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9780873935890

Introduction to Management Science

by ;
  • ISBN13:

    9780873935890

  • ISBN10:

    0873935896

  • Format: Paperback
  • Copyright: 1999-04-30
  • Publisher: Dame Publishing
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Table of Contents

The Role of Management Science
What's it all About?
1(1)
Management and Decision Making
2(2)
Rationality in Decision Making
4(4)
The Scientific Method
5(2)
The Concept of Economic Person
7(1)
Management Science and the Systems Approach
8(2)
How Managers Actually Make Decisions
10(1)
The Role of Management Science
11(3)
Practical Application of Management Science
14(1)
New Paradigm and Management Science
15(2)
Building a Better Perspective
17(1)
Summary
18(5)
Modeling in Management Science
Introduction to Modeling
23(2)
Management Science Modeling
25(5)
The Model Structure
26(1)
The Model Components
26(3)
Relationships within the Model
29(1)
Decision-Making Environment
30(7)
Decision Making under Certainty
30(1)
Automated Scheduling System
31(1)
Decision Making under Risk
32(1)
Telephone System Analysis
33(1)
Decision Making under Uncertainty
34(1)
Real Treasure Hunting
35(1)
Decision Making under Conflict
36(1)
Finnish Agricultural Inc.ome Policy
36(1)
The Process of Management Science Modeling
37(4)
Formulation of the Problem
38(2)
Development of the Model
40(1)
Model Validation and Data Collection
40(1)
Solution of the Model
41(1)
Implementation of the Solution
41(1)
Keeping a Proper Perspective about Models
41(2)
Summary
43(4)
Introduction to Linear Programming
Basic Concepts of Linear Programming
47(5)
A Brief History
48(1)
Basic Requirements
48(2)
Application Areas
50(2)
Model Formulation
52(37)
Galaxy Electronics, Inc.
53(3)
The Orientation Program for First-Year Students
56(2)
UR# 1 Limousine Service Company
58(3)
Leon's Groceries
61(5)
Graphical Solution Method
66(1)
A Simple Maximization Problem
66(12)
Analysis of Slack Variables
78(2)
A Simple Minimization Problem
80(4)
Analysis of Surplus Variables
84(1)
A Problem with an Equality Constraint
85(2)
Some Complications
87(2)
Real-World Applications of Linear Programming
89(4)
Credit Card Debt Collection
90(1)
Diet Management
91(1)
Scheduling Transportation Systems
92(1)
Summary
93(12)
Simplex Method of Linear Programming
The Simplex Method
105(2)
The Simplex Solution Procedure
107(22)
Candex Camere Works Ltd.
107(1)
Develop the Simplex Model
108(1)
Determine the Initial Solution
109(5)
Test Optimality
114(1)
Identify the Entering Variable
114(2)
Determine the Leaving Variable
116(3)
Develop a New Solution
119(4)
Test Optimality and Repeat the Procedure
123(2)
Interpret the Optimal Solution
125(3)
Summary of the Simplex Solution Procedure
128(1)
Simplex Solution of a Problem with Mixed Constraints
129(10)
A Maximization Problem with Mixed Constraints
129(10)
Simplex Solution of a Minimization Problem
139(3)
The Orientation Program for First-Year Students
139(3)
Some Problem Situations
142(6)
Tie in Selecting the Entering Variable
142(1)
Tie in Selecting the Leaving Variable (Degeneracy)
143(1)
Multiple Optimal Solutions
144(3)
An Infeasible Problem
147(1)
An Unbounded Problem
148(1)
Summary
148(11)
Duality, Sensitivity Analysis, and Computer Solutions of Linear Programming
Duality in Linear Programming
159(8)
The Primal-Dual Relationship
160(1)
Candex Camera Works, Ltd.
160(2)
Interpretation of the Dual Model
162(3)
The Dual of a Problem with Mixed Constraints
165(1)
Example 5.2
165(2)
Sensitivity Analysis
167(24)
Simple Graphical Sensitivity
167(1)
Example 5.3 Ecologically Correct Fuel Production
168(6)
Simplex-Based Sensitivity Analysis
174(1)
Ecologically Correct Fuel cont
175(16)
Computer Solutions in Linear Programming
191(1)
Summary
192(13)
Integer and Zero-One Programming
Integer Programming
205(10)
The Rounding Approach
206(1)
The Graphical Approach
207(1)
Creative Designer Jeans, Inc.
208(1)
The Branch-and-Bound Method
209(6)
Zero-One Programming
215(7)
A Capital-Budgeting Problem
216(2)
An Inventory Management Problem
218(2)
Project Selection
220(2)
Computer Solution of Integer and Zero-One Programming Problems
222(1)
Real-World Applications of Integer Programming
222(4)
Black Fly Control
223(1)
Research and Development Project Selection
224(1)
Fiber-Optic Network Expansion
225(1)
Summary
226(3)
Goal Programming
Goal Programming
229(3)
Application Areas
231(1)
Model Formulation
232(18)
Century Electronics Inc.
232(7)
Big Sound Music Lac
239(7)
Bleeker College Foundation
246(4)
The Graphical Method of Goal Programming
250(5)
An Electronics Manufacturing Firm
250(5)
The Modified Simplex Method of-Goal Programming
255(10)
Some Goal Programming Complications
265(2)
Computer Solution of Goal Programming Models
267(2)
Applications of Goal Programming
269(2)
Road Project Selection
269(1)
Bank Asset Management
270(1)
Summary
271(16)
The Transportation Problem
The Nature of the Transportation Method
287(4)
Gulf Coast Oil Company Inc.
288(3)
The Balanced Transportation Problem
291(17)
Developing an Initial Solution
292(8)
Determining the Optimal Solution - The Modified Distribution Method
300(8)
The Unbalanced Transportation Problem
308(4)
Demand Exceeds Supply
308(3)
Supply Exceeds Demand
311(1)
Some Unique Situations
312(8)
Degeneracy
312(3)
Prohibited or Impossible Transportation Routes
315(1)
Multiple-Optimal Solutions
316(1)
The Transshipment Problem
317(2)
Gulf Coast Oil - Transshipment
319(1)
The Transportation Problem with Multiple Objectives
320(1)
Computer Solutions for Transportation Problems
321(3)
Real-World Applications of the Transportation Method
324(3)
Electrical Pricing
325(1)
Nuclear Waste Disposal
326(1)
Summary
327(18)
The Assignment Problem
The Nature of the Assignment Problem
345(2)
Martha Weinstein Cosmetics Inc.
346(1)
The Complete Enumeration Method
347(1)
Linear Programming Model for the Assignment Problem
348(1)
The Hungarian Method of Assignment
349(7)
The Opportunity Cost Table
350(2)
Analysis of Optimal Assignment Feasibility
352(1)
The Revised Opportunity Cost Table
353(3)
A Maximization Assignment Problem
356(4)
The Neighborhood Team-Policing Assignment
357(3)
Some Unique Assignment Problems
360(3)
Unequal Rows and Columns
360(1)
Mississippi Barge Transportation Inc.
360(2)
Impossible (or Prohibited) Assignments
362(1)
Multiple Optimal Solutions
363(1)
Multiple Objectives
363(1)
The Branch-and-Bound Approach
363(8)
Computer Solution for Assignment Method Problems
371(1)
Real-World Applications
372(2)
Assigning Medical Residents
373(1)
Summary
374(13)
Network Models
Characteristics of a Network
387(2)
Shortest-Route Problem
389(6)
Peak Season Travel Inc.
390(5)
Minimum Spanning Tree Problem
395(3)
National Local Area Network
396(2)
Maximum Flow Problem
398(6)
Picturesque Caves Tour
399(5)
Computer Solutions of Network Problems
404(3)
Real-World Applications
407(3)
Yellow Freight System Routing Optimization
407(1)
Airline Network Design
408(1)
Telephone Network Planning
409(1)
Summary
410(15)
Nonlinear Programming
Nonlinear Optimization Problems
425(16)
Optimization of a Single Variable Unconstrained Nonlinear Function
425(1)
The Money Pump
425(3)
Optimization of Multivariate Unconstrained Nonlinear Functions
428(4)
Product Expansion
432(2)
Lagrange Multipliers
434(2)
The Chase investment Planning Agency
436(5)
Computer Support to Nonlinear Programming
441(1)
Real-World Applications
441(2)
Gasoline Blending
441(1)
Feed Blending
442(1)
Summary
443(4)
Project Planning with CPM and PERT
Characteristics of the Project-Planning Problem
447(3)
The Gantt Chart
448(2)
History of CPM and PERT
450(1)
Developing Project Networks
450(3)
Transforming a Gantt Chart into a Network
451(2)
Dummy Activities
453(1)
Identifying the Critical Path
453(13)
A Simple Network
454(1)
The Earliest Expected Time (ET)
454(2)
The Latest Allowable Time (LT)
456(2)
The Critical Path
458(2)
Activity Scheduling and Slack
460(3)
Schmidt Construction Inc.
463(3)
CPM Time and Cost Trade-Offs
466(9)
Project Crashing
469(6)
Estimating Activity Times in Pert
475(6)
Fresh Yogurt Inc.
476(5)
Computer Solution of Project-Planning Problems
481(2)
Real-World Applications
483(4)
Social Service Project Management
484(1)
CPM Used to Support Contractor Claim
485(1)
Scheduling Maintenance Projects in a Chinese Copper Mine
485(2)
Summary
487(10)
Decision Theory
Decision-Making with Probability
497(2)
Decision Making Under Risk
499(7)
The Expected Payoff Criterion
502(1)
Friendly Investment Club
502(2)
The Expected Loss Criterion
504(1)
The State fair Concession
504(2)
Simple Inventory Problems Under Risk
506(10)
New England Fish Market
506(2)
Conditional Profits
508(1)
Expected Profits
509(2)
Expected Profit under Certainty
511(2)
Conditional Loss
513(2)
Value of Perfect Information
515(1)
Incremental Analysis
516(10)
Analysis of Salvage Value
520(3)
Analysis of Goodwill Cost
523(2)
Computer Solution of Decision Problems under Risk
525(1)
Decision Making Under Uncertainty
526(12)
Sakura Motors Corporation ISMCJ USA
526(1)
Decision Making with Partial Probabilities
527(3)
The Equal Probabilities (Laplace) Criterion
530(1)
The Maximin (Wald) Criterion
530(1)
The Maximax Criterion
530(1)
The Dominance Criterion
531(1)
The Hurwicz Criterion
532(3)
The Minimax (Regret) Criterion
535(1)
Summary of Decision-Making Criteria
536(1)
Computer Solution of Decision Problems under Uncertainty
537(1)
Subjective Probabilities
538(13)
Bayes' Decision Rule
538(1)
Centennial Precision Works Inc.
539(2)
Computer Solution of Bayes' Decision Rule Problems
541(1)
Utility Analysis
541(2)
Multiple Objectives
543(1)
Decision Trees
544(1)
Mostly Nuts of Georgia, Inc.
545(5)
Computer Solution of Decision Tree Problems
550(1)
Real-World Applications
551(4)
Airline Yield Management
552(1)
Managing Environmental Risk in Electric Utilities
553(1)
Bank Risk Management
554(1)
Summary
555(12)
Game Theory
The Nature and Types of Games
567(1)
The Two-Person, Zero-Sum Game
568(12)
Fleet the Foot
568(1)
Pure Strategy Games
569(1)
Dominate Strategy Games
570(1)
Mixed Strategy Games
571(1)
K's Restaurant
571(2)
Expected Outcome Approach
573(3)
Linear Programming Approach
576(4)
Computer Solution of Games
580(1)
Summary
581(2)
The Analytic Hierarchy Process
Description of AHP
583(5)
Automobile Purchase
583(1)
Hierarchy Development
584(1)
Subjective Pairwise Comparisons
585(3)
Obtaining Relative Values
588(4)
Consistency Measure
589(2)
Synthesis
591(1)
Geometric Mean Solution
592(3)
Premier Parking Inc.
593(2)
Real-World Applications of AHP
595(4)
Air Force Project Evaluation
596(1)
Finnish Electrical Generation Policy
597(2)
Computer Support for AHP
599(1)
Summary
600(6)
Appendix: Calculation of Maximum Eigen Value and Eigen Vector
606(1)
Inventory Models
Characteristics of Inventory Systems
607(2)
Basic Inventory Decisions
609(2)
Holding Costs
610(1)
Ordering Costs
610(1)
Shortage Costs
611(1)
Economic Order Quantity (EOQ) Model
611(14)
EOQ Model Assumptions
611(1)
EOQ Model Symbols
612(1)
EOQ Model Formulation
613(3)
Television Technology Inc.
616(9)
Modifications of the EOQ Model
625(4)
Holding Cost as a Proportion of Value
625(1)
Time Horizon as a Model Variable
626(1)
Reorder Point
627(2)
Extensions of the EOQ Model
629(20)
Noninstantaneous Receipt Model
629(3)
Economic Lot-Size (ELS) Model
632(3)
Synergy Products Inc.
635(3)
Quantity Discount Model
638(2)
Smith Autoparts Company
640(1)
Inventory Model with Planned Shortages
641(5)
American Rubber Products Inc.
646(3)
The Inventory Model Under Uncertainty
649(20)
Inventory Model with Safety Stocks
649(4)
Bold Bodybuilders Inc.
653(3)
Inventory Model with Uncertain Demand and Lead Time
656(3)
Modern Office Equipment Inc.
659(10)
Analytical Inventory Models Versus Simulation
669(1)
Material Requirements Planning and Just-In-Time Systems
669(1)
Computer Solution of Inventory Problems
670(2)
Real-World Applications
672(2)
Classical EOQ Model Applied to Pharmaceuticals
673(1)
Analysis of Distribution Systems
674(1)
Summary
674(12)
Waiting Line (Queuing) Models
The Waiting Line Process
686(7)
Components of a Waiting Line System
688(2)
Basic Structures of Waiting Line Systems
690(2)
Student Union Hairstyling Salon
692(1)
Waiting Line Decision Problems
693(4)
Service Costs
695(1)
Waiting Costs
695(1)
Total System Costs
695(1)
A Port Unloading Problem
696(1)
Assumptions for Waiting Line Models
697(1)
Waiting Line Models
698(8)
The Single Server, Constant Service Time Model (M/D/1):(FCFS/∞/∞)
699(1)
Fast-Food Diner
700(1)
The Single Server, Random Service Time Model (M/M/1):(FCFS/∞/∞)
701(1)
Corner Bookshop
702(1)
The Multiple Servers, Random Service Time Model (M/M/s):(FCFS/∞/∞)
703(1)
County Department of Revenue
703(3)
Other Models
706(1)
Simulation of Waiting Line Systems
707(1)
Computer Solution of Queuing Models
707(1)
Real-World Applications
708(3)
New Haven Fire Fighting
709(1)
New York City Justice System
710(1)
Summary
711(8)
Supplementary Section on Waiting Line Models
Model Parameters: Distributions
719(8)
Arrival Distribution
719(3)
Service Time Distribution
722(3)
Number of Servers
725(1)
Queue Discipline
725(1)
Infinite versus Finite Waiting Line Length
726(1)
Maximum Population in the System
726(1)
Eight Waiting Line Models
727(18)
The Titanic Queue
727(1)
(D/D/1):(FCFS/∞/∞)
728(1)
Operation Thule
729(1)
(M/M/1):(FCFS/∞/∞)
730(2)
(M/GI/1):(FCFS/∞/∞)
732(1)
Operation Thule - Pump X
732(2)
(M/D/1):(FCFS/∞/∞)
734(1)
Operation Thule - Pump Y
734(1)
(M/Ek/1):(FCFS/∞/∞)
735(1)
Operation Thule - Pump Z
735(2)
(M/M/1):(FCFS/∞/∞)
737(1)
The Iceland Connection
737(2)
(M/M/1):(FCFS/∞/m)
739(1)
End of the Open-Sea Season at Thule
739(2)
(M/M/s):(FCFS/∞/∞)
741(1)
Planning for a New Season at Thule
741(4)
Dynamic Programming
The Basic Nature of Dynamic Programming
745(8)
Segmentation and Sequential Decisions
746(1)
The Backward Approach
746(1)
The Washington, D.C. Conference
747(1)
The Basic Features of Dynamic Programming
747(3)
The Complete Enumeration Approach
750(1)
Solution by Dynamic Programming
751(2)
The Structure of Dynamic Programming
753(16)
Downjohn Pharmaceutical Corporation
756(6)
Ace Manufacturing Company
762(7)
Probabilistic Dynamic Programming
769(1)
Computer Solution of Dynamic Programming Problems
769(2)
Real-World Application
771(1)
Desert Storm Airlift Scheduling
771(1)
Summary
772(13)
Simulation
The Nature of Simulation
785(7)
What is Simulation?
787(2)
Why Simulate?
789(2)
Characteristics of Simulation Models
791(1)
The Process of Simulation
792(4)
Simulation of Stochastic Models
796(14)
The Monte Carlo Process
796(4)
The Milwaukee Construction Company
800(10)
Generating Random Numbers
810(8)
Table of Random Numbers
810(1)
Mid-Square Method
811(1)
Mid-Product Method
811(1)
Multiplicative Congruential Method
812(1)
Random Number Transformation
812(1)
Peach Computers Inc.
812(6)
Optimization in Simulation
818(1)
Simulation Languages
819(1)
Applications of Simulation
820(2)
Real-World Applications
822(2)
Warehouse Management
822(1)
Health Insurance Plan Evaluation
823(1)
Blood Drive Organization
823(1)
Summary
824(9)
Forecasting
Forecasting Methods
833(3)
Time Series Methods
836(11)
Elements of Time Series
836(1)
The Moving Average
837(1)
Centennial Corporation
837(4)
Weighted Moving Average
841(1)
Exponential Smoothing
841(2)
Trend Projections
843(3)
Forecast Reliability
846(1)
Regression Forecasting Methods
847(4)
The Executive MBA Program
848(3)
Coefficient of Determination
851(1)
Multiple Regression
852(1)
Qualitative Forecasting Methods
852(2)
Computer Solution of Forecasting Models
854(3)
Real-World Applications
857(5)
Forecasting to Help Improve Customer Service
857(1)
Texas Legislative Budget Ceiling Imposed by Forecast
858(1)
Predicting Product Sales Response to Price
859(2)
Delphi Forecast of Alaska's Future
861(1)
Summary
862(11)
Markov Analysis
Markov Processes and their Properties
873(3)
State Historical
874(2)
Predicting Future States
876(7)
Matrix Approach
878(5)
Steady-State Probabilities
883(3)
Super-Saver Market Inc.
884(2)
Special Cases of Markov Analysis
886(5)
St. Elizabeth s Community Hospital
887(4)
Computer Solution of Markov Problems
891(4)
Real-World Applications of Markov Analysis
895(2)
Markov Chains Used to Analyze Commercial Credit
895(1)
Markov Chain Analysis of Mortgage-Backed Securities
896(1)
Summary
897(11)
Management Science Implementation and Decision Support Systems
Management Science Implementation
908(3)
What is Implementation?
908(1)
Typical Implementation Problems
909(2)
Perspectives on Implementation
911(1)
Computer Support to Business
912(3)
Management Information Systems
912(1)
Decision Support Systems
913(1)
Expert Systems
914(1)
The Relationship of Systems to Levels of Decision Making
915(1)
The Systems Approach
916(2)
Real-World Applications of Decision Support Systems
918(8)
Designing an Integrated Distribution System
919(2)
Airline Spare Part Inventory Management System
921(2)
Police Officer Scheduling
923(3)
Summary
926(5)
Appendix 1 Poisson Probability Values 931(8)
Appendix 2 Values of ex and e-x 939(1)
Appendix 3 Values of P0 for Various Combinations of λ/sμ 940(3)
Appendix 4 Area Under the Standard Normal Curve 943(2)
Appendix 5 Table of Random Numbers 945

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