Quantitative analysis for management:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Weitere Verfasser: | |
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boston [u.a.]
Allyn and Bacon
1991
|
| Ausgabe: | 4. ed. |
| Schriftenreihe: | Quantitative methods and applied statistics series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVIII, 862, 28 S. graph. Darst. 26 cm |
| ISBN: | 0205126693 0205126731 0205126758 |
Internformat
MARC
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| 245 | 1 | 0 | |a Quantitative analysis for management |c Barry Render ; Ralph M. Stair. Ed.: Rich Wohl ... |
| 250 | |a 4. ed. | ||
| 264 | 1 | |a Boston [u.a.] |b Allyn and Bacon |c 1991 | |
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Datensatz im Suchindex
| _version_ | 1804138147260399616 |
|---|---|
| adam_text | Brief Contents
1 Introduction to Quantitative Analysis 1
2 Probability Concepts 39
3 Probability Distributions 61
i 4 Forecasting 95
5 Fundamentals of Decision Theory 153
6 Decision Trees and Utility Theory 179
7 Marginal Analysis and the Normal Distribution 245
8 Inventory Control Models: I 267
9 Inventory Control Models: II 293
10 Linear Programming: Graphical Methods 353
11 Linear Programming: The Simplex Method 397
12 Linear Programming: Sensitivity Analysis, Duality and
Computer Use 443
13 Linear Programming Applications 481
14 Transportation and Assignment Problems 511
15 Integer Programming, Goal Programming, and the
Branch and Bound Method 583
16 Waiting Lines: Queuing Theory 629
17 Simulation 667
18 Network Models 719
19 Markov Analysis 787
Modules
A Mathematical Tools: Determinants and Matrices 821
B Game Theory 833
C Dynamic Programming 849
i
Preface xv
1 Introduction to Quantitative
Analysis 1
1.1 Introduction 2
1.2 What Is Quantitative Analysis? 2
1.3 An Application: Polishing the Big Apple
or Cleaning Up New York City 3
1.4 The Quantitative Analysis Approach 4
1.5 An Overview of This Book 9
1.6 Possible Problems in the QA Approach
13
1.7 Implementation—Not Just the Final
Step 16
1.8 Development of QA Within an Organi¬
zation 18
1.9 Quantitative Analysis, Decision Support
Systems, and Artificial Intelligence 20
1.10 The Use of Microcomputers in Quanti¬
tative Analysis 25
Glossary 35 Discussion Questions and Prob¬
lems 36 Bibliography 37
2 Probability Concepts 39 2.1 Introduction 40
2.2 Fundamental Concepts 40
2.3 Mutually Exclusive and Collectively Ex¬
haustive Events 42
2.4 Statistically Independent Events 45
2.5 Statistically Dependent Events 47
2.6 Revising Probabilities with Bayes s Theo¬
rem 49
2.7 Further Probability Revisions 52
2.8 Summary 53
Glossary 53 Key Equations 54 Discussion
Questions and Problems 54 Bibliography
58 Appendix: Derivation of Bayes s Theo¬
rem 59
3 Probability Distributions 61
3.1 Introduction 62
3.2 Random Variables 62
3.3 Probability Distributions 64
3.4 The Binomial Distribution 70
3.5 The Poisson Distribution 73
3.6 The Normal Distribution 75
3.7 The Exponential Distribution 83
3.8 Summary 84
Glossary 85 Key Equations 85 Discussion
Questions and Problems 87 Case Studies:
WTVX 92 Century Chemical Company 93
Bibliography 93
4 Forecastins 95
4.1 Introduction 96
4.2 Types of Forecasts 97
4.3 Scatter Diagrams 98
4.4 Time Series Forecasting Models 98
4.5 Causal Forecasting Methods 114
4.6 Monitoring and Controlling Forecasts 120
4.7 The Delphi Technique 123
4.8 Using the Computer to Forecast 125
4.9 Summary 133
Glossary 135 Key Equations 135 Solved
Problems 137 Discussion Questions and
Problems 139 Case Studies: The North-
South Airline 147 Kwik Lube 148
Bibliography 150
5 Fundamentals of Decision Theory
153
5.1 Introduction 154
5.2 The Six Steps in Decision Theory 154
5.3 Types of Decision-Making Environments
156
5.4 Decision Making Under Risk 157
5.5 Decision Making Under Uncertainty 160
5.6 Using the Computer to Solve Decision
Theory Problems 165
5.7 Summary 165
Glossary 168 Key Equations 168 Solved
Problems 169 Discussion Questions and
Problems 171 Bibliography 177
6 Decision Trees and Utility Theory
179 6.1 Introduction 180
6.2 Decision Trees 180
6.3 How Probability Values are Estimated by
Bayesian Analysis 186
6.4 Utility Theory 192
6.5 Multifactor Decision Making 198
6.6 Use of Microcomputers in Decision The¬
ory 208
6.7 Summary 222
Glossary 222 Key Equations 223 Solved
Problems 224 Discussion Questions and
Problems 229 Case Studies: The Executive
Fisherman 242 Sixty-Six-Year Old Patient
with a Hernia 244 Bibliography 244
7 Marsinal Analysis and the Normal
Distribution 245
7.1 Introduction 246
7.2 Break-Even Analysis and the Normal
Distribution 246
7.3 EVPI and the Normal Distribution 250
7.4 Marginal Analysis 253
7.5 Summary 258
Glossary 258 Key Equations 259 Solved
Problems 259 Discussion Questions and
Problems 261 Bibliography 265 Appendix:
Derivation of Break-Even Point 266
8 Inventory Control Models: I 267
8.1 Introduction 268
8.2 The Importance of Inventory Control 269
8.3 The Inventory Decision 271
8.4 The Economic Order Quantity (EOQ):
Determining How Much to Order 272
8.5 Reorder Point (ROP): Determining When
to Order 277
8.6 Fixed Period Inventory Control System
278
8.7 Sensitivity Analysis 281
8.8 Summary 283
Glossary 284 Key Equations 284 Solved
Problems 285 Discussion Questions and
Problems 286 Case Studies: Sturdivant
Sound Systems 290 Western Ranchman
Outfitters 291 Bibliography 292 Appendix:
Determining EOQ with Calculus 292
9 Inventory Control Models: II 293
9.1 Introduction 294
9.2 EOQ Without the Instantaneous Receipt
Assumption 294
9.3 Quantity Discount Models 298
9.4 Planned Shortages 301
9.5 Use of Safety Stock 305
9.6 ABC Analysis and Joint Ordering 312
9.7 Dependent Demand: The Case for Ma¬
terial Requirements Planning (MRP) 315
9.8 The Kanban System 322
9.9 Using the Computer to Solve Inventory
Control Problems 324
9.10 Summary 336
Glossary 337 Key Equations 337 Solved
Problems 338 Discussion Questions and
Problems 340 Case Studies: Professional
Video Management 348 Touro Infirmary
350 Bibliography 350 Appendix: Solving
the Planned Shortages (Back Order) Model
with Calculus 352
10 Linear Programming: Graphical
Methods 353
10.1 Introduction 354
10.2 Requirements of a Linear Programming
Problem 354
10.3 Formulating Linear Programming Prob¬
lems 356
10.4 Graphical Solution to a Linear Program¬
ming Problem 358
10.5 Solving Minimization Problems 369
10.6 Summary of the Graphical Solution
Method 374
10.7 A Few Special Issues in Linear Pro¬
gramming 375
Glossary 380 Solved Problems 381
Discussion Questions and Problems 385
Case Study: Golding Landscaping 394
Bibliography 394
11 Linear Programming: The Simplex
Method 397
11.1 Introduction 398
11.2 How to Set Up the Initial Simplex
Solution 398
11.3 Simplex Solution Procedures 404
11.4 The Second Simplex Tableau 405
11.5 Developing the Third Tableau 410
11.6 Review of Procedures for Solving LP
Maximization Problems 413
11.7 Surplus and Artificial Variables 413
11.8 Solving Minimization Problems 417
11.9 Special Cases in Using the Simplex
Method 425
11.10 Karmarkar s Algorithm 428
11.11 Summary 429
Glossary 430 Key Equation 431 Solved
Problems 431 Discussion Questions and
Problems 433 Case Study: Coastal States
Chemicals and Fertilizers 440 Bibliography
441
12 Linear Programming: Sensitivity
Analysis, Duality, and Computer Use
443
12.1 Introduction 444
12.2 Sensitivity Analysis 444
12.3 The Dual in Linear Programming 454
12.4 Solving LP Problems by Computer 459
12.5 Summary 464
Glossary 465 Solved Problem 465
Discussion Questions and Problems 467
Case Studies: Red Brand Canners 477
Oakton River Bridge 480 Bibliography 480
13 Linear Programming Applications
481
13.1 Introduction 482
13.2 Marketing Applications 482
13.3 Manufacturing Applications 485
13.4 Employee Scheduling Applications 490
13.5 Financial Applications 494
13.6 Transportation Applications 495
13.7 Ingredient Blending Applications 496
Problems 499 Case Study: Chase Manhattan
Bank 508 Bibliography 509
14 Transportation and Assignment
Problems 511
14.1 Introduction 512
14.2 Setting Up a Transportation Problem
514
14.3 Developing an Initial Solution: The
Northwest Corner Rule 516
14.4 Stepping-Stone Method: Finding a
Least Cost Solution 518
14.5 MODI Method 525
14.6 Vogel s Approximation Method: An¬
other Way to Find an Initial
Solution 528
14.7 Unbalanced Transportation Problems
532
14.8 Degeneracy in Transportation Prob¬
lems 534
14.9 More than One Optimal Solution 538
14.10 Computer Solutions to the Transporta¬
tion Problem 539
14.11 Facility Location Analysis 542
14.12 Approach of the Assignment Model
544
14.13 Dummy Rows and Dummy Columns
552
14.14 Maximization Assignment Problems
553
14.15 Using the Computer to Solve Assign¬
ment Problems 555
Glossary 558 Key Equations 559 Solved
Problems 559 Discussion Questions and
Problems 566 Case Studies: Custom Vans,
Inc. 578 Old Oregon Wood Stove 580
Northwest General Hospital 582
Bibliography 582
15 Integer Programming, Goal
Programming, and The Branch and
Bound Method 583 15.1 Introduction 584
15.2 Integer Programming 584
15.3 The Branch and Bound Method 594
15.4 Goal Programming 603
15.5 Nonlinear Programming 616
Glossary 618 Solved Problems 619 1 8
Discussion Questions and Problems 621
Case Study: Schank Marketing Research 626
Bibliography 627
16 Waiting Lines: Queuing Theory
629
16.1 Introduction 630
16.2 Waiting Line Costs 630
16.3 Characteristics of a Queuing System 633
16.4 Single-Channel Queuing Model with
Poisson Arrivals and Exponential Serv¬
ice Times 638
16.5 Multiple-Channel Queuing Model with
Poisson Arrivals and Exponential Serv¬
ice Times 644
16.6 Constant Service Time Model 649
16.7 More Complex Queuing Models and j 9
the Use of Simulation 650
16.8 Summary 651
Glossary 652 Key Equations 653 Solved
Problems 655 Discussion Questions and
Problems 657 Case Studies: The Metropolis
Subway System 663 New England Castings
664 Bibliography 666
1 7 Simulation 667 17.1 Introduction 668
17.2 Advantages and Disadvantages of Sim¬
ulation 669
17.3 Monte Carlo Simulation 671
17.4 Simulation and Inventory Analysis 677
17.5 Simulation of a Queuing Problem 684
17.6 Simulation Model for a Maintenance
Policy 687
17.7 Two Other Types of Simulation Models
692
17.8 Role of Computers in Simulation 694
17.9 Summary 699
Glossary 699 Solved Problems 700
Discussion Questions and Problems 702
Case Studies: Synergistic Systems Corpora¬
tion 713 Gardner Trucking Company
716 Bibliography 717
t Network Models 719
18.1 Introduction 720
18.2 PERT 722
18.3 PERT/Cost735
18.4 Critical Path Method 741
18.5 Minimal-Spanning Tree Technique 746
18.6 Maximal-Flow Technique 749
18.7 Shortest-Route Technique 754
18.8 Using the Computer to Solve Network
Problems 757
18.9 Summary 768
Glossary 768 Key Equations 769 Solved
Problems 770 Discussion Questions and
Problems 772 Case Studies: Haygood Broth¬
ers Construction Company 782 Bay Com¬
munity Hospital 784 Bibliography 785
Markov Analysis 787
19.1 Introduction 788
19.2 States and State Probabilities: A Grocery
Store Example 788
19.3 The Matrix of Transition Probabilities
790
19.4 Predicting Future Market Shares 791
19.5 Markov Analysis of Machine Operations
792
19.6 Equilibrium Conditions 794
19.7 Absorbing States and the Fundamental
Matrix: An Accounts Receivable Appli¬
cation 797
19.8 Solving Markov Analysis Problems by
Computer 802
19.9 Summary 802
Glossary 802 Key Equations 805 Solved
Problems 805 Discussion Questions and
Problems 809 Case Studies: Sure-Sweet
Sugar Mill 815 Burgers Galore 817
Bibliography 818
MODULES A Mathematical Tools: Determinants
and Matrices 821
A.1 Introduction 822
A.2 Determinants 822
A.3 Matrices 824
A.4 Summary 830
Glossary 830 Problems 830 Bibliography
832
B Game Theory 833
B.1 Introduction 834
B.2 The Language of Games 834
B.3 Pure Strategy Games 835
B.4 Minimax Criterion 836
B.5 Mixed Strategy Games 837
B.6 Dominance 841
B.7 Games Larger Than 2 x 2 842
B.8 Using the Computer to Solve Game Theory
Problems 845
B.9 Summary 845
Glossary 846 Discussion Questions and Prob¬
lems 846 Bibliography 848
C Dynamic Programmins 849
C.1 Introduction 850
C.2 A Shortest-Route Problem Solved by Dy¬
namic Programming 850
C.3 Dynamic Programming Terminology 856
C.4 Using the Computer to Solve Dynamic Pro¬
gramming Problems 858
Glossary 860 Discussion Questions and Prob¬
lems 860 Bibliography 861
Appendixes a-1
A Areas Under the Standard Normal Table
A-2
B The Unit Normal Loss Integral A-3
C The Cumulative Binomial Distribution
A-4
D Values of e~K for Use in the Poisson Distri¬
bution A-15
Answers to Selected Problems S-1
Index 1-1
|
| adam_txt |
Brief Contents
1 Introduction to Quantitative Analysis 1
2 Probability Concepts 39
3 Probability Distributions 61
i 4 Forecasting 95
5 Fundamentals of Decision Theory 153
6 Decision Trees and Utility Theory 179
7 Marginal Analysis and the Normal Distribution 245
8 Inventory Control Models: I 267
9 Inventory Control Models: II 293
10 Linear Programming: Graphical Methods 353
11 Linear Programming: The Simplex Method 397
12 Linear Programming: Sensitivity Analysis, Duality and
Computer Use 443
13 Linear Programming Applications 481
14 Transportation and Assignment Problems 511
15 Integer Programming, Goal Programming, and the
Branch and Bound Method 583
16 Waiting Lines: Queuing Theory 629
17 Simulation 667
18 Network Models 719
19 Markov Analysis 787
Modules
A Mathematical Tools: Determinants and Matrices 821
B Game Theory 833
C Dynamic Programming 849
i
Preface xv
1 Introduction to Quantitative
Analysis 1
1.1 Introduction 2
1.2 What Is Quantitative Analysis? 2
1.3 An Application: Polishing the Big Apple
or Cleaning Up New York City 3
1.4 The Quantitative Analysis Approach 4
1.5 An Overview of This Book 9
1.6 Possible Problems in the QA Approach
13
1.7 Implementation—Not Just the Final
Step 16
1.8 Development of QA Within an Organi¬
zation 18
1.9 Quantitative Analysis, Decision Support
Systems, and Artificial Intelligence 20
1.10 The Use of Microcomputers in Quanti¬
tative Analysis 25
Glossary 35 Discussion Questions and Prob¬
lems 36 Bibliography 37
2 Probability Concepts 39 2.1 Introduction 40
2.2 Fundamental Concepts 40
2.3 Mutually Exclusive and Collectively Ex¬
haustive Events 42
2.4 Statistically Independent Events 45
2.5 Statistically Dependent Events 47
2.6 Revising Probabilities with Bayes's Theo¬
rem 49
2.7 Further Probability Revisions 52
2.8 Summary 53
Glossary 53 Key Equations 54 Discussion
Questions and Problems 54 Bibliography
58 Appendix: Derivation of Bayes's Theo¬
rem 59
3 Probability Distributions 61
3.1 Introduction 62
3.2 Random Variables 62
3.3 Probability Distributions 64
3.4 The Binomial Distribution 70
3.5 The Poisson Distribution 73
3.6 The Normal Distribution 75
3.7 The Exponential Distribution 83
3.8 Summary 84
Glossary 85 Key Equations 85 Discussion
Questions and Problems 87 Case Studies:
WTVX 92 Century Chemical Company 93
Bibliography 93
4 Forecastins 95
4.1 Introduction 96
4.2 Types of Forecasts 97
4.3 Scatter Diagrams 98
4.4 Time Series Forecasting Models 98
4.5 Causal Forecasting Methods 114
4.6 Monitoring and Controlling Forecasts 120
4.7 The Delphi Technique 123
4.8 Using the Computer to Forecast 125
4.9 Summary 133
Glossary 135 Key Equations 135 Solved
Problems 137 Discussion Questions and
Problems 139 Case Studies: The North-
South Airline 147 Kwik Lube 148
Bibliography 150
5 Fundamentals of Decision Theory
153
5.1 Introduction 154
5.2 The Six Steps in Decision Theory 154
5.3 Types of Decision-Making Environments
156
5.4 Decision Making Under Risk 157
5.5 Decision Making Under Uncertainty 160
5.6 Using the Computer to Solve Decision
Theory Problems 165
5.7 Summary 165
Glossary 168 Key Equations 168 Solved
Problems 169 Discussion Questions and
Problems 171 Bibliography 177
6 Decision Trees and Utility Theory
179 6.1 Introduction 180
6.2 Decision Trees 180
6.3 How Probability Values are Estimated by
Bayesian Analysis 186
6.4 Utility Theory 192
6.5 Multifactor Decision Making 198
6.6 Use of Microcomputers in Decision The¬
ory 208
6.7 Summary 222
Glossary 222 Key Equations 223 Solved
Problems 224 Discussion Questions and
Problems 229 Case Studies: The Executive
Fisherman 242 Sixty-Six-Year Old Patient
with a Hernia 244 Bibliography 244
7 Marsinal Analysis and the Normal
Distribution 245
7.1 Introduction 246
7.2 Break-Even Analysis and the Normal
Distribution 246
7.3 EVPI and the Normal Distribution 250
7.4 Marginal Analysis 253
7.5 Summary 258
Glossary 258 Key Equations 259 Solved
Problems 259 Discussion Questions and
Problems 261 Bibliography 265 Appendix:
Derivation of Break-Even Point 266
8 Inventory Control Models: I 267
8.1 Introduction 268
8.2 The Importance of Inventory Control 269
8.3 The Inventory Decision 271
8.4 The Economic Order Quantity (EOQ):
Determining How Much to Order 272
8.5 Reorder Point (ROP): Determining When
to Order 277
8.6 Fixed Period Inventory Control System
278
8.7 Sensitivity Analysis 281
8.8 Summary 283
Glossary 284 Key Equations 284 Solved
Problems 285 Discussion Questions and
Problems 286 Case Studies: Sturdivant
Sound Systems 290 Western Ranchman
Outfitters 291 Bibliography 292 Appendix:
Determining EOQ with Calculus 292
9 Inventory Control Models: II 293
9.1 Introduction 294
9.2 EOQ Without the Instantaneous Receipt
Assumption 294
9.3 Quantity Discount Models 298
9.4 Planned Shortages 301
9.5 Use of Safety Stock 305
9.6 ABC Analysis and Joint Ordering 312
9.7 Dependent Demand: The Case for Ma¬
terial Requirements Planning (MRP) 315
9.8 The Kanban System 322
9.9 Using the Computer to Solve Inventory
Control Problems 324
9.10 Summary 336
Glossary 337 Key Equations 337 Solved
Problems 338 Discussion Questions and
Problems 340 Case Studies: Professional
Video Management 348 Touro Infirmary
350 Bibliography 350 Appendix: Solving
the Planned Shortages (Back Order) Model
with Calculus 352
10 Linear Programming: Graphical
Methods 353
10.1 Introduction 354
10.2 Requirements of a Linear Programming
Problem 354
10.3 Formulating Linear Programming Prob¬
lems 356
10.4 Graphical Solution to a Linear Program¬
ming Problem 358
10.5 Solving Minimization Problems 369
10.6 Summary of the Graphical Solution
Method 374
10.7 A Few Special Issues in Linear Pro¬
gramming 375
Glossary 380 Solved Problems 381
Discussion Questions and Problems 385
Case Study: Golding Landscaping 394
Bibliography 394
11 Linear Programming: The Simplex
Method 397
11.1 Introduction 398
11.2 How to Set Up the Initial Simplex
Solution 398
11.3 Simplex Solution Procedures 404
11.4 The Second Simplex Tableau 405
11.5 Developing the Third Tableau 410
11.6 Review of Procedures for Solving LP
Maximization Problems 413
11.7 Surplus and Artificial Variables 413
11.8 Solving Minimization Problems 417
11.9 Special Cases in Using the Simplex
Method 425
11.10 Karmarkar's Algorithm 428
11.11 Summary 429
Glossary 430 Key Equation 431 Solved
Problems 431 Discussion Questions and
Problems 433 Case Study: Coastal States
Chemicals and Fertilizers 440 Bibliography
441
12 Linear Programming: Sensitivity
Analysis, Duality, and Computer Use
443
12.1 Introduction 444
12.2 Sensitivity Analysis 444
12.3 The Dual in Linear Programming 454
12.4 Solving LP Problems by Computer 459
12.5 Summary 464
Glossary 465 Solved Problem 465
Discussion Questions and Problems 467
Case Studies: Red Brand Canners 477
Oakton River Bridge 480 Bibliography 480
13 Linear Programming Applications
481
13.1 Introduction 482
13.2 Marketing Applications 482
13.3 Manufacturing Applications 485
13.4 Employee Scheduling Applications 490
13.5 Financial Applications 494
13.6 Transportation Applications 495
13.7 Ingredient Blending Applications 496
Problems 499 Case Study: Chase Manhattan
Bank 508 Bibliography 509
14 Transportation and Assignment
Problems 511
14.1 Introduction 512
14.2 Setting Up a Transportation Problem
514
14.3 Developing an Initial Solution: The
Northwest Corner Rule 516
14.4 Stepping-Stone Method: Finding a
Least Cost Solution 518
14.5 MODI Method 525
14.6 Vogel's Approximation Method: An¬
other Way to Find an Initial
Solution 528
14.7 Unbalanced Transportation Problems
532
14.8 Degeneracy in Transportation Prob¬
lems 534
14.9 More than One Optimal Solution 538
14.10 Computer Solutions to the Transporta¬
tion Problem 539
14.11 Facility Location Analysis 542
14.12 Approach of the Assignment Model
544
14.13 Dummy Rows and Dummy Columns
552
14.14 Maximization Assignment Problems
553
14.15 Using the Computer to Solve Assign¬
ment Problems 555
Glossary 558 Key Equations 559 Solved
Problems 559 Discussion Questions and
Problems 566 Case Studies: Custom Vans,
Inc. 578 Old Oregon Wood Stove 580
Northwest General Hospital 582
Bibliography 582
15 Integer Programming, Goal
Programming, and The Branch and
Bound Method 583 15.1 Introduction 584
15.2 Integer Programming 584
15.3 The Branch and Bound Method 594
15.4 Goal Programming 603
15.5 Nonlinear Programming 616
Glossary 618 Solved Problems 619 1 8
Discussion Questions and Problems 621
Case Study: Schank Marketing Research 626
Bibliography 627
16 Waiting Lines: Queuing Theory
629
16.1 Introduction 630
16.2 Waiting Line Costs 630
16.3 Characteristics of a Queuing System 633
16.4 Single-Channel Queuing Model with
Poisson Arrivals and Exponential Serv¬
ice Times 638
16.5 Multiple-Channel Queuing Model with
Poisson Arrivals and Exponential Serv¬
ice Times 644
16.6 Constant Service Time Model 649
16.7 More Complex Queuing Models and j 9
the Use of Simulation 650
16.8 Summary 651
Glossary 652 Key Equations 653 Solved
Problems 655 Discussion Questions and
Problems 657 Case Studies: The Metropolis
Subway System 663 New England Castings
664 Bibliography 666
1 7 Simulation 667 17.1 Introduction 668
17.2 Advantages and Disadvantages of Sim¬
ulation 669
17.3 Monte Carlo Simulation 671
17.4 Simulation and Inventory Analysis 677
17.5 Simulation of a Queuing Problem 684
17.6 Simulation Model for a Maintenance
Policy 687
17.7 Two Other Types of Simulation Models
692
17.8 Role of Computers in Simulation 694
17.9 Summary 699
Glossary 699 Solved Problems 700
Discussion Questions and Problems 702
Case Studies: Synergistic Systems Corpora¬
tion 713 Gardner Trucking Company
716 Bibliography 717
t Network Models 719
18.1 Introduction 720
18.2 PERT 722
18.3 PERT/Cost735
18.4 Critical Path Method 741
18.5 Minimal-Spanning Tree Technique 746
18.6 Maximal-Flow Technique 749
18.7 Shortest-Route Technique 754
18.8 Using the Computer to Solve Network
Problems 757
18.9 Summary 768
Glossary 768 Key Equations 769 Solved
Problems 770 Discussion Questions and
Problems 772 Case Studies: Haygood Broth¬
ers Construction Company 782 Bay Com¬
munity Hospital 784 Bibliography 785
Markov Analysis 787
19.1 Introduction 788
19.2 States and State Probabilities: A Grocery
Store Example 788
19.3 The Matrix of Transition Probabilities
790
19.4 Predicting Future Market Shares 791
19.5 Markov Analysis of Machine Operations
792
19.6 Equilibrium Conditions 794
19.7 Absorbing States and the Fundamental
Matrix: An Accounts Receivable Appli¬
cation 797
19.8 Solving Markov Analysis Problems by
Computer 802
19.9 Summary 802
Glossary 802 Key Equations 805 Solved
Problems 805 Discussion Questions and
Problems 809 Case Studies: Sure-Sweet
Sugar Mill 815 Burgers Galore 817
Bibliography 818
MODULES A Mathematical Tools: Determinants
and Matrices 821
A.1 Introduction 822
A.2 Determinants 822
A.3 Matrices 824
A.4 Summary 830
Glossary 830 Problems 830 Bibliography
832
B Game Theory 833
B.1 Introduction 834
B.2 The Language of Games 834
B.3 Pure Strategy Games 835
B.4 Minimax Criterion 836
B.5 Mixed Strategy Games 837
B.6 Dominance 841
B.7 Games Larger Than 2 x 2 842
B.8 Using the Computer to Solve Game Theory
Problems 845
B.9 Summary 845
Glossary 846 Discussion Questions and Prob¬
lems 846 Bibliography 848
C Dynamic Programmins 849
C.1 Introduction 850
C.2 A Shortest-Route Problem Solved by Dy¬
namic Programming 850
C.3 Dynamic Programming Terminology 856
C.4 Using the Computer to Solve Dynamic Pro¬
gramming Problems 858
Glossary 860 Discussion Questions and Prob¬
lems 860 Bibliography 861
Appendixes a-1
A Areas Under the Standard Normal Table
A-2
B The Unit Normal Loss Integral A-3
C The Cumulative Binomial Distribution
A-4
D Values of e~K for Use in the Poisson Distri¬
bution A-15
Answers to Selected Problems S-1
Index 1-1 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Render, Barry 1946- Stair, Ralph M. 1945- |
| author2 | Wohl, Rich |
| author2_role | edt |
| author2_variant | r w rw |
| author_GND | (DE-588)135972833 (DE-588)136669581 |
| author_facet | Render, Barry 1946- Stair, Ralph M. 1945- Wohl, Rich |
| author_role | aut aut |
| author_sort | Render, Barry 1946- |
| author_variant | b r br r m s rm rms |
| building | Verbundindex |
| bvnumber | BV023508149 |
| callnumber-first | T - Technology |
| callnumber-label | T56 |
| callnumber-raw | T56.R544 1990 |
| callnumber-search | T56.R544 1990 |
| callnumber-sort | T 256 R544 41990 |
| callnumber-subject | T - General Technology |
| classification_rvk | QH 470 |
| ctrlnum | (OCoLC)610670784 (DE-599)BVBBV023508149 |
| dewey-full | 658.4/0320 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4/03 20 |
| dewey-search | 658.4/03 20 |
| dewey-sort | 3658.4 13 220 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | 4. ed. |
| format | Book |
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| genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
| genre_facet | Lehrbuch |
| id | DE-604.BV023508149 |
| illustrated | Illustrated |
| index_date | 2024-07-02T22:30:57Z |
| indexdate | 2024-07-09T21:23:34Z |
| institution | BVB |
| isbn | 0205126693 0205126731 0205126758 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016831850 |
| oclc_num | 610670784 |
| open_access_boolean | |
| owner | DE-521 DE-83 |
| owner_facet | DE-521 DE-83 |
| physical | XVIII, 862, 28 S. graph. Darst. 26 cm |
| publishDate | 1991 |
| publishDateSearch | 1991 |
| publishDateSort | 1991 |
| publisher | Allyn and Bacon |
| record_format | marc |
| series2 | Quantitative methods and applied statistics series |
| spelling | Render, Barry 1946- Verfasser (DE-588)135972833 aut Quantitative analysis for management Barry Render ; Ralph M. Stair. Ed.: Rich Wohl ... 4. ed. Boston [u.a.] Allyn and Bacon 1991 XVIII, 862, 28 S. graph. Darst. 26 cm txt rdacontent n rdamedia nc rdacarrier Quantitative methods and applied statistics series Management science Operations research Unternehmensleitung (DE-588)4233771-9 gnd rswk-swf Management (DE-588)4037278-9 gnd rswk-swf Operations Research (DE-588)4043586-6 gnd rswk-swf Entscheidungsprozess (DE-588)4121202-2 gnd rswk-swf Entscheidungstheorie (DE-588)4138606-1 gnd rswk-swf Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Quantitative Analyse (DE-588)4125311-5 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Management (DE-588)4037278-9 s Entscheidungsprozess (DE-588)4121202-2 s Operations Research (DE-588)4043586-6 s Quantitative Methode (DE-588)4232139-6 s DE-604 Quantitative Analyse (DE-588)4125311-5 s 2\p DE-604 Unternehmensleitung (DE-588)4233771-9 s 3\p DE-604 Entscheidungstheorie (DE-588)4138606-1 s 4\p DE-604 Stair, Ralph M. 1945- Verfasser (DE-588)136669581 aut Wohl, Rich edt HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016831850&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 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Render, Barry 1946- Stair, Ralph M. 1945- Quantitative analysis for management Management science Operations research Unternehmensleitung (DE-588)4233771-9 gnd Management (DE-588)4037278-9 gnd Operations Research (DE-588)4043586-6 gnd Entscheidungsprozess (DE-588)4121202-2 gnd Entscheidungstheorie (DE-588)4138606-1 gnd Quantitative Methode (DE-588)4232139-6 gnd Quantitative Analyse (DE-588)4125311-5 gnd |
| subject_GND | (DE-588)4233771-9 (DE-588)4037278-9 (DE-588)4043586-6 (DE-588)4121202-2 (DE-588)4138606-1 (DE-588)4232139-6 (DE-588)4125311-5 (DE-588)4123623-3 |
| title | Quantitative analysis for management |
| title_auth | Quantitative analysis for management |
| title_exact_search | Quantitative analysis for management |
| title_exact_search_txtP | Quantitative analysis for management |
| title_full | Quantitative analysis for management Barry Render ; Ralph M. Stair. Ed.: Rich Wohl ... |
| title_fullStr | Quantitative analysis for management Barry Render ; Ralph M. Stair. Ed.: Rich Wohl ... |
| title_full_unstemmed | Quantitative analysis for management Barry Render ; Ralph M. Stair. Ed.: Rich Wohl ... |
| title_short | Quantitative analysis for management |
| title_sort | quantitative analysis for management |
| topic | Management science Operations research Unternehmensleitung (DE-588)4233771-9 gnd Management (DE-588)4037278-9 gnd Operations Research (DE-588)4043586-6 gnd Entscheidungsprozess (DE-588)4121202-2 gnd Entscheidungstheorie (DE-588)4138606-1 gnd Quantitative Methode (DE-588)4232139-6 gnd Quantitative Analyse (DE-588)4125311-5 gnd |
| topic_facet | Management science Operations research Unternehmensleitung Management Operations Research Entscheidungsprozess Entscheidungstheorie Quantitative Methode Quantitative Analyse Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016831850&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT renderbarry quantitativeanalysisformanagement AT stairralphm quantitativeanalysisformanagement AT wohlrich quantitativeanalysisformanagement |