Production and operations analysis:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Chicago [u.a.]
Irwin
1997
|
| Ausgabe: | 3. ed. |
| Schriftenreihe: | The Irwin series in production operations management
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXXVI, 858 S. Ill., graph. Darst. |
| ISBN: | 0256195080 |
Internformat
MARC
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| 245 | 1 | 0 | |a Production and operations analysis |c Steven Nahmias |
| 250 | |a 3. ed. | ||
| 264 | 1 | |a Chicago [u.a.] |b Irwin |c 1997 | |
| 300 | |a XXXVI, 858 S. |b Ill., graph. Darst. | ||
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Datensatz im Suchindex
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Contents in Brief
Chapter 1 Strategy and Competition 1
Chapter 2 Forecasting 59
Chapter 3 Aggregate Planning 121
Supplement 1 Linear Programming 171
Chapter 4 Inventory Control Subject to Known Demand 211
Chapter 5 Inventory Control Subject to Uncertain Demand 265
Chapter 6 Push and Pull Production Control Systems: MRP and JIT 333
Chapter 7 Operations Scheduling 397
Supplement 2 Queuing Theory 469
Chapter 8 Project Scheduling 501
Chapter 9 Facilities Layout and Location 561
Chapter 10 Quality and Assurance 639
Chapter 11 Reliability and Maintainability 723
Chapter 12 Recent Advances in Operations Planning and Control 787
Appendix: Tables 824
Index 844
Contents
Chapter 1 Strategy and Competition 1
1.1 Manufacturing Matters 3
1.2 Competing in the Global Marketplace 5
1.3 Narrowing the Quality Gap 8
1.4 Management of the Supply Chain 10
Snapshot Application: Wal Mart Wins with Solid Supply
Chain Management 12
1.5 Time Based Competition 13
1.6 Business Process Reengineering 15
1.7 Just in Time 18
Problems for Sections 1 7 20
1.8 The Elements of Production and Operations Strategy 21
Time Horizon 22
Focus 23
Evaluation 24
Problems for Sections 8 26
1.9 Capacity Growth Planning: A Long Term Strategic Problem 27
Economies of Scale and Economies of Scope 28
Make or Buy: A Prototype Capacity Expansion Problem 28
Dynamic Capacity Expansion Policy 30
Issues in Plant Location 34
Problems for Section 9 36
1.10 Learning and Experience Curves 37
Learning Curves 38
Experience Curves 41
Learning and Experience Curves and Manufacturing Strategy 42
Problems for Section 10 43
1.11 Matching Process and Product Life Cycles 44
The Product Life Cycle 44
The Process Life Cycle 47
The Product Process Matrix 47
Problems for Section 11 50
1.12 Summary 50
xxiv Contents
Additional Problems for Chapter 1 52
Appendix 1 A Present Worth Calculations 54
Bibliography 55
Chapter 2 Forecasting 59
2.1 The Time Horizon in Forecasting 60
2.2 Characteristics of Forecasts 60
2.3 Subjective Forecasting Methods 62
2.4 Objective Forecasting Methods 63
Causal Models 63
Time Series Methods 64
Problems for Sections 1 4 65
2.5 Notation Conventions 66
2.6 Evaluating Forecasts 67
Problems for Section 6 69
2.7 Methods for Forecasting Stationary Series 71
Moving Averages 71
Problems on Moving Averages 74
Exponential Smoothing 74
Comparison of Exponential Smoothing and Moving Averages 19
Problems for Section 7 80
Snapshot Application: Sport Obermeyer Slashes Costs with Improved Forecasting 81
2.8 Trend Based Methods 82
Regression Analysis 82
Problems for Section 8 84
Double Exponential Smoothing Using Holt s Method 85
More Problems for Section 8 86
2.9 Methods for Seasonal Series 87
Seasonal Factors for Stationary Series 88
Seasonal Decomposition Using Moving Averages 89
Problems for Section 9 93
Winters s Method for Seasonal Problems 94
More Problems for Section 9 99
2.10 Practical Considerations 99
Model Identification and Monitoring 99
Simple versus Complex Time Series Methods 100
2.11 Overview of Advanced Topics in Forecasting 101
Box Jenkins Methods 101
Simulation as a Forecasting Tool 102
Contents xxv
Forecasting Demand in the Presence of Lost Sales 103
2.12 Linking Forecasting and Inventory Management 104
2.13 Historical Notes and Additional Topics 106
2.14 Summary 107
Additional Problems on Forecasting 108
Appendix 2 A Forecast Errors for Moving Averages and Exponential Smoothing 114
Appendix 2 B Derivation of the Equations for the Slope and Intercept for
Regression Analysis 116
Appendix 2 C Glossary of Notation for Chapter 2 118
Bibliography 118
Chapter 3 Aggregate Planning 121
3.1 Aggregate Units of Production 122
3.2 Overview of the Aggregate Planning Problem 125
3.3 Costs in Aggregate Planning 126
Problems for Sections 1 3 129
3.4 A Prototype Problem 130
Evaluation of a Chase Strategy (Zero Inventory Plan) 132
Evaluation of the Constant Workforce Plan 134
Mixed Strategies and Additional Constraints 135
Problems for Section 4 136
3.5 Solution of Aggregate Planning Problems by Linear Programming 139
Cost Parameters and Given Information 139
Problem Variables 140
Problem Constraints 140
Rounding the Variables 141
Extensions 142
Other Solution Methods 144
3.6 Solving Aggregate Planning Problems by Linear Programming: An Example 145
Problems for Sections 5 and 6 149
3.7 The Linear Decision Rule 151
3.8 Modeling Management Behavior 152
Problems for Sections 7 and 8 154
3.9 Disaggregating Aggregate Plans 155
Snapshot Application: Welch s Uses Aggregate Planning for Production Scheduling 157
Problems for Section 9 157
3.10 Production Planning on a Global Scale 157
3.11 Practical Considerations 159
xxvi Contents
3.12 Historical Notes 160
3.13 Summary 161
Additional Problems on Aggregate Planning 162
Appendix 3 A Glossary of Notation for Chapter 3 167
Bibliography 168
Supplement 1 Linear Programming 171
1 Introduction 171
2 A Prototype Linear Programming Problem 172
3 Statement of the General Problem 174
Definitions of Commonly Used Terms 175
Features of Linear Programs 176
4 Solving Linear Programming Problems Graphically 177
Graphing Linear Inequalities 177
Graphing the Feasible Region 180
Finding the Optimal Solution 181
Identifying the Optimal Solution Directly by Graphical Means 183
5 The Simplex Method: An Overview 184
6 Using LINDO to Solve Linear Programming Problems 185
Standard Form 187
Values of the Slack and Surplus Variables 188
Reduced Costs and Basic Variables 188
Dual Prices 188
Objective Function Coefficients and Right Hand Sides 189
Adding a New Variable 190
Using Sensitivity Analysis 190
7 Solving Linear Programming Problems with Excel 193
Entering Large Problems Efficiently 198
8 Recognizing Special Problems 199
Unbounded Solutions 199
Empty Feasible Region 201
Degeneracy 202
Multiple Optimal Solutions 203
Redundant Constraints 205
9 The Application of Linear Programming to Production and Operations
Analysis 207
Bibliography 208
Chapter 4 Inventory Control Subject to Known Demand 211
4.1 Types of Inventories 212
4.2 Motivation for Holding Inventories 213
Contents xxvii
4.3 Characteristics of Inventory Systems 215
4.4 Relevant Costs 216
Holding Cost 216
Order Cost 218
Penalty Cost 219
Problems for Sections 1 4 220
4.5 The EOQ Model 222
The Basic Model 222
Inclusion of Order Lead Time 226
Sensitivity 227
EOQ and JIT 229
Problems for Section 5 230
4.6 Extension to a Finite Production Rate 231
Problems for Section 6 233
4.7 Quantity Discount Models 234
Optimal Policy for All Units Discount Schedule 236
Summary of the Solution Technique for All Units Discounts 238
Incremental Quantity Discounts 238
Summary of the Solution Technique for Incremental Discounts 240
Other Discount Schedules 240
Problems for Section 7 240
*4.8 Resource Constrained Multiple Product Systems 242
Problems for Section 8 246
4.9 EOQ Models for Production Planning 246
Problems for Section 9 251
4.10 Software for Inventory Control 252
4.11 Historical Notes and Additional Topics 253
Snapshot Application: Mervyn s Recognized for State of the Art Inventory Control
System 254
4.12 Summary 255
Additional Problems on Deterministic Inventory Models 256
Appendix 4 A Mathematical Derivations for Multiproduct Constrained
EOQ Systems 261
Appendix 4 B Glossary of Notation for Chapter 4 262
Bibliography 263
Chapter 5 Inventory Control Subject to Uncertain Demand 265
Overview of Models Treated in This Chapter 267
5.1 The Nature of Randomness 267
xxvm Contents
5.2 Optimization Criterion 270
Problems for Sections 1 and 2 271
5.3 The Newsboy Model 272
Notation 273
Development of the Cost Function 273
Determining the Optimal Policy 274
Optimal Policy for Discrete Demand 276
Extension to Include Starting Inventory 277
Extension to Multiple Planning Periods 278
Problems for Section 3 280
5.4 Lot Size Reorder Point Systems 282
Describing Demand 283
Decision Variables 283
Derivation of the Expected Cost Function 283
The Cost Function 286
5.5 Service Levels in (Q,R) Systems 289
Type 1 Service 289
Type 2 Service 289
Optimal (Q,R) Policies Subject to Type 2 Constraint 291
Imputed Shortage Cost 292
Scaling of Lead Time Demand 293
Estimating Sigma when Inventory Control and Forecasting Are Linked 293
*Lead Time Variability 294
Problems for Sections 4 and 5 295
5.6 Additional Discussion of Periodic Review Systems 297
(s,S) Policies 297
*Service Levels in Periodic Review Systems 298
Problems for Section 6 299
5.7 Multiproduct Systems 300
ABC Analysis 300
Exchange Curves 302
Problems for Section 7 305
*5.8 Overview of Advanced Topics 306
Multiechelon Systems 306
Perishable Inventory Problems 308
5.9 Electronic Data Interchange 309
Snapshot Application: Triad s Inventory Systems Meet Markets Needs 310
5.10 Historical Notes and Additional Readings 311
5.11 Summary 312
Additional Problems on Stochastic Inventory Models 313
Appendix 5 A Notational Conventions and Probability Review 319
Contents xxix
Appendix 5 B Additional Results and Extensions for the Newsboy Model 320
Appendix 5 C Derivation of the Optimal (Q,R) Policy 323
Appendix 5 D Probability Distributions for Inventory Management 324
Appendix 5 E Glossary of Notation for Chapter 5 328
Bibliography 328
Chapter 6 Push and Pull Production Control Systems: MRP and JIT 333
MRP Basics 335
JIT Basics 337
6.1 The Explosion Calculus 338
Problems for Section 1 343
6.2 Alternative Lot Sizing Schemes 345
EOQ Lot Sizing 346
The Silver Meal Heuristic 347
Least Unit Cost 349
Part Period Balancing 350
Problems for Section 2 351
6.3 Incorporating Lot Sizing Algorithms into the Explosion Calculus 353
Problems for Section 3 355
6.4 Lot Sizing with Capacity Constraints 355
Problems for Section 4 359
6.5 Shortcomings of MRP 360
Uncertainty 360
Capacity Planning 362
Rolling Horizons and System Nervousness 363
Additional Considerations 365
Problems for Section 5 367
Snapshot Application: Raxmond Corporation Builds World Class Manufacturing with
MRP II 368
6.6 JIT Fundamentals 369
The Mechanics of Kanban 369
Single Minute Exchange of Dies 371
Advantages and Disadvantages of the Just in Time Philosophy 372
Implementation of JIT in the United States 375
Problems for Section 6 377
6.7 A Comparison of MRP and JIT 378
6.8 MRP Software: A Big Business 379
6.9 Historical Notes 382
6.10 Summary 383
xxx Contents
Additional Problems for Chapter 6 384
Appendix 6 A Optimal Lot Sizing for Time Varying Demand 389
Appendix 6 B Glossary of Notation for Chapter 6 394
Bibliography 394
Chapter 7 Operations Scheduling 397
7.1 Production Scheduling and the Hierarchy of Production Decisions 398
7.2 Important Characteristics of Job Shop Scheduling Problems 400
Objectives of Job Shop Management 401
7.3 Job Shop Scheduling Terminology 402
7.4 A Comparison of Specific Sequencing Rules 404
First Come, First Served 405
Shortest Processing Time 405
Earliest Due Date 406
Critical Ratio Scheduling 406
7.5 Objectives in Job Shop Management: An Example 408
Problems for Sections 1 5 409
7.6 An Introduction to Sequencing Theory for a Single Machine 410
Shortest Processing Time Scheduling 411
Earliest Due Date Scheduling 412
Minimizing the Number of Tardy Jobs 412
Precedence Constraints: Lawler s Algorithm 414
Problems for Section 6 416
7.7 Sequencing Algorithms for Multiple Machines 418
Scheduling n Jobs on Two Machines 419
Extension to Three Machines 421
The Two Job Flow Shop Problem 422
Problems for Section 7 425
7.8 Stochastic Scheduling: Static Analysis 428
Single Machine 428
Multiple Machines 429
The Two Machine Flow Shop Case 431
Problems for Section 8 432
7.9 Stochastic Scheduling: Dynamic Analysis 433
Selection Disciplines Independent of Job Processing Times 435
Selection Disciplines Dependent on Job Processing Times 437
The c/j Rule 438
Problems for Section 9 439
7.10 Vehicle Scheduling 440
Practical Issues in Vehicle Scheduling 444
Contents xxxi
Problems for Section 10 446
7.11 Assembly Line Balancing 447
Problems for Section 11 452
Snapshot Application: Manufacturing Divisions Realize Savings with Scheduling
Software 454
7.12 Simulation: A Valuable Scheduling Tool 455
7.13 Post MRP Production Scheduling Software 456
7.14 Historical Notes 457
7.15 Summary 458
Additional Problems on Scheduling 459
Bibliography 466
Supplement 2 Queuing Theory 469
1 Introduction 469
2 Structural Aspects of Queuing Models 470
3 Notation 471
4 Little s Formula 472
5 The Exponential and Poisson Distributions in Queuing 473
6 Birth and Death Analysis for the M/M/l Queue 474
7 Calculation of the Expected System Measures for the M/M/l Queue 478
8 The Waiting Time Distribution 479
9 Solution of the General Case 481
10 Multiple Servers in Parallel: The M/M/c Queue 483
11 The M/M/l Queue with a Finite Capacity 487
12 Results for Nonexponential Service Distributions 490
13 The M/G/°o Queue 492
14 Optimization of Queuing Systems 494
Typical Service System Design Problems 494
Modeling Framework 495
15 Simulation of Queuing Systems 497
Bibliography 499
Chapter 8 Project Scheduling 501
8.1 Representing a Project as a Network 502
8.2 Critical Path Analysis 505
Finding the Critical Path 508
xxxn Contents
Problems for Sections 1 and 2 513
8.3 Time Costing Methods 515
Problems for Section 3 520
8.4 Solving Critical Path Problems with Linear Programming 521
Linear Programming Formulation of the Cost Time Problem 524
Problems for Section 4 527
8.5 PERT: Project Evaluation and Review Technique 527
Path Independence 533
Problems for Section 5 537
8.6 Resource Considerations 539
Resource Constraints for Single Project Scheduling 539
Resource Constraints for Multiproject Scheduling 541
Resource Loading Profiles 541
Problems for Section 6 544
8.7 Organizational Issues in Project Management 546
8.8 Historical Notes 548
8.9 Project Management Software for the PC 548
Snapshot Application: Project Management Helps United Stay on Schedule 550
Snapshot Application: Thomas Brothers Plans Staffing with Project Management
Software 550
Snapshot Application: Florida Power and Light Takes Project Management
Seriously 550
8.10 Summary 552
Additional Problems on Project Scheduling 553
Appendix 8 A Glossary of Notation for Chapter 8 557
Bibliography 558
Chapter 9 Facilities Layout and Location 561
9.1 The Facilities Layout Problem 562
9.2 Patterns of Flow 564
Activity Relationship Chart 565
From To Chart 566
9.3 Types of Layouts 569
Fixed Position Layouts 569
Product Layouts 569
Process Layouts 570
Layouts Based on Group Technology 570
Problems for Sections 1 3 573
Contents xxxiii
9.4 A Prototype Layout Problem and the Assignment Model 575
The Assignment Algorithm 576
Problems for Section 4 579
*9.5 More Advanced Mathematical Programming Formulations 580
Problem for Section 5 581
9.6 Computerized Layout Techniques 582
CRAFT 582
COFAD 587
ALDEP 588
CORELAP 589
PLANET 591
Computerized Methods versus Human Planners 591
Dynamic Plant Layouts 592
Other Computer Methods 592
Problems for Section 6 593
9.7 Technology and Flexibility 596
Snapshot Application: Kraft Foods Uses Optimization and Simulation to Determine
Best Layout 598
9.8 Locating New Facilities 598
Measures of Distance 599
Problems for Section 8 600
9.9 The Single Facility Rectilinear Distance Location Problem 601
Contour Lines 605
Mini max Problems 606
Problems for Section 9 609
9.10 Euclidean Distance Problems 610
The Gravity Problem 610
The Straight Line Distance Problem 611
Problems for Section 10 613
9.11 Other Location Models 614
Locating Multiple Facilities 615
Further Extensions 616
Problems for Section 11 619
9.12 Historical Notes 620
9.13 Summary 620
Additional Problems on Layout and Location 622
Spreadsheet Problems for Chapter 9 627
Appendix 9 A Finding Centroids 629
Appendix 9 B Computing Contour Lines 632
Bibliography 635
xxxiv Contents
Chapter 10 Quality and Assurance 639
Overview of This Chapter 642
10.1 Statistical Basis of Control Charts 642
Problems for Section 1 645
10.2 Control Charts for Variables: the X and R Charts 647
X Charts 651
Relationship to Classical Statistics 652
R Charts 653
Problems for Section 2 654
10.3 Control Charts for Attributes: the p Chart 656
p Charts for Varying Subgroup Size 660
Problems for Section 3 661
10.4 Thee Chart 663
Problems for Section 4 665
10.5 Classical Statistical Methods and Control Charts 666
Problem for Section 5 666
*10.6 Economic Design of X Charts 667
Problems for Section 6 675
10.7 Overview of Acceptance Sampling 676
10.8 Notation 678
10.9 Single Sampling for Attributes 679
Derivation of the OC Curve 680
Problems for Section 9 683
* 10.10 Double Sampling Plans for Attributes 684
Problems for Section 10 686
10.11 Sequential Sampling Plans 687
Problems for Section 11 691
10.12 Average Outgoing Quality 692
Problems for Section 12 694
Snapshot Application: Motorola Leads the Way with Six Sigma Quality Programs 695
10.13 Total Quality Management 696
Definitions 696
Listening to the Customer 697
Competition Based on Quality 699
Organizing for Quality 700
Benchmarking Quality 701
The Deming Prize and the Baldrige Award 702
ISO 9000 704
Contents xxxv
Quality: The Bottom Line 705
10.14 Designing Quality into the Product 706
10.15 Historical Notes 709
10.16 Summary 701
Additional Problems on Quality and Assurance 711
Appendix 10 A Approximating Distributions 716
Appendix 10 B Glossary of Notation for Chapter 10 on Quality and Assurance 717
Bibliography 719
Chapter 11 Reliability and Maintainability 723
Overview of This Chapter 725
11.1 Reliability of a Single Component 726
Introduction to Reliability Concepts 726
Preliminary Notation and Definitions 727
The Exponential Failure Law 730
Problems for Section 1 734
11.2 Increasing and Decreasing Failure Rates 736
Problems for Section 2 739
11.3 The Poisson Process in Reliability Modeling 739
Series Systems Subject to Purely Random Failures 744
Problems for Section 3 744
11.4 Failures of Complex Equipment 745
Components in Series 745
Components in Parallel 746
Expected Value Calculations 747
K out of TV Systems 749
Problems for Section 4 749
11.5 Introduction to Maintenance Models 751
11.6 Deterministic Age Replacement Strategies 753
The Optimal Policy in the Basic Case 753
A General Age Replacement Model 755
Problems for Section 6 760
11.7 Planned Replacement under Uncertainty 760
Planned Replacement for a Single Item 760
Block Replacement for a Group of Items 764
Problems for Section 7 767
11.8 Analysis of Warranty Policies 769
The Free Replacement Warranty 770
The Pro Rata Warranty 771
xxxvi Contents
Extensions and Criticisms 773
Problems for Section 8 774
11.9 Software Reliability 775
Snapshot Application: Reliability Centered Maintenance Improves Operations
at Three Mile Island Nuclear Plant 776
11.10 Historical Notes 777
11.11 Summary 778
Additional Problems on Reliability and Maintainability 779
Appendix 11 A Glossary of Notation on Reliability and Maintainability 782
Bibliography 784
Chapter 12 Recent Advances in Operations Planning and Control 787
Overview of This Chapter 788
12.1 New Developments in Supply Chain Management 788
Postponement in Supply Chains 789
The Bullwhip Effect 791
EDI 794
Problems for Section 1 795
12.2 Flexibility in Manufacturing Systems 795
Mass Customization 797
Flexible Manufacturing Systems 798
Problems for Section 2 808
12.3 Integrating Design and Manufacturing 809
Problems for Section 3 812
12.4 Bottleneck Scheduling 812
12.5 Artificial Intelligence and Expert Systems 815
Expert Systems 816
Applications of Expert Systems to Scheduling and Other Manufacturing
Problems 818
Problems for Sections 4 and 5 820
12.6 Summary 820
Bibliography 821
Appendix: Tables 824
Index 844
|
| any_adam_object | 1 |
| author | Nahmias, Steven |
| author_facet | Nahmias, Steven |
| author_role | aut |
| author_sort | Nahmias, Steven |
| author_variant | s n sn |
| building | Verbundindex |
| bvnumber | BV011501441 |
| callnumber-first | T - Technology |
| callnumber-label | TS155 |
| callnumber-raw | TS155.N112 1997 |
| callnumber-search | TS155.N112 1997 |
| callnumber-sort | TS 3155 N112 41997 |
| callnumber-subject | TS - Manufactures |
| classification_rvk | QP 500 |
| ctrlnum | (OCoLC)833010387 (DE-599)BVBBV011501441 |
| dewey-full | 658.5 658.520 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5 658.5 20 |
| dewey-search | 658.5 658.5 20 |
| dewey-sort | 3658.5 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 3. ed. |
| format | Book |
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| genre | (DE-588)4151278-9 Einführung gnd-content (DE-588)4123623-3 Lehrbuch gnd-content |
| genre_facet | Einführung Lehrbuch |
| id | DE-604.BV011501441 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:10:51Z |
| institution | BVB |
| isbn | 0256195080 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007740436 |
| oclc_num | 833010387 |
| open_access_boolean | |
| owner | DE-739 DE-19 DE-BY-UBM DE-29T DE-83 |
| owner_facet | DE-739 DE-19 DE-BY-UBM DE-29T DE-83 |
| physical | XXXVI, 858 S. Ill., graph. Darst. |
| publishDate | 1997 |
| publishDateSearch | 1997 |
| publishDateSort | 1997 |
| publisher | Irwin |
| record_format | marc |
| series2 | The Irwin series in production operations management |
| spelling | Nahmias, Steven Verfasser aut Production and operations analysis Steven Nahmias 3. ed. Chicago [u.a.] Irwin 1997 XXXVI, 858 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier The Irwin series in production operations management Administracao da producao larpcal Production - Gestion ram Production management Ablaufplanung (DE-588)4122751-7 gnd rswk-swf Produktionswirtschaft (DE-588)4123986-6 gnd rswk-swf Produktionstheorie (DE-588)4121520-5 gnd rswk-swf Produktmanagement (DE-588)4125960-9 gnd rswk-swf Produktion (DE-588)4047347-8 gnd rswk-swf Operations Research (DE-588)4043586-6 gnd rswk-swf Management (DE-588)4037278-9 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content (DE-588)4123623-3 Lehrbuch gnd-content Produktmanagement (DE-588)4125960-9 s DE-604 Produktion (DE-588)4047347-8 s Management (DE-588)4037278-9 s Operations Research (DE-588)4043586-6 s Produktionswirtschaft (DE-588)4123986-6 s Ablaufplanung (DE-588)4122751-7 s 1\p DE-604 Produktionstheorie (DE-588)4121520-5 s 2\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007740436&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Nahmias, Steven Production and operations analysis Administracao da producao larpcal Production - Gestion ram Production management Ablaufplanung (DE-588)4122751-7 gnd Produktionswirtschaft (DE-588)4123986-6 gnd Produktionstheorie (DE-588)4121520-5 gnd Produktmanagement (DE-588)4125960-9 gnd Produktion (DE-588)4047347-8 gnd Operations Research (DE-588)4043586-6 gnd Management (DE-588)4037278-9 gnd |
| subject_GND | (DE-588)4122751-7 (DE-588)4123986-6 (DE-588)4121520-5 (DE-588)4125960-9 (DE-588)4047347-8 (DE-588)4043586-6 (DE-588)4037278-9 (DE-588)4151278-9 (DE-588)4123623-3 |
| title | Production and operations analysis |
| title_auth | Production and operations analysis |
| title_exact_search | Production and operations analysis |
| title_full | Production and operations analysis Steven Nahmias |
| title_fullStr | Production and operations analysis Steven Nahmias |
| title_full_unstemmed | Production and operations analysis Steven Nahmias |
| title_short | Production and operations analysis |
| title_sort | production and operations analysis |
| topic | Administracao da producao larpcal Production - Gestion ram Production management Ablaufplanung (DE-588)4122751-7 gnd Produktionswirtschaft (DE-588)4123986-6 gnd Produktionstheorie (DE-588)4121520-5 gnd Produktmanagement (DE-588)4125960-9 gnd Produktion (DE-588)4047347-8 gnd Operations Research (DE-588)4043586-6 gnd Management (DE-588)4037278-9 gnd |
| topic_facet | Administracao da producao Production - Gestion Production management Ablaufplanung Produktionswirtschaft Produktionstheorie Produktmanagement Produktion Operations Research Management Einführung Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007740436&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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