Solution Manual for Practical Management Science, 5th Edition

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Table Of Contents:

1. Ch 1: Introduction to Modeling
2. 1.1 Introduction
3. 1.2 A Capital Budgeting Example
4. 1.3 Modeling versus Models
5. 1.4 A Seven-Step Modeling Process
6. 1.5 A Great Source for Management Science Applications: Interfaces
7. 1.6 Why Study Management Science?
8. 1.7 Software Included with This Book
9. 1.8 Conclusion
10. Ch 2: Introduction to Spreadsheet Modeling
11. 2.1 Introduction
12. 2.2 Basic Spreadsheet Modeling: Concepts and Best Practices
13. 2.3 Cost Projections
14. 2.4 Breakeven Analysis
15. 2.5 Ordering with Quantity Discounts and Demand Uncertainty
16. 2.6 Estimating the Relationship between Price and Demand
17. 2.7 Decisions Involving the Time Value of Money
18. 2.8 Conclusion
19. Appendix Tips for Editing and Documenting Spreadsheets
20. Case 2.1: Project Selection at Ewing Natural Gas
21. Case 2.2: New Product Introduction at eTech
22. Ch 3: Introduction to Optimization Modeling
23. 3.1 Introduction
24. 3.2 Introduction to Optimization
25. 3.3 A Two-Variable Product Mix Model
26. 3.4 Sensitivity Analysis
27. 3.5 Properties of Linear Models
28. 3.6 Infeasibility and Unboundedness
29. 3.7 A Larger Product Mix Model
30. 3.8 A Multiperiod Production Model
31. 3.9 A Comparison of Algebraic and Spreadsheet Models
32. 3.10 A Decision Support System
33. 3.11 Conclusion
34. Appendix Information on Solvers
35. Case 3.1: Shelby Shelving
36. Case 3.2: Sonoma Valley Wines
37. Ch 4: Linear Programming Models
38. 4.1 Introduction
39. 4.2 Advertising Models
40. 4.3 Employee Scheduling Models
41. 4.4 Aggregate Planning Models
42. 4.5 Blending Models
43. 4.6 Production Process Models
44. 4.7 Financial Models
45. 4.8 Data Envelopment Analysis (DEA)
46. 4.9 Conclusion
47. Case 4.1: Blending Aviation Gasoline at Jansen Gas
48. Case 4.2: Delinquent Accounts at GE Capital
49. Case 4.3: Foreign Currency Trading
50. Ch 5: Network Models
51. 5.1 Introduction
52. 5.2 Transportation Models
53. 5.3 Assignment Models
54. 5.4 Other Logistics Models
55. 5.5 Shortest Path Models
56. 5.6 Network Models in the Airline Industry
57. 5.7 Conclusion
58. Case 5.1: International Textile Company, Ltd.
59. Case 5.2: Optimized Motor Carrier Selection at Westvaco
60. Ch 6: Optimization Models with Integer Variables
61. 6.1 Introduction
62. 6.2 Overview of Optimization with Integer Variables
63. 6.3 Capital Budgeting Models
64. 6.4 Fixed-Cost Models
65. 6.5 Set-Covering and Location-Assignment Models
66. 6.6 Cutting Stock Models
67. 6.7 Conclusion
68. Case 6.1: Giant Motor Company
69. Case 6.2: Selecting Telecommunication Carriers to Obtain Volume Discounts
70. Case 6.3: Project Selection at Ewing Natural Gas
71. Ch 7: Nonlinear Optimization Models
72. 7.1 Introduction
73. 7.2 Basic Ideas of Nonlinear Optimization
74. 7.3 Pricing Models
75. 7.4 Advertising Response and Selection Models
76. 7.5 Facility Location Models
77. 7.6 Models for Rating Sports Teams
78. 7.7 Portfolio Optimization Models
79. 7.8 Estimating the Beta of a Stock
80. 7.9 Conclusion
81. Case 7.1: GMS Stock Hedging
82. Ch 8: Evolutionary Solver: An Alternative Optimization Procedure
83. 8.1 Introduction
84. 8.2 Introduction to Genetic Algorithms
85. 8.3 Introduction to Evolutionary Solver
86. 8.4 Nonlinear Pricing Models
87. 8.5 Combinatorial Models
88. 8.6 Fitting an S-Shaped Curve
89. 8.7 Portfolio Optimization
90. 8.8 Cluster Analysis
91. 8.9 Discriminant Analysis
92. 8.10 The Traveling Salesperson Problem
93. 8.11 Conclusion

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