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INTRODUCTION TO MANAGEMENT SCIENCE EIGHTH EDITION【2025|PDF|Epub|mobi|kindle电子书版本百度云盘下载】
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- 著
- 出版社: PRENTICE HALL
- ISBN:0131424394
- 出版时间:2004
- 标注页数:762页
- 文件大小:182MB
- 文件页数:779页
- 主题词:
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图书目录
1 Management Science1
The Management Science Approach to Problem Solving2
Observation3
Definition of the Problem3
Model Construction3
Model Solution4
Time Out:for Pioneers in Management Science5
Management Science Application:Management Science at Taco Bell6
Implementation7
Model Building:Break-Even Analysis7
Components of Break-Even Analysis7
Cornputing the Break-Even Point8
Graphical Solution9
Sensitivity Analysis10
Computer Solution12
Excel Spreadsheets13
The Excel QM Macro for Spreadsheets14
QM for Windows15
Management Science Modeling Techniques16
Linear Mathematical Programming Techniques16
Probabilistic Techniques17
Network Techniques17
Other Techniques18
Business Usage of Management Science Techniques18
Management Science Application:Management Science at Federal Express19
Management Science Models in Decision Support Systems20
Management Science Application:A Decision Support System for Aluminum Can Production at Coors22
Summary22
References23
Problems23
Case Problems26
2 Linear Programming:Model Formulation and Graphical Solution28
Model Formulation29
A Maximization Model Example29
Time Out:for George B.Dantzig30
Decision Variables30
The Objective Function30
Model Constraints31
Graphical Solutions of Linear Programming Models32
Graphical Solution of a Maximization Model32
Management Sclence Application:Operational Cost Control at Kellogg’s33
The Optimal Solution Point36
The Solution Values38
Slack Variables42
Management Science Application:Estimating Food Nutrient Values at Minnesota’s Nutrition Coordinating Center44
Summary of the Graphical Solution Steps44
A Minimization Model Example45
Decision Variables45
The Objective Function45
Model Constraints46
Graphical Solution of a Minimization Model46
Management Sclence Application:Chemical Production at Monsanto48
Surplus Variables49
Irregular Types of Linear Programming Problems50
Multiple Optimal Solutions50
An Infeasible Problem51
An Unbounded Problem52
Characteristics of Linear Programming Problems53
Properties of Linear Programming Models53
Summary54
References54
Example Problem Solutions54
Problems58
Case Problems66
3 Linear Programming:Computer Solution and Sensitivity Analysis68
Computer Solution69
Excel Spreadsheets69
QM for Windows73
Sensitivity Analysis75
Changes in Obiective Function Coefficients75
Management Science Application:Grape Juice Management at Welch’s77
Objective Function Coefficient Ranges with the Computer80
Changes in Constraint Quantity Values81
Constraint Quantity Values Range with the Computer83
Other Forms of Sensitivity Analysis84
Shadow Prices86
Summary87
References87
Example Problem Solution88
Problems90
Case Problems102
4 Linear Programming:Modeling Examples104
A Product Mix Example105
Decision Variables106
The Objective Function106
Model Constraints106
Model Summary106
Computer Solution with Excel107
Computer Solution with QM for Windows108
Solution Analysis108
A Diet Example109
Decision Variables109
The Objective Function110
Model Constraints110
Model Summary110
Computer Solution with Excel110
Solution Analysis111
An Investment Example112
Management Science Application:The Evolution of the Diet Problem113
Decision Variables113
The Objective Function113
Model Constraints114
Model Summary115
Computer Solution with Excel115
Solution Analysis116
Management Science Application:A Linear Programming Model for Optimal Portfolio Selection at Prudential Securities,Inc.118
A Marketing Example118
Decision Variables119
The Objective Function119
Model Constraints119
Model Summary120
Computer Solution with Excel120
Solution Analysis121
A Transportation Example121
Decision Variables122
The Objective Function123
Model Constraints123
Model Summary123
Computer Solution with Excel124
Solution Analysis124
A Blend Example125
Decision Variables125
The Objective Function126
Model Constraints126
Model Summary127
Computer Solution with Excel127
Solution Analysis128
A Multiperiod Scheduling Example129
Decision Variables129
Management Science Application:Gasoline Blending at Texaco130
The Objective Function130
Model Constraints130
Model Summary131
Computer Solution with Excel131
Solution Analysis132
A Data Envelopment Analysis Example133
Management Science Application:Analyzing Bank Branch Efficiency with DEA134
Decision Variables135
The Objective Function135
Model Constraints135
Model Summary136
Computer Solution with Excel136
Solution Analysis136
Summary137
References138
Example Problem Solution138
Problems140
Case Problems167
5 Integer Programming171
Integer Programming Models172
A Total Integer Model Example172
A 0-1 Integer Model Example173
A Mixed Integer Model Example174
Management Science Application:Allocating Operating Room Time at Toronto’s Mount Sinai Hospital175
Integer Programming Graphical Solution176
Computer Solution of Integer Programming Problems with Excel and QM for Windows178
Solution of the 0-1 Model with Excel178
Time Out:for Ralph E.Gomory179
Solution of the 0-1 Model with QM for Windows179
Management Science Application:Minimizing Color Photographic Paper Waste at Kodak181
Solution of the Total Integer Model with Excel181
Solution of the Mixed Integer Model with Excel182
Solution of the Mixed Integer Model with QM for Windows184
0-1 Integer Programming Modeling Examples185
A Capital Budgeting Example185
Management Science Application:Optimal Assignment of Gymnasts to Events185
A Fixed Charge and Facility Location Example187
A Set Covering Example190
Management Sclence Application:Managing Prototype Vehicle Test Fleets at Ford191
Summary193
References193
Example Problem Solution194
Problems195
Case Problems206
6 Transportation,Transshipment,and Assignment Problems211
The Transportation Model212
Time Out:for Frank L.Hitchcock ana Tjalling C.Koopmans214
Management Science Application:Transporting Sand for Airport Construction Landfill215
Computer Solution of a Transportation Problem215
Computer Solution with Excel215
Computer Solution with Excel QM216
QM for Windows Solution218
The Transshipment Model219
Computer Solution with Excel221
The Assignment Model222
Computer Solution of the Assignment Problem223
Computer Solution with Excel223
Computer Solution with QM for Windows225
Management Science Application:Assigning Managers to Construction Projects226
Summary226
References227
Example Problem Solution227
Problems228
Case Problems251
7 Network Flow Models256
Network Components257
The Shortest Route Problem258
The Shortest Route Solution Approach259
Computer Solution of the Shortest Route Problem with QM for Windows262
Computer Solution of the Shortest Route Problem with Excel263
The Minimal Spanning Tree Problem265
Management Science Application:Reducing Travel Costs at the Defense Contract Management Agency266
The Minimal Spanning Tree Solution Approach267
Computer Solution of the Minimal Spanning Tree Problem with QM for Windows269
The Maximal Flow Problem270
The Maximal Flow Solution Approach270
Time Out:for E.W.Dijkstra,L.R.Ford Jr.,and D.R.Fulkerson271
ManagementScience Application:Improving Service for Yellow Freight System’s Terminal Network272
Computer Solution of the Maximal Flow Problem with QM for Windows273
Computer Solution of the Maximal Flow Problem with Excel274
Summary276
References277
Example Problem Solution277
Problems279
Case Problems295
8 Project Management301
The Elements of Project Management302
The Project Team302
Project Planning303
Time Out for Morgan R.Walker,James E.Kelley Jr.,and D.G.Malcolm304
Project Control304
Project Networks304
The Gantt Chart304
The CPM/PERT Network305
Management Science Application:Project “Magic” at Disney Imagineering306
Concurrent Activities307
Time Out:for Henry Gantt307
The Critical Path308
Activity Scheduling310
Activity Slack312
Probabilistic Activity Times314
Probability Analysis of the Project Network318
Management Science Application:The Mars Pathfinder Project320
CPM/PERT Analysis with QM for Windows321
Activity-on-Node Networks and Microsoft Project321
The AON Network Convention321
Microsoft Project322
Project Crashing and Time-Cost Trade-Off324
Project Crashing with QM for Windows328
The General Relationship of Time and Cost328
Management Science Application:Kodak’s Advantix Advanced Photo System Project329
Formulating the CPM/PERT Network as a Linear Programming Model330
Solution of the CPM/PERT Linear Programming Model with Excel331
Project Crashing with Linear Programming333
Project Crashing with Excel335
Summary336
References337
Example Problem Solution337
Problems340
Case Problems354
9 Multicriteria Decision Making357
Goal Programming358
Model Formulation358
Labor Goal359
Profit Goal360
Material Goal360
Alternative Forms of Goal Constraints361
Graphical Interpretation of Goal Programming362
Computer Solution of Goal Programming Problems with QM for Windows and Excel365
Management Science Application:Developing Television Advertising Sales Plan at NBC366
QM for Windows366
Excel Spreadsheets367
Time Out:for Abraham Charnes and William W.Cooper 369The Analytical Hierarchy Process372
Management Science Application:Assigning MBA Students to Project Teams at the University of South Carolina373
Pairwise Comparisons374
Developing Preferences Within Criteria375
Ranking the Criteria376
Developing an Overall Ranking377
AHP Consistency378
AHP with Excel Spreadsheets380
Management Science Application:Selecting a Site for a New Ice Hockey Arena with AHP381
Scoring Model384
Scoring Model with Excel Solution385
Summary385
References386
Example Problem Solution386
Problems390
Case Problems414
10 Nonlinear Programming417
Nonlinear Profit Analysis418
Constrained Optimization421
Solution of Nonlinear Programming Problems with Excel424
A Nonlinear Programming Model with Multiple Constraints427
Nonlinear Model Examples429
Facility Location429
Investment Portfolio Selection431
Management Science Application:Gas Production in Australia432
Summary434
References435
Example Problem Solution435
Problems435
Case Problems440
11 Probability and Statistics442
Types of Probability443
Objective Probability443
Subjective Probability444
Fundamentals of Probability445
Management Science Application:Treasure Hunting with Probability and Statistics447
Statistical Independence and Dependence449
Independent Events449
Probability Trees450
The Binomial Distribution450
DependentEvents453
Bayesian Analysis455
Expected Value456
Management Science Application:A Probability Model for Analyzing Coast Guard Patrol Effectiveness458
The Normal Distribution458
Sample Mean and Variance463
The Chi-Square Test for Normality465
Statistical Analysis with Excel468
Summary470
References470
Example Problem Solution470
Problems472
Case Problem479
12 Decision Analysis480
Components of Decision Making481
Decision Making without Probabilities482
Decision-Making Criteria482
The Maximax Criterion482
Management Science Application:Decision Analysis at DuPont483
The Maximin Criterion483
The Minimax Regret Criterion484
The Hurwicz Criterion485
The Equal Likelihood Criterion486
Summary of Criteria Results486
Solution of Decision-Making Problems without Probabilities with QM for Windows487
Decision Making with Probabilities488
Expected Value488
Expected Opportunity Loss489
Solution of Expected Value Problems with QM for Windows490
Solution of Expected Value Problems with Excel and Excel QM490
Expected Value of Perfect Information491
Decision Trees493
Decision Trees with QM for Windows495
Decision Trees with Excel and TreePlan495
Management Science Application:Evaluating Electric Generator Maintenance Schedules with Decision Tree Analysis498
Sequential Decision Trees498
Sequential Decision Tree Analysis with QM for Windows501
Sequential Decision Tree Analysis with Excel and TreePlan502
Decision Analysis with Additional Information502
Management Science Application:Decision Analysis in the Electric Power Industry503
Decision Trees with Posterior Probabilities504
Management Science Application:Discount Fare Allocation at American Airlines506
Computing Posterior Probabilities with Tables508
Computing Posterior Probabilities with Excel508
The Expected Value of Sample Information509
Management Science Application:Scheduling Refueling at the Indian Point 3 Nuclear Power Plant510
Utility510
Summary512
References512
Example Problem Solution512
Problems516
Case Problems533
13 Queuing Analysis537
Elements of Waiting Line Analysis538
The Single-Server Waiting Line System539
The Queue Discipline539
Time Out:for Agner Krarup Erlang540
The Calling Population540
TheArrivalRate540
The Service Rate540
The Single-Server Model541
The Effect of Operating Characteristics on Managerial Decisions544
Computer Solution of the Single-Server Model with Excel and Excel QM546
Computer Solution of the Single-Server Model with QM for Windows548
Undefined and Constant Service Times548
Management Science Application:Reducing Arrest-to-Arraignment Times in New York City550
Computer Solution of the Constant Service Time Model with Excel551
Computer Solution of the Undefined and Constant Service Time Models with QM for Windows552
Finite Queue Length552
Management Science Application:Providing Optimal Telephone Order Service at L.L.Bean554
Computer Solution of the Finite Queue Model with Excel554
Computer Solution of the Finite Queue Model with QM for Windows555
Finite Calling Population555
Computer Solution of the Finite Calling Population Model with Excel and Excel QM557
Computer Solution of the Finite Calling Population Model with QM for Windows558
The Multiple-Server Waiting Line558
Computer Solution of the Multiple-Server Model with Excel and Excel QM562
Computer Solution of the Multiple-Server Model with QM for Windows563
Additional Types of Queuing Systems563
Summary564
References565
Example Problem Solution565
Problems566
Case Problems574
14 Simulation576
The Monte Carlo Process577
The Use of Random Numbers577
Management Science Application:Improving the Red Cross Blood Donation Process Using Simulation581
Time Out:for John Von Neumann582
Computer Simulation with Excel Spreadsheets583
Decision Making with Simulation586
Simulation of a Queuing System588
Computer Simulation of the Queuing Example with Excel591
Management Science Application:Simulating the Israeli Army Recruitment Process592
Continuous Probability Distributions593
Simulation of a Machine Breakdown and Maintenance System594
Computer Simulation of the Machine Breakdown Example Using Excel596
Statistical Analysis of Simulation Results598
Crystal Ball600
Simulation of a Profit Analysis Model600
Verification of the Simulation Model608
Areas of Simulation Application608
Queuing609
Inventory Control609
Production and Manufacturing609
Finance609
Marketing609
Public Service Operations609
Environmental and Resource Analysis609
Management Science Application:Simulating a 10-km Race in Boulder,Colorado610
Summary610
References611
Example Problem Solution611
Problems613
Case Problems628
15 Forecasting631
Forecasting Components632
ForecastingMethods633
Time Series Methods634
MovingAverage634
Weighted Moving Average637
Management Science Application:Product Forecasting at Nabisco638
Exponential Smoothing639
Management Science Application:Forecasting CustomerDemand at Taco Bell639
Adjusted Exponential Smoothing642
Linear Tread Line644
Management Science Application:Forecasting Demand for Discount Fares at American Airlines644
Seasonal Adjustments646
Management Science Application:Forecasting Service Calls at Federal Express648
Forecast Accuracy648
Mean Absolute Deviation649
Cumulative Error650
Management Science Application:Demand Forecasting at National Car Rental652
Time Series Forecasting Using Excel653
Computing the Exponential Smoothing Forecast with Excel QM655
Time Series Forecasting Using QM for Windows655
Regression Methods656
Linear Regression657
Correlation658
Management Science Application:Competing withAccurate Daily Demand Forecasts at Vermont Gas Systems660
Regression Analysis with Excel660
Regression Analysis with QM for Windows664
Multiple Regression with Excel665
Summary667
References667
Example Problem Solutions668
Problems670
Case Problems689
16 Inventory Management691
Elements of Inventory Management692
The Role of Inventory692
Demand693
Inventory Costs693
Inventory Control Systems694
Continuous Inventory Systems694
Periodic Inventory Systems695
Time Out:for Ford Harris696
Economic Order Quantity Models696
The Basic EOQ Model696
Carrying Cost697
Ordering Cost699
Total Inventory Cost699
EOQ Analysis over Time701
The EOQ Model with Noninstantaneous Receipt702
The EOQ Model with Shortages705
Management Science Application:Online Inventory Management at IBM708
EOQ Analysis with QM for Windows709
EOQ Analysis with Excel and Excel QM709
Quantity Discounts710
Quantity Discounts with Constant Carrying Costs711
Quantity Discounts with Constant Carrying Costsas a Percentage of Price712
Quantity Discount Model Solution with QM for Windows714
Reorder Point714
Safety Stocks715
Determining Safety Stocks Using Service Levels716
Reorder Point with Variable Demand716
Determining the Reorder Point with Excel717
Reorder Point with Variable Lead Time718
Reorder Point with Variable Demand and Lead Time718
Management Science Application:Establishing Inventory Safety Stocks at Kellogg’s719
Order Quantity for a Periodic Inventory System720
Order Quantity with Variable Demand720
Determining the Order Quantity for the Fixed-Period Model with Excel721
Summary722
References722
Example Problem Solutions722
Problems724
Case Problems731
Appendix A Normal Table733
Appendix B Setting Up and Editing a Spreadsheet735
Titles and Headings735
Borders735
Column Centering736
Deleting and Inserting Rows and Columns736
Decimal Places736
Appendix C The Poisson and Exponential Distributions739
The Poisson Distribution739
The Exponential Distribution740
Solutions to Selected Odd-Numbered Problems741
Glossary749
Index755
Photo Credits763
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