Test Bank For An Introduction to Management Science: Quantitative Approach 15th Edition by David R. Anderson

Description

1. Brief Contents
2. Contents
3. Preface
4. About the Authors
5. Chapter 1: Introduction
6. 1.1 Problem Solving and Decision Making
7. 1.2 Quantitative Analysis and Decision Making
8. 1.3 Quantitative Analysis
9. 1.4 Models of Cost, Revenue, and Profit
10. 1.5 Management Science Techniques
11. Summary
12. Glossary
13. Problems
14. Case Problem Scheduling a Golf League
15. Appendix 1.1 Using Excel for Breakeven Analysis
16. Chapter 2: An Introduction to Linear Programming
17. 2.1 A Simple Maximization Problem
18. 2.2 Graphical Solution Procedure
19. 2.3 Extreme Points and the Optimal Solution
20. 2.4 Computer Solution of the Par, Inc., Problem
21. 2.5 A Simple Minimization Problem
22. 2.6 Special Cases
23. 2.7 General Linear Programming Notation
24. Summary
25. Glossary
26. Problems
27. Case Problem 1 Workload Balancing
28. Case Problem 2 Production Strategy
29. Case Problem 3 Hart Venture Capital
30. Appendix 2.1 Solving Linear Programs with Excel Solver
31. Appendix 2.2 Solving Linear Programs with LINGO
32. Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution
33. 3.1 Introduction to Sensitivity Analysis
34. 3.2 Graphical Sensitivity Analysis
35. 3.3 Sensitivity Analysis: Computer Solution
36. 3.4 Limitations of Classical Sensitivity Analysis
37. 3.5 The Electronic Communications Problem
38. Summary
39. Glossary
40. Problems
41. Case Problem 1 Product Mix
42. Case Problem 2 Investment Strategy
43. Case Problem 3 Truck Leasing Strategy
44. Appendix 3.1 Sensitivity Analysis with Excel Solver
45. Appendix 3.2 Sensitivity Analysis with LINGO
46. Chapter 4: Linear Programming Applications in Marketing, Finance, and Operations Management
47. 4.1 Marketing Applications
48. 4.2 Financial Applications
49. 4.3 Operations Management Applications
50. Summary
51. Problems
52. Case Problem 1 Planning an Advertising Campaign
53. Case Problem 2 Schneider’s Sweet Shop
54. Case Problem 3 Textile Mill Scheduling
55. Case Problem 4 Workforce Scheduling
56. Case Problem 5 Duke Energy Coal Allocation
57. Appendix 4.1 Excel Solution of Hewlitt Corporation Financial Planning Problem
58. Chapter 5: Advanced Linear Programming Applications
59. 5.1 Data Envelopment Analysis
60. 5.2 Revenue Management
61. 5.3 Portfolio Models and Asset Allocation
62. 5.4 Game Theory
63. Summary
64. Glossary
65. Problems
66. Chapter 6: Distribution and Network Models
67. 6.1 Supply Chain Models
68. 6.2 Assignment Problem
69. 6.3 Shortest-Route Problem
70. 6.4 Maximal Flow Problem
71. 6.5 A Production and Inventory Application
72. Summary
73. Glossary
74. Problems
75. Case Problem 1 Solutions Plus
76. Case Problem 2 Supply Chain Design
77. Appendix 6.1 Excel Solution of Transportation, Transshipment, and Assignment Problems
78. Chapter 7: Integer Linear Programming
79. 7.1 Types of Integer Linear Programming Models
80. 7.2 Graphical and Computer Solutions for an All-Integer Linear Program
81. 7.3 Applications Involving 0-1 Variables
82. 7.4 Modeling Flexibility Provided by 0-1 Integer Variables
83. Summary
84. Glossary
85. Problems
86. Case Problem 1 Textbook Publishing
87. Case Problem 2 Yeager National Bank
88. Case Problem 3 Production Scheduling with Changeover Costs
89. Case Problem 4 Applecore Children’s Clothing
90. Appendix 7.1 Excel Solution of Integer Linear Programs
91. Appendix 7.2 LINGO Solution of Integer Linear Programs
92. Chapter 8: Nonlinear Optimization Models
93. 8.1 A Production Application-Par, Inc., Revisited
94. 8.2 Constructing an Index Fund
95. 8.3 Markowitz Portfolio Model
96. 8.4 Blending: The Pooling Problem
97. 8.5 Forecasting Adoption of a New Product
98. Summary
99. Glossary
100. Problems
101. Case Problem 1 Portfolio Optimization with Transaction Costs
102. Case Problem 2 Cafe Compliance in the Auto Industry
103. Appendix 8.1 Solving Nonlinear Problems with Excel Solver
104. Appendix 8.2 Solving Nonlinear Problems with LINGO
105. Chapter 9: Project Scheduling: PERT/CPM
106. 9.1 Project Scheduling Based on Expected Activity Times
107. 9.2 Project Scheduling Considering Uncertain Activity Times
108. 9.3 Considering Time-Cost Trade-Offs
109. Summary
110. Glossary
111. Problems
112. Case Problem 1 R. C. Coleman
113. Appendix 9.1 Finding Cumulative Probabilities for Normally Distributed Random Variables
114. Chapter 10: Inventory Models
115. 10.1 Economic Order Quantity (EOQ) Model
116. 10.2 Economic Production Lot Size Model
117. 10.3 Inventory Model with Planned Shortages
118. 10.4 Quantity Discounts for the EOQ Model
119. 10.5 Single-Period Inventory Model with Probabilistic Demand
120. 10.6 Order-Quantity, Reorder Point Model with Probabilistic Demand
121. 10.7 Periodic Review Model with Probabilistic Demand
122. Summary
123. Glossary
124. Problems
125. Case Problem 1 Wagner Fabricating Company
126. Case Problem 2 River City Fire Department
127. Appendix 10.1 Development of the Optimal Order Quantity (Q) Formula for the EOQ Model
128. Appendix 10.2 Development of the Optimal Lot Size (Q*) Formula for the Production Lot Size Model
129. Chapter 11: Waiting Line Models
130. 11.1 Structure of a Waiting Line System
131. 11.2 Single-Server Waiting Line Model with Poisson Arrivals and Exponential Service Times
132. 11.3 Multiple-Server Waiting Line Model with Poisson Arrivals and Exponential Service Times
133. 11.4 Some General Relationships for Waiting Line Models
134. 11.5 Economic Analysis of Waiting Lines
135. 11.6 Other Waiting Line Models
136. 11.7 Single-Server Waiting Line Model with Poisson Arrivals and Arbitrary Service Times
137. 11.8 Multiple-Server Model with Poisson Arrivals, Arbitrary Service Times, and No Waiting Line
138. 11.9 Waiting Line Models with Finite Calling Populations
139. Summary
140. Glossary
141. Problems
142. Case Problem 1 Regional Airlines
143. Case Problem 2 Office Equipment, Inc.
144. Chapter 12: Simulation
145. 12.1 What-If Analysis
146. 12.2 Simulation of Sanotronics Problem
147. 12.3 Inventory Simulation
148. 12.4 Waiting Line Simulation
149. 12.5 Simulation Considerations
150. Summary
151. Glossary
152. Problems
153. Case Problem 1 Four Corners
154. Case Problem 2 Harbor Dunes Golf Course
155. Case Problem 3 County Beverage Drive-Thru
156. Appendix 12.1 Probability Distributions for Random Variables
157. Appendix 12.2 Simulation with Analytic Solver
158. Chapter 13: Decision Analysis
159. 13.1 Problem Formulation
160. 13.2 Decision Making without Probabilities
161. 13.3 Decision Making with Probabilities
162. 13.4 Risk Analysis and Sensitivity Analysis
163. 13.5 Decision Analysis with Sample Information
164. 13.6 Computing Branch Probabilities with Bayes’ Theorem
165. 13.7 Utility Theory
166. Summary
167. Glossary
168. Problems
169. Case Problem 1 Property Purchase Strategy
170. Case Problem 2 Lawsuit Defense Strategy
171. Case Problem 3 Rob’s Market
172. Case Problem 4 College Softball Recruiting
173. Appendix 13.1 Decision Trees with Analytic Solver
174. Chapter 14: Multicriteria Decisions
175. 14.1 Goal Programming: Formulation and Graphical Solution
176. 14.2 Goal Programming: Solving More Complex Problems
177. 14.3 Scoring Models
178. 14.4 Analytic Hierarchy Process
179. 14.5 Establishing Priorities Using AHP
180. 14.6 Using AHP to Develop an Overall Priority Ranking
181. Summary
182. Glossary
183. Problems
184. Case Problem 1 EZ Trailers, Inc.
185. Appendix 14.1 Scoring Models with Excel
186. Chapter 15: Time Series Analysis and Forecasting
187. 15.1 Time Series Patterns
188. 15.2 Forecast Accuracy
189. 15.3 Moving Averages and Exponential Smoothing
190. 15.4 Linear Trend Projection
191. 15.5 Seasonality
192. Summary
193. Glossary
194. Problems
195. Case Problem 1 Forecasting Food and Beverage Sales
196. Case Problem 2 Forecasting Lost Sales
197. Appendix 15.1 Forecasting with Excel Data Analysis Tools
198. Appendix 15.2 Using the Excel Forecast Sheet
199. Appendices
200. Appendix A: Building Spreadsheet Models
201. Appendix B: Areas for the Standard Normal Distribution
202. Appendix C: Values of e-lambda
203. Appendix D: References and Bibliography
204. Appendix E: Self-Test Solutions and Answers to Even-Numbered Exercises (Online)
205. Index