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An Introduction to Management Science: A Quantitative Approach to Decision
Making 12th Edition by David R. Anderson Latest Update Graded A+
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12TH EDITION
Complete Test Bank, All Chapter Are Included
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,Table of Contents
.......................................................................................................................................................................................... 1
Chapter 1—Introduction.................................................................................................................................................. 3
chapter 2—an introduction to linear programming ................................................................................................... 20
chapter 3—linear programming: sensitivity analysis and interpretation of solution ............................................ 42
chapter 4—linear programming applications in marketing, finance and operations management ...................... 77
chapter 5—advanced linear programming applications............................................................................................ 98
chapter 6—distribution and network problems........................................................................................................ 114
chapter 7—integer linear programming .................................................................................................................... 140
chapter 8—nonlinear optimization models .............................................................................................................. 159
chapter 9—project scheduling: pert/cpm .................................................................................................................. 180
chapter 10—inventory models................................................................................................................................... 200
chapter 11—waiting line models ............................................................................................................................... 214
chapter 12—simulation............................................................................................................................................... 231
chapter 13—decision analysis .................................................................................................................................... 252
chapter 14—multicriteria decisions .......................................................................................................................... 268
chapter 15—forecasting .............................................................................................................................................. 285
chapter 16—markov processes .................................................................................................................................. 309
chapter 17—linear programming: simplex method ................................................................................................ 322
chapter 18—simplex-based sensitivity analysis and duality ..................................................................................... 341
chapter 19—solution procedures for transportation and assignment problems ................................................... 358
chapter 20—minimal spanning tree .......................................................................................................................... 376
chapter 21—dynamic programming ........................................................................................................................... 382
,Chapter 1—Introduction
Multiple Choice
1. The Field Of Management Science
a. Concentrates On The Use Of Quantitative Methods To Assist In Decision Making.
b. Approaches Decision Making Rationally, With Techniques Based On The Scientific Method.
c. Is Another Name For Decision Science And For Operations Research.
d. Each Of The Above Is True.
Ans: D Pts: 1 Top: Introduction
2. Identification And Definition Of A Problem
a. Cannot Be Done Until Alternatives Are Proposed.
b. Is The First Step Of Decision Making.
c. Is The Final Step Of Problem Solving.
d. Requires Consideration Of Multiple Criteria.
Ans: B Pts: 1 Top: Problem Solving And Decision Making
3. Decision Alternatives
a. Should Be Identified Before Decision Criteria Are Established.
b. Are Limited To Quantitative Solutions
c. Are Evaluated As A Part Of The Problem Definition Stage.
d. Are Best Generated By Brain-Storming.
Ans: A Pts: 1 Top: Problem Solving And Decision Making
4. Decision Criteria
a. Are The Choices Faced By The Decision Maker.
b. Are The Problems Faced By The Decision Maker.
c. Are The Ways To Evaluate The Choices Faced By The Decision Maker.
d. Must Be Unique For A Problem.
Ans: C Pts: 1 Top: Problem Solving And Decision Making
5. In A Multicriteria Decision Problem
a. It Is Impossible To Select A Single Decision Alternative.
b. The Decision Maker Must Evaluate Each Alternative With Respect To Each Criterion.
c. Successive Decisions Must Be Made Over Time.
d. Each Of The Above Is True.
Ans: B Pts: 1 Top: Problem Solving And Decision Making
6. The Quantitative Analysis Approach Requires
a. The Manager's Prior Experience With A Similar Problem.
b. A Relatively Uncomplicated Problem.
c. Mathematical Expressions For The Relationships.
d. Each Of The Above Is True.
, Ans: C Pts: 1 Top: Quantitative Analysis And Decision Making
7. A Physical Model That Does Not Have The Same Physical Appearance As The Object Being Modeled Is
a. An Analog Model.
An Introduction to Management Science: A Quantitative Approach to Decision
Making 12th Edition by David R. Anderson Latest Update Graded A+
PRINTEND PDF|ORIGINAL DIRECT FROM PUBLISHER|100% VERIFIED
ANSWERS|DOWLOAD IMMEDIATELY AFTER THE ORDER
12TH EDITION
Complete Test Bank, All Chapter Are Included
For More Documents Search (Testbankproferssor.Stuvia)
,Table of Contents
.......................................................................................................................................................................................... 1
Chapter 1—Introduction.................................................................................................................................................. 3
chapter 2—an introduction to linear programming ................................................................................................... 20
chapter 3—linear programming: sensitivity analysis and interpretation of solution ............................................ 42
chapter 4—linear programming applications in marketing, finance and operations management ...................... 77
chapter 5—advanced linear programming applications............................................................................................ 98
chapter 6—distribution and network problems........................................................................................................ 114
chapter 7—integer linear programming .................................................................................................................... 140
chapter 8—nonlinear optimization models .............................................................................................................. 159
chapter 9—project scheduling: pert/cpm .................................................................................................................. 180
chapter 10—inventory models................................................................................................................................... 200
chapter 11—waiting line models ............................................................................................................................... 214
chapter 12—simulation............................................................................................................................................... 231
chapter 13—decision analysis .................................................................................................................................... 252
chapter 14—multicriteria decisions .......................................................................................................................... 268
chapter 15—forecasting .............................................................................................................................................. 285
chapter 16—markov processes .................................................................................................................................. 309
chapter 17—linear programming: simplex method ................................................................................................ 322
chapter 18—simplex-based sensitivity analysis and duality ..................................................................................... 341
chapter 19—solution procedures for transportation and assignment problems ................................................... 358
chapter 20—minimal spanning tree .......................................................................................................................... 376
chapter 21—dynamic programming ........................................................................................................................... 382
,Chapter 1—Introduction
Multiple Choice
1. The Field Of Management Science
a. Concentrates On The Use Of Quantitative Methods To Assist In Decision Making.
b. Approaches Decision Making Rationally, With Techniques Based On The Scientific Method.
c. Is Another Name For Decision Science And For Operations Research.
d. Each Of The Above Is True.
Ans: D Pts: 1 Top: Introduction
2. Identification And Definition Of A Problem
a. Cannot Be Done Until Alternatives Are Proposed.
b. Is The First Step Of Decision Making.
c. Is The Final Step Of Problem Solving.
d. Requires Consideration Of Multiple Criteria.
Ans: B Pts: 1 Top: Problem Solving And Decision Making
3. Decision Alternatives
a. Should Be Identified Before Decision Criteria Are Established.
b. Are Limited To Quantitative Solutions
c. Are Evaluated As A Part Of The Problem Definition Stage.
d. Are Best Generated By Brain-Storming.
Ans: A Pts: 1 Top: Problem Solving And Decision Making
4. Decision Criteria
a. Are The Choices Faced By The Decision Maker.
b. Are The Problems Faced By The Decision Maker.
c. Are The Ways To Evaluate The Choices Faced By The Decision Maker.
d. Must Be Unique For A Problem.
Ans: C Pts: 1 Top: Problem Solving And Decision Making
5. In A Multicriteria Decision Problem
a. It Is Impossible To Select A Single Decision Alternative.
b. The Decision Maker Must Evaluate Each Alternative With Respect To Each Criterion.
c. Successive Decisions Must Be Made Over Time.
d. Each Of The Above Is True.
Ans: B Pts: 1 Top: Problem Solving And Decision Making
6. The Quantitative Analysis Approach Requires
a. The Manager's Prior Experience With A Similar Problem.
b. A Relatively Uncomplicated Problem.
c. Mathematical Expressions For The Relationships.
d. Each Of The Above Is True.
, Ans: C Pts: 1 Top: Quantitative Analysis And Decision Making
7. A Physical Model That Does Not Have The Same Physical Appearance As The Object Being Modeled Is
a. An Analog Model.
