Applied management science: modeling, spreadsheet analysis, and communication for decision making
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
New York [u.a.]
Wiley
2002
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXI, 649 S. Ill., graph. Darst. 1 CD-ROM (12 cm) |
| ISBN: | 0471391905 9780471391906 |
Internformat
MARC
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| 020 | |a 0471391905 |9 0-471-39190-5 | ||
| 020 | |a 9780471391906 |9 978-0-471-39190-6 | ||
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| 035 | |a (DE-599)BVBBV014124890 | ||
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| 100 | 1 | |a Lawrence, John A. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Applied management science |b modeling, spreadsheet analysis, and communication for decision making |c John A. Lawrence ; Barry Alan Pasternack |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a New York [u.a.] |b Wiley |c 2002 | |
| 300 | |a XXI, 649 S. |b Ill., graph. Darst. |e 1 CD-ROM (12 cm) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Administración - Modelos matemáticos | |
| 650 | 4 | |a Ciencia de la administración | |
| 650 | 4 | |a Communication en gestion | |
| 650 | 4 | |a Comunicación en la administración | |
| 650 | 4 | |a Gestion - Modèles mathématiques | |
| 650 | 4 | |a Sciences de la gestion | |
| 650 | 4 | |a Sistemas de apoyo para la toma de decisiones | |
| 650 | 4 | |a Systèmes d'aide à la décision | |
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Communication in management | |
| 650 | 4 | |a Decision support systems | |
| 650 | 4 | |a Management science | |
| 650 | 4 | |a Management |x Mathematical models | |
| 650 | 0 | 7 | |a Mathematisches Modell |0 (DE-588)4114528-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Management |0 (DE-588)4037278-9 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Entscheidungsunterstützungssystem |0 (DE-588)4191815-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Operations Research |0 (DE-588)4043586-6 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Management |0 (DE-588)4037278-9 |D s |
| 689 | 0 | 1 | |a Mathematisches Modell |0 (DE-588)4114528-8 |D s |
| 689 | 0 | 2 | |a Entscheidungsunterstützungssystem |0 (DE-588)4191815-0 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Operations Research |0 (DE-588)4043586-6 |D s |
| 689 | 1 | |5 DE-604 | |
| 700 | 1 | |a Pasternack, Barry Alan |e Verfasser |4 aut | |
| 856 | 4 | 2 | |m HBZ Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009679771&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-009679771 | ||
Datensatz im Suchindex
| _version_ | 1804128996916461568 |
|---|---|
| adam_text | Contents
Chapter 1 Introduction to Management Science Models 1
1.1 What Is Management Science? 2
1.2 A Brief History of Management Science 5
1.3 Mathematical Modeling 7
1.4 The Management Science Process 9
1.5 Writing Business Reports/Memos 27
1.6 Using Spreadsheets in Management Science Models 32
1.7 Summary 39
Problems 40
Case 45
Chapter 2 Linear and Integer Programming Models 42
2.1 Introduction to Linear Programming 48
2.2 A Linear Programming Model—A Prototype Example 50
2.3 A Graphical Analysis of Linear Programming 55
2.4 The Role of Sensitivity Analysis of the Optimal Solution 63
2.5 Using Excel Solver to Find an Optimal
Solution and Analyze Results 72
2.6 Using Computer Output to Generate
a Management Report 79
2.7 Models Without Unique Optimal Solutions—Infeasibility,
Unboundedness, and Alternate Optimal Solutions 82
2.8 A Minimization Problem 87
2.9 Integer Linear Programming (ILP) Models 92
2.10 Algebraic Solution Approaches for Linear Models 99
2.11 Summary 100
Problems 101
Cases 110
Chapter 3 Applications of Linear and
Integer Programming Models 111
3.1 The Evolution of Linear Programming Models
in Business and Government 114
3.2 Building Good Linear and Integer Programming Models 115
3.3 Building Good Spreadsheet Models 118
Contents xiii
3.4 Applications of Linear Programming Models 120
3.5 Applications of Integer Linear Programming Models 148
3.6 Summary 166
Problems 168
Cases 181
Chapter 4 Network Models 187
4.1 Introduction to Networks 188
4.2 Transportation Networks 191
4.3 Capacitated Transshipment Networks 206
4.4 Assignment Networks 209
4.5 Shortest Path Networks 213
4.6 Maximal Flow Networks 216
4.7 Traveling Salesman Network 221
4.8 Minimal Spanning Tree Networks 227
4.9 Summary 231
Appendix 4.1 Using the network.xls Template 233
Problems 239
Cases 252
Chapter 5 Project Scheduling Models 25£
5.1 Introduction to Project Scheduling 257
5.2 Identifying the Activities of a Project 258
5.3 The PERT/CPM Approach for Project Scheduling 261
5.4 A Linear Programming Approach to PERT/CPM 268
5.5 Obtaining Results Using Excel 269
5.6 Gantt Charts 271.
5.7 Resource Leveling 272
5.8 PERT—The Probabilistic Approach to Project Scheduling 278
5.9 Cost Analyses Using the Expected Value Approach 285
5.10 The Critical Path Method (CPM) 288
5.11 PERT/Cost 297
5.12 Summary 302
Appendix 5.1 Using the Project Scheduling Templates 304
Appendix 5.2 Using the PERT CPM Template
to Create Gantt Charts 309
Problems 312
Cases 322
Chapter 6 Decision Models 328
6.1 Introduction to Decision Analysis 329
6.2 Payoff Table Analysis 329
6.3 Decision Making Criteria 333
ntents
6.4 Expected Value of Perfect Information 342
6.5 Bayesian Analyses—Decision Making
with Imperfect Information 343
6.6 Decision Trees 349
6.7 Decision Making and Utility 362
6.8 Game Theory 366
6.9 Summary 370
Appendix 6.1 Using the Decision PayofFTable.xls
Template 371
Problems 375
Cases 384
Chapter 7 Forecasting 386
7.1 Introduction to Time Series Forecasting 387
7.2 Stationary Forecasting Models 390
7.3 Evaluating the Performance of Forecasting Techniques 399
7.4 Forecasting Time Series that Exhibit Linear Trend 408
7.5 Time Series with Trend, Seasonal, and Cyclical Variation 416
7.6 Other Forecasting Techniques 425
7.7 Summary 426
Appendix 7.1 Using the forecast.xls Template 429
Problems 432
Cases 439
Chapter 8 Inventory Models ; 442
8.1 Overview of Inventory Issues 443
8.2 Economic Order Quantity Model 447
8.3 Determining Safety Stock Levels 456
8.4 EOQ Models with Quantity Discounts 461
8.5 Production Lot Size Model 467
8.6 Planned Shortage Model 472
8.7 Review Systems 478
8.8 Single period Inventory Model 481
8.9 Summary 487
Appendix 8.1 Using the inventory.xls Template 489
Problems 492
Cases 498
Chapter 9 Queuing Models 501
9.1 Introduction to Queuing Models 502
9.2 Elements of the Queuing Process 502
9.3 Measures of Queuing System Performance 511
9.4 M/M/1 Queuing Systems 513
Contents XV
9.5 M/M/k Queuing Systems 519
9.6 M/G/1 Queuing Systems 522
9.7 M/M/k/F Queuing Systems (Finite Queue Length) 524
9.8 M/M/1 //m Queuing Systems (Finite
Customer Population) 527
9.9 Economic Analysis of Queuing Systems 529
9.10 Tandem Queuing Systems 534
9.11 Summary 536
Appendix 9.1 Using the Queue.xls Template 541
Problems 543
Cases 549
Chapter 10 Simulation Models 551
10.1 Overview of Simulation 552
10.2 Monte Carlo Simulation 554
10.3 Simulation of an Inventory System
Using a Fixed Time Approach 562
10.4 Simulation of a Queuing System Using
a Next Event Approach 567
10.5 Random Number Mappings for Continuous
Random Variables 572
10.6 Simulation of an M/M/1 Queue 575
10.7 Conducting Simulations Using Crystal Ball 578
10.8 Advantages and Disadvantages of Simulation 591
10.9 Summary 591
Problems 593
Cases 601
Appendices 603
Appendix A Standard Normal Distribution 604
Appendix B Partial Expectations of the
Standard Normal Distribution 605
Appendix C Pseudo Random Numbers 607
Appendix D t Distribution 608
Appendix E x* Distribution 609
Appendix F F Distribution 610
Appendix G Constants for Quality Control Charts 616
Appendix H Critical Values of Spearman s
Rank Correlation Coefficient 617
Glossary 618
Answers to Selected Problems 6_2fi
Photo Credits 612
Index 6£1
CD RON
FOLDERS ON THE CD ROM ADDITIONAL CHAPTERS FOLDER
SUPPLEMENTS FOLDER
APPENDICES FOLDER
PROBLEM MOTIVATIONS FOLDER
ADDITIONAL PROBLEMS/CASES FOLDER
THE ADDITIONAL CHAPTERS FOLDER
Chapter 11
Quality Management Models CD 1
11.1 Overview of Quality CD 2
11.2 Managerial Issues in Quality Control CD 3
11.3 Control Charts Based on Multi Item
Sampling of Quantitative Data CD 11
11.4 Control Charts Based on a Single Item
Sampling of Quantitative Data CD 33
11.5 Quality Control Based on Attributes CD 38
11.6 Economic Issues in Achieving Quality CD 47
11.7 Summary CD 54
Appendix 11.1 Using the
QCxIs Template CD 55
Appendix 11.2 Testing for Normality
of Data Using Probability Plots CD 57
Problems CD S9
Cases CD 67
Chapter 12
Markov Process Models CD 72
12.1 Basic Concepts of Markov Processes CD 73
12.2 Transition Matrices for Processes
with No Absorbing States CD 75
12.3 Transition Matrices for Processes
with Absorbing States CD 81
12.4 Determining a State Vector CD 86
12.5 Determining Limiting (Steady State)
Behavior for Markov Processes
without Absorbing States CD 92
xvi
1 Contents
EXCEL TEMPLATES FOLDER
EXCEL FILES FOLDER
EXCEL AD INS AND SOFTWARE FOLDER
POWERPOINT SLIDES FOLDER
12.6 Determining Limiting (Steady State)
Behavior for Markov Processes
with Absorbing States CD 95
12.7 Using Markov Processes in
Economic Analysis CD 99
12.8 Applying Markov Processes
to Gambling Situations CD 109
12.9 Summary CD 112
Appendix 12.1 Using the
Markov.xls Template CD 113
Appendix 12.2 Matrix Algebra CD 113
Appendix 12.3 Determining the Inverse
of a Matrix CD 114
Problems CD 116
Cases CD 125
Chapter 13
Nonlinear Models; Dynamic,. GoalT
and Nonlinear Programming CD 130
13.1 Introduction to Nonlinear Programming CD 131
13.2 Dynamic Programming CD 133
13.3 Computational Properties of
Dynamic Programming CD 141
13.4 Dynamic Programming Examples CD 142
13.5 Goal Programming CD 158
13.6 Nonlinear Programming Concepts CD 170
13.7 Unconstrained Nonlinear Programming CD 172
13.8 Constrained Nonlinear Programming
Problems CD 176
13.9 Summary CD 186
Appendix 13.1 The Golden Section Search
Technique for Finding the Optimal Solution to a
Unimodal Model with One Variable CD I 87
Appendix 13.2 Tests for Concavity and
Convexity CD 191
Appendix 13.3 The Method of Steepest Ascent
for Finding Optimal Solutions for Unconstrained
Problems with More Than One Variable CD 192
THE SUPPLEMENTS FOLDER Supplement CD1
Review of Probability and
Statistics Concepts CD 209
I Descriptive Statistics CD 209
II Probability CD 211
III Random Variables CD 215
IV The Central Limit Theorem CD 218
V Confidence Intervals and
Hypothesis Tests for p CD 219
VI Regression CD 222
Supplement CD2
Duality CD 224
I Constructing a Dual Linear Program CD 224
II Duality Theorems CD 226
III Economic Interpretation of the
Dual Problem CD 230
Supplement CD3
The Simplex Method CD 231
I Standard and Canonical Form CD 231
II Tableaus for Maximization Problems
When All Functional Constraints Are
Constraints CD 234
III The Simplex Algorithm CD 239
IV Geometric Interpretation
of the Simplex Algorithm CD 246
V The Simplex Method When Some Functional
Constraints Are Not Constraints CD 246
VI Simplex Algorithm—Special Cases CD 250
VII Sensitivity Analysis Using
the Simplex Method CD 253
VIII The Dual Simplex Method CD 258
IX Duality and Tableaus CD 262
Problems CD 263
CD ROM Contents xvii
Appendix 13.4 The Modified Simplex
Approach for Solving Quadratic Programming
Models CD 197
Problems CD 200
Cases CD 207
Supplement CD4
Branch and Bound Algorithms for
Integer Programming Models CD 268
I A Branch and Bound Approach for Solving
Mixed Integer or All Integer Linear
Programming Models CD 268
II A Branch and Bound Algorithm for Solving
Binary Integer Linear Programs CD 276
Supplement CDS
Algorithms for Network Models CD 283
I The Transportation Problem—The
Transportation Algorithm CD 283
II The Capacitated Transshipment Problem—The
Out Of Kilter Algorithm CD 291
III The Assignment Problem—The Hungarian
Algorithm CD 296
IV A Traveling Salesman Algorithm CD 299
V The Shortest Path Problem: The Dijkstra
Algorithm CD 302
VI The Minimal Spanning Tree Problem—
The Greedy Algorithm CD 307
VII The Maximal Row Problem—The Maximal
Flow Algorithm CD 308
Supplement CD6
Production Based
Inventory Models CP 314
I Material Requirements Planning CD 314
II Inventory Models with Time
Varying Demand CD 330
III Current Trends in Inventory Control CD 335
Appendix CD6.1 Calculating Costs of
Satisfying k Periods Worth or Demand
for Inventory Models with Time
Varying Demand CD 338
Problems CD 339
Case CD 345
xviii CD ROM Contents
THE APPENDICES FOLDER Appendix 3.1 Additional Real Life
Linear Models CD 346
Appendix 3.2 A Multiperiod Cash
Flow Scheduling Model CD 349
Appendix 3.3 Data Envelopment Analysis CD 354
Appendix 3.4 An Integer Programming
Advertising Model CD 359
Appendix 7.2 Daniel s Test for Trend CD 366
Appendix 7.3 Test for Autocorrelation CD 368
Appendix 7.4 Forecasting Based
on Taking First Differences CD 370
Appendix 7.5 Determining Whether
to Include Dummy Seasonal Variables
in Regression Models CD 371
Appendix 7.6 Use of the Excel
Trendline Feature CD 377
Appendix 7.7 Developing an Excel Spreadsheet for
Performing Clasical Decomposition CD 380
Appendix 8.2 Mathematical Formulas
for Inventory Models CD 38S
Appendix 8.3 Determining the Reorder Point, R,
Corresponding to a Unit Service Level CD 387
Appendix 8.4 Determining the Optimal
Order Quantity Under an Incremental
Discount Schedule CD 388
Appendix 8.5 Derivation of the
Planned Shortage Model CD 389
Appendix 8.6 Single Period Inventory Model CD 391
Appendix 9.2 Goodness of Fit Testing to Determine
the Appropriate Probability Distribution for
the Arrival and Service Processes CD 392
THE TEMPLATES FOLDER CPM Budget.xls
CPM Deadline.xls
Decision PayoffTable.xls
forecast.xls
inventory.xls
Markov.xls
THE EXCEL SOFTWARE ADD INS FOLD
Crystal Ball
Extend
Appendix 9.3 The Eriangian Distribution CD 396
Appendix 9.4 Derivation of Performance
Measures for M/M/1 Queues Using
Balance Equations CD 397
Appendix 9.5 Derivation of Performance
Measures for M/M/k Queues Using
Balance Equations CD 399
Appendix 9.6 Transition Diagram for
an M/M/k/F Queuing System CD 400
Appendix 9.7 Transition Diagram for an
M/M/1//m Queuing System CD 401
Appendix 9.8 Assembly Line Balancing—
An Application of Tandem Queues CD 402
Appendix 10.1 Conducting a Next Event
Simulation Using Extend CD 409
Appendix 10.2 Generating Pseudo Random
Numbers Using the Linear Congruential
Method CD 418
Appendix 10.3 Statistical Tests for Comparing
Simulation Results CD 419
Appendix 10.4 Simulation of a Capital Bank
Model Using Excel CD 426
Appendix 10.5 Interpolation Method for Generating
Random Variable Inputs CD 428
Appendix 10.6 Using Crystal Ball for Simulating
Queuing, Decision Analysis and Project
Management Models CD 430
Appendix 10.7 Variance Reduction
Techniques CD 440
network.xls
PERT COST.xls
PERT CPM.xls
QCxIs
queue.xls
ER Treeplan
THE EXCEL FILES FOLDER Chapter 1 Subfolder
Delta Hardware.xls
Greeting Card Sales.xls
Test Grades.xls
Chapter 2 Subfolder
Barnes.xls
Boxcar.xls
Galaxy.xls
Galaxy Alt1 .xls
Navy Sea Rations.xls
Rinaldo.xls (Case Problem)
Chapter 3 Subfolder
Calgdesk.xls (Case Problem)
Euromerica Liquors Revised.xls
Euromerica Liquors.xls
Galaxy Expansion.xls
Globe Plant Analysis.xls
Globe.xls
Jones lnvestment.xls
Powers.xls
Saint Joseph (Revised).xls
Saintjoseph.xls
Salem.xls
Sir Loin Composite.xls
Sir Loin.xls
Sunset.xls
United Oil.xls
Vertex Software.xls
Chapter 4 Subfolder
Ballston Electronics.xls
Ballston net.xls
Carlton.xls
Carlton net.xls
Depot Max net.xls
Fairway net.xls
FEMA.xls
Fema assignment net.xls
Metropolitan.xls
Montpelier net.xls
United net.xls
CD ROM Contents xix
Chapter 5 Subfolder
Baja Budget.xls
Baja Deadline.xls
Klonepalm(Revised) 180.xls
Klonepalm(Revised) 200.xls
Klonepalm 180.xls
Klonepalm 200.xls
Klonepalm EXCEL.xls
Klonepalm Gantt.xls
Klonepalm Probabilties.xls
Klonepalm.xls
Larkin PERT COST.xls
Chapter 6 Subfolder
BGD.xls
IGA.xls
Tom Brown Expected Value.xls
Tom Brown Insufficient Reason.xls
Tom Brown Maximax.xls
Tom Brown Maximin.xls
Tom Brown Minimax Regret Revised.xls
Tom Brown Minimax Regret.xls
Tom Brown.xls
Chapter 7 Subfolder
American Family Forecast (revised).xls
American Family Forecast.xls
American Family Holt s.xls
American Family Regression.xls
CFA Decomposition.xls
Cfa forecast.xls
Four period weighted moving average.xls
Solver exponential smoothing.xls
Troy s Forecastxls
YoHo exponential smoothing.xls
YoHo Forecast.xls
YoHo four period moving average technique.xls
YoHo four period weighted moving average
technique.xls
YoHo last period technique.xls
YoHo Yo Yo.xls
FOLDER: Chapter 7 Problem Data Files
Amazing.com.xls
Armco.xls
Bee s Candy company.xls
XX CD ROM Contents
Bottle Up Bottling.xls
Burger Barn.xls
Burger Boy Restaurant.xls
Calvert College.xls
Carol Wright.xls
Coast High School.xls
Curaid Company.xls
Dilly s Bakery.xls
Dixon Glass.xls
Dreyfus Department Store.xls
Getaway Computer.xls
Gray Rabbit Hotel.xls
HanaBanana Dress shop.xls
Hillel Sandwich Shop
Home Fed Bank.xls
KerfGroup.xls
Lincoln and Lundberg.xls
Lindal Cedar Homes.xls
management science.xls
McCoy Motors.xls
Nature s Health.xls
Oregon Chain Saw.xls
Sam s Seafood.xls
Savemor Drug.xls
Saveway Supermarket.xls
Smith Insurance Agency.xls
StayCalm.com.xls
stock.xls
Susan Wilson.xls
Watson s Donuts.xls
Chapter 8 Subfolder
Allen Appliance Cycle Service Level.xls
Allen Appliance.xls
Allen inventory.xls
Farah inventory.xls
Scanlon inventory.xls
Sentinel Newspaper.xls
Wendell s Bakery.xls
Chapter 9 Subfolder
Big Boysi queue.xls
Big Boys2 queue.xls
Big Boys3 queue.xls
exponential distribution.xls
Hargrove Hospital queue.xls
Littletown Post Office queue.xls
Mary s Shoes.xls
Pacesetter Homes new car queue.xls
Pacesetter Homes queue.xls
Poisson distribution.xls
Ryan Roofing queue.xls
Ted s TV Repair Shop New queue.xls
Ted s TV Repair Shop queue.xls
Wilson Foods queue.xls
Chapter 10 Subfolder
AAC inventory.xls
Allen(r,m).xls
Allen(r,q).xls
Capital Bank.xls
Capita.lbank.mox.xls
Don Clark.xls
explciti inverse.xls
Gordon.xls
Jewel Vending.xls
JVCxIs
JVCb.xls
Lanford Sub Shop.xls
Traffic.xls
Chapter 11 Subfolder
Bartucci QC.xls
Bartucci.xls
Duralife.xls
Little Trykes QC.xls
Little Trykes.xls
McMurray QC.xls
McMurray(revised) QC.xls
FOLDER: Chapter 11 Problem Data Files
Problem 11.15.xls
Problem 11.16.xls
Problem 11.17.xls
Problem 11.19.xls
Problem 1 L22.xls
Problem 11.23.xls
Problem 11.24.xls
Problem 11.25.xls
Problem 11.26.xls
Problem 11.27.xls
Problem 11.30.xls
Problem 1 L31.xls
Problem 11.32.xls
Problem 11.35.xls
Sidney Works.xls
Steven s Ice Cream.xls
Chapter 12 Subfolder
Dr Bandon Stovall.xls
Dr Bandon—Tovar.xls
Dr. Bandon—S to vail markov.xls
Dr. Dale Bandon.xls
Fast Food Revised.xls
Fast Food steady state probabilities.xls
Fast Food.xls
Rolley s Rentals.xls
THE POWERPOINT SLIDES FOLDER
Ch 1 Introduction
Ch 2 LP and ILP models
Ch 3 1 LP applications
Ch 3 2 ILP applications
Ch 4 Networks
Ch 5 Project Scheduling
Ch 6 Decision.ppt
Ch 7 Forecasting.ppt
PROBLEM MOTIVATIONS FOLDER
CHAPTERS 2 10
ADDITIONAL PROBLEM/CASES FOLD
CHAPTERS 1 10
CD ROM Contents xxi
Chapter 13 Subfolder
New England Cycle.xls
Toshi.xls
PBI lndustries.xls
Supplement CD1 Subfolder
Mission Viejo.xls
Ch 8 Inventory.ppt
Ch 9 Queuing.ppt
Ch 10 Simulation.ppt
Ch 11 Quality.ppt
Ch 12 1 Markov.ppt
Ch 12 2 Markov.ppt
Ch 13 NLP.ppt
ER
|
| any_adam_object | 1 |
| author | Lawrence, John A. Pasternack, Barry Alan |
| author_facet | Lawrence, John A. Pasternack, Barry Alan |
| author_role | aut aut |
| author_sort | Lawrence, John A. |
| author_variant | j a l ja jal b a p ba bap |
| building | Verbundindex |
| bvnumber | BV014124890 |
| callnumber-first | H - Social Science |
| callnumber-label | HD30 |
| callnumber-raw | HD30.25 |
| callnumber-search | HD30.25 |
| callnumber-sort | HD 230.25 |
| callnumber-subject | HD - Industries, Land Use, Labor |
| classification_rvk | QH 470 QP 345 |
| ctrlnum | (OCoLC)47717967 (DE-599)BVBBV014124890 |
| dewey-full | 658.4/033 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/033 |
| dewey-search | 658.4/033 |
| dewey-sort | 3658.4 233 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 2. ed. |
| format | Book |
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| id | DE-604.BV014124890 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T18:58:07Z |
| institution | BVB |
| isbn | 0471391905 9780471391906 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009679771 |
| oclc_num | 47717967 |
| open_access_boolean | |
| owner | DE-M347 DE-355 DE-BY-UBR DE-1051 DE-1050 |
| owner_facet | DE-M347 DE-355 DE-BY-UBR DE-1051 DE-1050 |
| physical | XXI, 649 S. Ill., graph. Darst. 1 CD-ROM (12 cm) |
| publishDate | 2002 |
| publishDateSearch | 2002 |
| publishDateSort | 2002 |
| publisher | Wiley |
| record_format | marc |
| spelling | Lawrence, John A. Verfasser aut Applied management science modeling, spreadsheet analysis, and communication for decision making John A. Lawrence ; Barry Alan Pasternack 2. ed. New York [u.a.] Wiley 2002 XXI, 649 S. Ill., graph. Darst. 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Administración - Modelos matemáticos Ciencia de la administración Communication en gestion Comunicación en la administración Gestion - Modèles mathématiques Sciences de la gestion Sistemas de apoyo para la toma de decisiones Systèmes d'aide à la décision Mathematisches Modell Communication in management Decision support systems Management science Management Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Management (DE-588)4037278-9 gnd rswk-swf Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd rswk-swf Operations Research (DE-588)4043586-6 gnd rswk-swf Management (DE-588)4037278-9 s Mathematisches Modell (DE-588)4114528-8 s Entscheidungsunterstützungssystem (DE-588)4191815-0 s DE-604 Operations Research (DE-588)4043586-6 s Pasternack, Barry Alan Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009679771&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Lawrence, John A. Pasternack, Barry Alan Applied management science modeling, spreadsheet analysis, and communication for decision making Administración - Modelos matemáticos Ciencia de la administración Communication en gestion Comunicación en la administración Gestion - Modèles mathématiques Sciences de la gestion Sistemas de apoyo para la toma de decisiones Systèmes d'aide à la décision Mathematisches Modell Communication in management Decision support systems Management science Management Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd Management (DE-588)4037278-9 gnd Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd Operations Research (DE-588)4043586-6 gnd |
| subject_GND | (DE-588)4114528-8 (DE-588)4037278-9 (DE-588)4191815-0 (DE-588)4043586-6 |
| title | Applied management science modeling, spreadsheet analysis, and communication for decision making |
| title_auth | Applied management science modeling, spreadsheet analysis, and communication for decision making |
| title_exact_search | Applied management science modeling, spreadsheet analysis, and communication for decision making |
| title_full | Applied management science modeling, spreadsheet analysis, and communication for decision making John A. Lawrence ; Barry Alan Pasternack |
| title_fullStr | Applied management science modeling, spreadsheet analysis, and communication for decision making John A. Lawrence ; Barry Alan Pasternack |
| title_full_unstemmed | Applied management science modeling, spreadsheet analysis, and communication for decision making John A. Lawrence ; Barry Alan Pasternack |
| title_short | Applied management science |
| title_sort | applied management science modeling spreadsheet analysis and communication for decision making |
| title_sub | modeling, spreadsheet analysis, and communication for decision making |
| topic | Administración - Modelos matemáticos Ciencia de la administración Communication en gestion Comunicación en la administración Gestion - Modèles mathématiques Sciences de la gestion Sistemas de apoyo para la toma de decisiones Systèmes d'aide à la décision Mathematisches Modell Communication in management Decision support systems Management science Management Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd Management (DE-588)4037278-9 gnd Entscheidungsunterstützungssystem (DE-588)4191815-0 gnd Operations Research (DE-588)4043586-6 gnd |
| topic_facet | Administración - Modelos matemáticos Ciencia de la administración Communication en gestion Comunicación en la administración Gestion - Modèles mathématiques Sciences de la gestion Sistemas de apoyo para la toma de decisiones Systèmes d'aide à la décision Mathematisches Modell Communication in management Decision support systems Management science Management Mathematical models Management Entscheidungsunterstützungssystem Operations Research |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009679771&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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