in time 45 S
conci .i'ts 458
Lean production Just in time MRP 'push' and
just in time 'pull' Analogy of push and pull The
supply chain and integration of MRP and JIT
WA1.YSIS ()l \ IR \l)l IION \l. IM Sll S'isTI.M 461
Capacity Actual production Flow times Value
added Reasons for low productivity in traditional
production
WAi.Ysis oi ' \ jrs r i\ 1 imi: i'i i.i. s'isi i:m 467
Actual production Flow times Value added
bm.wcim; pkodi ction i ndi.k
us i i\ i i\ii; 469
Cycle time Cycle time analogous to 'Takt' time
kwhw 470
Definition Kanban forms Kanbans outside
the work centre Kanbans and bar codes
Determining the number of kanbans Priority work
when using kanbans Kanban zones for large
objects
l\\ F.\ iOKII .S IN l.KAN I'kODICTION 474
High inventories Low inventories Analogy
M \i II l\ I si ill' I |\l I ¦ s. \\l i s|\( ,| | mi \| ||
i\iii\\i.ini mi 476
Producing in lots Implementation of SMED
Average unit production cost Economic order
quantity
I A i l \l I I '_ ! II'MI \ I I I IK I l\ I \ I sv 479
Principle Improving machine effectiveness
i in i i\ i s ki i i s 480
Seiro (remove) Seiton (organize) — Seiso (keep
clean) Seiketsu (standardize) Shitsute (respect the
rules)
I II I I i\ I \\1 ) "M\" / I K '¦¦ 481
Zero breakdowns Zero defects Zero delays Zero
inventory Zero paper 'Zero accidents'
vi \i i n 482
Quality at the source Inventories Well trained
employees Purchasing Automated equipment
Preventive maintenance Statistical quality
control
I1 s i i\ i i\ii t\ m i \ ic i s 483
Fast food restaurants Delivery services
Transportation Entertainment News emissions
Risks i\ i i w \i\\i i \t ii ui\(, 483
Case study 15.1 Fabrix
16. Purchasing and subcontracting 489
i in, ri k ii \si\(, \(. n\ i n 489
Magnitude of purchasing operations Purchasing
function Purchasing managers' index
pi i ( ii \si\t, is i\ i i i \ vi i \ \i. 491
Sourcing Exchange rates Hedging Completely
knocked down Barriers to international purchasing
( )! (, \\l/ \ II' l\ (II I'l l ( II \s|\(,
i)i:i'\K'i mi \ is 495
Centralized purchasing Decentralized purchasing
Hybrid of purchasing functions Organization chart
Buying
i 11 lies i\ i'i Kin \si\i, \\n hi "i i\d 497
Questionable practices Sherman Act Clayton Act
US Federal Trade Commission Act Robinson
Patman Act Foreign Corrupt Practices Act Some
European rules
si IM'I II. Ks 500
Supplier selection Global cost structure Checklist
for supplier selection Number of suppliers ABC
analysis of suppliers Standardizing supplied
products
STEPS IN I IIK I'l"RCrilASI\(, PROCESS 503
Purchase requisition Request for quotation Out
for bidding Reception of quotations Vendor
selection — Purchase order — Supplier manufactures
Shipping Inspection Payment Other types of
purchase order Purchasing and the Internet
VALl E ANALYSIS 505
Introduction Function of the product
Considerations for a value analysis Steps in carrying
out a value analysis — Technology changes
JUST IN TIME PURCHASING 507
Long term relationships Proximity Quality Risk
Responsibility Suppliers on the shop floor
SUBCONTRACTING 507
Suppliers as subcontractors — Evaluating subcontractors
Proportion of work performed by subcontractors
Subcontractor client partnerships Outsourcing
MAKE OR BUY 509
Criteria for making — Criteria for buying Breakeven
analysis — New product
Case study 16.1 Lockheed
17. Managing the integrated
supply chain 521
THE SUPPLY CHAIN 521
Activities in supply chain management An
integrated supply chain Financial flows Lead times
Supply chain in two parts Distribution network
Considerations in planning the supply chain Supply
chain management is critical Global operations
MODELLING THK SUPPLY CHAIN 526
Value added cells Supply chain costs Inventory in
the supply chain
PIPELINE MAPPING 529
Process description of a foundry Pipeline map
Complexity Usefulness of a pipeline map Variety
funnel
DISTRIBUTION REQUIREMENTS PLANNING 533
Integrated distribution requirements plan Pull
system Push system Hybrid of the pull and push
system Alternative to distribution requirements
planning
DISTRIBUTION CENTRE 534
Function of the distribution centre Costs
associated with the distribution centre Efficient
management of the warehouse Packaging and
palletization Considerations in selecting a
distribution centre
tr wsportation 538
Selection criteria — Transportation types Trucking
costs The Internet and transportation
RET\ll. FOOD INDI'STIO 543
Product variety Distribution Supply chain for
fresh foods Dry and canned foods Combining
warehouse
INTERNATIONAL CONSIDERATIONS 545
Trade restrictions Shipping regulations Trading
partners
or(. \\izi\r; nil ; si itlv chain einction 548
Functional organization Specific activities of the
logistics manager Computerized network
integration Outsourcing — Challenges for the
logistics manager Definition of the logistics manager
Case study 17.1 Cisco Systems
18. Project management 562
A PROJECT AND PROJECT MANAGEMENT 562
Complex projects with unknown elements Large
projects with standard elements Intermediate
projects — Small projects — Elements of a project
Turnkey project Projects, operations, and the supply
chain
CONTRACTS IN A I'ROJKCT 566
Types of contract — Fixed price or lump sum
contract Guaranteed maximum with an incentive
clause Cost plus contract Penalty clause
Holdback provision
PHASES OF A PROJECT 567
Work packages Proposal stage Design and
conception Detailed design Construction
Mechanical completion, startup, and handover
phase
PROJECT ORGANIZATION 568
Project manager Engineers Scheduler
Purchasing personnel Controller Construction
manager
SCHEDULING AND CONTROLLING 569
Gantt charts Project cost curves Percent
completion curve Dynamic monitoring tools
NETWORK DIAGRAMS 573
Description — Terms in network diagrams
Network diagram for a house construction
Critical path method Program evaluation and review
technique Advantages of network diagrams
Limitations of network diagrams Computerized
systems
ACCK1.KK VI 1\ ; (CRASHING;) A PROJECT 577
Concept Network diagrams and crashing
Case study 18.1 Sana
19. Reliability and maintenance 595
RELIAHII.I I V 595
Poor product design Components and
reliability in a series system Backup or
parallel systems Failure rate Lifetime failure
rate — Responsibility and the supply chain Poka
yoke
1 AII.TRK MONK, Lll T.CT, AM) CRTTICAI.m
ANALYSIS 602
Elements in the FMECA analysis Procedural steps
in the FMECA analysis Real world pharmaceutical
application
MAINTENANCE 605
Poor maintenance Emergency maintenance
Preventive maintenance Total productive
maintenance Reliability centred maintenance
RECOVERY EROM A EAIURK 608
Product redesign Just in time Subcontractor/
supplier network Crisis management
Case study 19.1 A ski resort
20. Statistical quality control 616
ELEMENTS OE STATISTICAL Ql'ALITY
CONTROL 616
Introduction Lots, series, or batches Quality
characteristics Origin of statistical quality control
Goal of statistical quality control
BASIC CONCKPTS Of STATISTICAL 1'ROCKSS
CONTROL 618
Definition of statistical process control Variations
in a process The control chart Control chart
limits
STATISTICAL PROCESS CONTROL IOK VI IRIIH IK
CHARAC'I ERISTICS 621
P chart C chart
STATISTICAL PROCESS CONTROL FOR VARIABLE
CHARACTERISTICS 623
X bar chart and a range chart Sample mean control
chart — Sample range control chart
CONSIDERATIONS IN STVl'ISTIC.M. PROCESS
CON I KOI. 624
No guarantees with SPC Effects of sigma limits
Possibilities in the outcome of control charts Online
statistical process control
process c\i'\bii.i n 627
Product design specifications and the process
Process capability ratio Process capability index
si\ sk,\i \ 01 \iii 'i 628
Introduction Product performance Process shift
Philosophical extension of six sigma quality Six
sigma black belt
swiim.im; 631
Random sample Central limit theory Sampling
techniques
\c( i i' i \nci . im.ws 633
Acceptance sampling Rejected lots Criteria for
acceptance sampling Acceptance plan Operating
characteristic curves Outcomes of an acceptance
plan Perfect discriminating operating curve
Practical operating characteristic curves Inspection
and quality Producer and consumer risk Average
outgoing quality
Case study 20.1 Candy Co.
21. Waiting lines 655
\V\ITI\C; LINKS IN PRACTICE 655
Retail stores Airline industry Road networks
Medical centres Government owned or managed
Sports and entertainment facilities Manufacturing
Distribution Benefits of waiting lines to the operator
Customers' behaviour in waiting lines
REASONS FOR WAI I 1N(, LINKS 657
Load and capacity Poor scheduling Badly
designed systems System has reached saturation
Irregular patterns Unknown service time
SERVICE SYSTEMS IN WAITING LINKS 658
Arrivals in the system Variable service systems
Fixed service systems Service rate Service time
Waiting line in the service system is unlimited
Waiting line in the service system is limited Queue
discipline Channels Service phases
SINCiLK CHANNEL, SINGLE PHASE OCEllING
MODKI.S 661
Conditions Utilization of service system Variable
service rate Constant service rate
S1MII VI ION OK A WAITING; I.INK 662
Defining simulation Parameters in the waiting line
Variables in the waiting line — Monte Carlo process
Computer packages
MANAGING TIIK WAITING I.INK 663
Need to analyze waiting line situations Good
management policy Approaches to reduce waiting
lines or to minimize their negative impact
Case study 21.1 Motorway
22. Theory of constraints 677
CONCEPTS 677
Constraint Bottleneck Drum, buffer, and rope
Focusing on constraints — Optimized production
technology
SYSTEM THROUGHPUT 679
Market demand Random occurrences
BOTTLENECKS AND NON BO'I TLKNECKS 679
Use of a non bottleneck is determined by other
system constraints — Utilization and full employment
of a resource are not synonymous An hour lost on a
bottleneck is an hour lost on all the system — An hour
saved on a non bottleneck is a mirage Bottlenecks
govern both throughput and inventory
accumulation
TRANSFER BATCH, PROCESS BATCH, AND
LOT SIZE 683
Transfer batch Process batch Savings in inventory
holding cost Reduction in lead times Lot sizes
should be variable and not fixed
SCHEDULING AND CONSTRAINTS 685
Lead times should not be considered fixed
Production of two products at three work posts
Production of three products at three work posts
NON MANUFACTURING SYSTEMS 688
Project management New product development
Case study 22.1 Compressor units
23. Decision making and risk 697
THE ELEMENT OF RISK 697
Wrong decisions System Trade off Priority
recognition
MAGNITUDE OF THE DECISION MAKING
PROCESS 700
Intuition Quick and dirty Computations Model
building Task force
TMK DKCISION PROCESS 701
What is the reason for requiring a decision?
Define the current and future situation
Define objectives Develop alternatives
Analyze alternatives Select the best alternative
Firm up a plan for implementation Monitor
results
II IK KNVIROWIKNT FOR DKCISION1
MAKING 703
Decision making under certainty Decision
making under risk Decision making under
uncertainty
DKCISION THEORY 703
Characteristics Stages Decision making under
certainty Decision making under uncertainty
Decision making under risk Decision trees
Expected value of perfect information — What if
and sensitivity analysis
PAYOFF TABLES 707
Method Analysis
MARGINAL ANALYSIS 707
Probability relationship Normal probability
distributions and marginal analysis
WHEN EXPECTED VALUES ARE NOT THE
DECISION MAKING CRITERIA 708
Utility Gambling Managers with different
personalities Insurance
COST BENEFIT ANALYSIS 711
Governments
Case study 23.1 Grivel Foundry
24. Linear programming 732
THE LINEAR PROGRAMMING TOOL 732
Background Applications Methods for linear
programming
RESTRICTIONS ON LINEAR PROGRAMMING 734
Resource availability Design specifications
Legal requirements Quantitative with
limitations
FORMULATING A LINEAR PROGRAMME 735
Objective Constraints Mathematical function
Microsoft Solver
LINEAR PROGRAMMING WITH ONLY TWO
VARIABLES 736
Feasible area and boundary limits Iso profit line
Surplus resources Sensitivity Limits of two
variable linear programmes
l.INHAR PROGRAMMING WITH MORK THAN TWO
VARIABLES 737
Transportation networks Blending or
mixing Assignment method Personnel
scheduling
Case study 24.1 Easthope
25. Financial analysis 753
I'RODICT PRICING 753
Profit motive Product price and the operations
manager Market price Catalogue price Price
equal to cost plus margin Price based on target
cost Exchange rates
VARIABI.K COSTS 756
Definition Raw material cost Direct labour cost
Factory overhead Value of inventory
F1XF.D COSTS 758
Definition Depreciation Calculation of
depreciation
FINANCIAL TRKATMKNT ()1 FIXKI) ASSKTS 759
Payback method Net present value Internal rate
of return
TRADITIONAL COST ACCOUNTING 760
Assigning costs Production overhead Under or
over absorption of overhead
ACTIVITY BASKD COSTING 761
Operating changes Principle of activity based
costing Non value added Depreciation
charges Customer focus Service
industries
BRKAKEVKN ANALYSIS 763
Contribution margin Terms and definitions
Graphical analysis Assumptions in breakeven
analysis
SHORT RUN PRODUCTION COSTS 764
Increasing labour Total production output Average
production Marginal production Total costs
Average and marginal costs Diminishing marginal
returns
LONG Rl'N PRODUCTION COSTS 768
Long run cost curves Flexibility Economies of
scale and its benefits Economies of scale and its
disadvantages Diseconomies of scale Constant
economy of scale
Case study 25.1 Manning
26. Auditing the operations and
supply chain 791
!VI KllDI C I l()\ 791
The operations audit Auditor Starting point
Analytical tools Audit checklists
Cl sTOMK.R S\ I ISTACTION 793
Customer analysis Customer satisfaction index
ci si ( \ikk si .in ici: [. l \ i:i. 796
Qualitative measurement of service level
Quantitative measurement of service level
i\\ k.vioky \i \\\(iiAii:\ i 798
Quantitative measurements of inventory
Qualitative evaluation of why inventory is
being held Company performance and inventory
1:11 icii.nc'i \\M 01 Mill \ii . \si m '.MKvrs 802
Manufacturing Services
WOUKIN'i K.\YIKO\ME\T 805
Management Personnel involvement
Documentation Physical environment
I in. si iM'i.v c:i¦ \i\ 807
Financial measurements
benchmarking 809
Operating level European firms Petroleum
industry Guidelines to benchmarking
Case study 26.1 Berger Co.
Case study 26.2 Cardoso
27. Statistical concepts 827
THE ROI.K OK STATISTICS 827
Areas of use No guarantee Black belt in statistics
Microsoft Excel
COMMON TERMS 828
Data characteristics Raw data Data array Class
Discrete data Continuous data A statistic
Descriptive statistics Inferential statistics
Population Parameter Sample Random sample
Sampling with replacement Sampling from an
infinite population Distribution Frequency
distribution Pie chart Histogram Bar chart
Polygon
SIMMATION Rll.KS 830
Mean value Addition of two variables
Difference of two variables Constant multiplied by
a variable Constant summed n times Summation
of a random variable around the mean
PROBABli.ll V 831
Subjective probabilities — Relative frequency
probability Classical probability rules —
Application of probability rules to relative
frequency occurrences
ckn'1 rai. tk\i)I :\c:v 832
Mean — Median — Mode — Midrange Geometric
mean
IMSI'KKSION 834
Range Variance Standard deviation Deviations
about the mean — Bienayme Chebyshev rule —
Fractiles
K\TO\K\TI.\I. DIS i'RIHI TION 837
Growth Decline Increase to a maximum Natural
logarithm
NORMAL DISTRIBITION 839
Definition — Area under the normal distribution
Mathematical expression Transformation
formula — Normal distribution and risk
Real world
BINOMIAL DISTRIBl i ION 840
Characteristics Validity Deviations Mathematical
expression Dissecting the binomial equation
Mean value of the binomial distribution Standard
deviation of the binomial distribution Binomial
distribution situations Approximating to the normal
distribution
I'()IW)\ |)|s I KMM i l()\ 842
Characteristics Requirements Mathematical
expression Poisson distribution as an approximation
of the binomial distribution
NT! l)i:\ I t IMMklBI I KIN 842
Characteristics Degrees of freedom Using a
t distribution
BKTA IMSTRIIH TIO\ 843
Definition Network diagrams
Appendix 852
TKCIIXOI.OCilC.AI. niNCOVHRIKS, l\\ KNTIONS, AND
i)i:\ i.i.oi'\ii;\ i s
Glossary 858
Index 884 |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Waller, Derek L. |
author_facet | Waller, Derek L. |
author_role | aut |
author_sort | Waller, Derek L. |
author_variant | d l w dl dlw |
building | Verbundindex |
bvnumber | BV022416034 |
callnumber-first | T - Technology |
callnumber-label | TS155 |
callnumber-raw | TS155 |
callnumber-search | TS155 |
callnumber-sort | TS 3155 |
callnumber-subject | TS - Manufactures |
classification_rvk | QH 400 QH 411 QP 500 |
ctrlnum | (OCoLC)249063830 (DE-599)BVBBV022416034 |
dewey-full | 658.5 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.5 |
dewey-search | 658.5 |
dewey-sort | 3658.5 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
edition | 2. ed. |
format | Book |
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genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
genre_facet | Lehrbuch |
id | DE-604.BV022416034 |
illustrated | Illustrated |
index_date | 2024-07-02T17:23:59Z |
indexdate | 2024-08-01T10:52:53Z |
institution | BVB |
isbn | 1861528035 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015624424 |
oclc_num | 249063830 |
open_access_boolean | |
owner | DE-863 DE-BY-FWS DE-83 DE-188 DE-N2 DE-862 DE-BY-FWS DE-Eb1 DE-355 DE-BY-UBR |
owner_facet | DE-863 DE-BY-FWS DE-83 DE-188 DE-N2 DE-862 DE-BY-FWS DE-Eb1 DE-355 DE-BY-UBR |
physical | XXIV, 899 S. graph. Darst. |
publishDate | 2003 |
publishDateSearch | 2003 |
publishDateSort | 2003 |
publisher | Thomson |
record_format | marc |
spellingShingle | Waller, Derek L. Operations management a supply chain approach Fertigungsplanung - Operations Management - Supply Chain Management Production management Fertigungsplanung (DE-588)4113545-3 gnd Supply Chain Management (DE-588)4684051-5 gnd Operations Management (DE-588)4549167-7 gnd Operations Research (DE-588)4043586-6 gnd |
subject_GND | (DE-588)4113545-3 (DE-588)4684051-5 (DE-588)4549167-7 (DE-588)4043586-6 (DE-588)4123623-3 |
title | Operations management a supply chain approach |
title_auth | Operations management a supply chain approach |
title_exact_search | Operations management a supply chain approach |
title_exact_search_txtP | Operations management a supply chain approach |
title_full | Operations management a supply chain approach Derek L. Waller |
title_fullStr | Operations management a supply chain approach Derek L. Waller |
title_full_unstemmed | Operations management a supply chain approach Derek L. Waller |
title_short | Operations management |
title_sort | operations management a supply chain approach |
title_sub | a supply chain approach |
topic | Fertigungsplanung - Operations Management - Supply Chain Management Production management Fertigungsplanung (DE-588)4113545-3 gnd Supply Chain Management (DE-588)4684051-5 gnd Operations Management (DE-588)4549167-7 gnd Operations Research (DE-588)4043586-6 gnd |
topic_facet | Fertigungsplanung - Operations Management - Supply Chain Management Production management Fertigungsplanung Supply Chain Management Operations Management Operations Research Lehrbuch |
url | http://digitool.hbz-nrw.de:1801/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&user=GUEST&pid=1066877 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015624424&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT wallerderekl operationsmanagementasupplychainapproach |
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Inhaltsverzeichnis
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