Test Bank for Managerial Decision Modeling with Spreadsheets 3rd Edition by Balakrishnan

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Product details:

• ISBN-10 ‏ : ‎ 0136115837
• ISBN-13 ‏ : ‎ 978-0136115830
• Author: Nagraj Balakrishnan; Barry Render; Jr. Ralph M. Stair

Balakrishnan offers the perfect balance of the decision modeling process and the use of spreadsheets to set up and solve decision models. The third edition has been updated to reflect the latest version of Excel.

Table of contents:

1. Chapter 1 Introduction to Managerial Decision Modeling
2. Learning Objectives
3. Chapter Outline
4. 1.1 What is Decision Modeling?
5. 1.2 Types of Decision Models
6. Deterministic Models
7. Probabilistic Models
8. Quantitative versus Qualitative Data
9. Using Spreadsheets in Decision Modeling
10. 1.3 Steps Involved in Decision Modeling
11. Step 1: Formulation
12. Defining the Problem
13. Developing a Model
14. Acquiring Input Data
15. Step 2: Solution
16. Developing a Solution
17. Testing the Solution
18. Step 3: Interpretation and Sensitivity Analysis
19. Analyzing the Results and Sensitivity Analysis
20. Implementing the Results
21. 1.4 Spreadsheet Example of a Decision Model: Tax Computation
22. Excel Notes
23. 1.5 Spreadsheet Example of a Decision Model: Break-Even Analysis
24. Using Goal Seek to Find the Break-Even Point
25. 1.6 Possible Problems in Developing Decision Models
26. Defining the Problem
27. Conflicting Viewpoints
28. Impact on Other Departments
29. Beginning Assumptions
30. Solution Outdated
31. Developing a Model
32. Fitting the TEXTBOOK MODELS
33. Understanding a Model
34. Acquiring Input Data
35. Using Accounting Data
36. Validity of Data
37. Developing a Solution
38. Hard-to-Understand Mathematics
39. The Limitation of Only One Answer
40. Testing the Solution
41. Analyzing the Results
42. 1.7 Implementation—Not Just the Final Step
43. Summary
44. Glossary
45. Discussion Questions and Problems
46. Discussion Questions
47. Problems
48. Chapter 2 Linear Programming Models: Graphical and Computer Methods
49. Learning Objectives
50. Chapter Outline
51. 2.1 Introduction
52. 2.2 Developing a Linear Programming Model
53. Formulation
54. Solution
55. Interpretation and Sensitivity Analysis
56. Properties of a Linear Programming Model
57. Basic Assumptions of a Linear Programming Model
58. 2.3 Formulating a Linear Programming Problem
59. Linear Programming Example: Flair Furniture Company
60. Decision Variables
61. The Objective Function
62. Constraints
63. Nonnegativity Constraints and Integer Values
64. Guidelines to Developing a Correct LP Model
65. 2.4 Graphical Solution of a Linear Programming Problem with Two Variables
66. Graphical Representation of Constraints
67. Carpentry Time Constraint
68. Painting Time Constraint
69. Production Constraint for Chairs
70. Production Constraint for Tables
71. Feasible Region
72. Identifying an Optimal Solution by Using Level Lines
73. Drawing Level Lines
74. Corner Point Property
75. Calculating the Solution at an Optimal Corner Point
76. Identifying an Optimal Solution by Using All Corner Points
77. Comments on Flair Furniture’s Optimal Solution
78. Extension to Flair Furniture’s LP Model
79. 2.5 A Minimization Linear Programming Problem
80. Holiday Meal Turkey Ranch
81. Graphical Solution of the Holiday Meal Turkey Ranch Problem
82. 2.6 Special Situations in Solving Linear Programming Problems
83. Redundant Constraints
84. Infeasibility
85. Alternate Optimal Solutions
86. Unbounded Solution
87. 2.7 Setting Up and Solving Linear Programming Problems Using Excel’s Solver
88. Using Solver to Solve the Flair Furniture Problem
89. Excel Note
90. Changing Variable Cells
91. Excel Notes
92. The Objective Cell
93. Excel Note
94. Constraints
95. Creating Cells for Constraint LHS Values
96. Excel Note
97. Creating Cells for Constraint RHS Values
98. Constraint Type
99. Nonnegativity Constraints
100. Entering Information in Solver
101. Specifying the Objective Cell
102. Specifying the Changing Variable Cells
103. Specifying the Constraints
104. Specifying the Nonnegativity Constraints
105. Solving Method
106. Solver Options
107. Solving the Model
108. Answer Report
109. Using Solver to Solve Flair Furniture Company’s Modified Problem
110. Using Solver to Solve the Holiday Meal Turkey Ranch Problem
111. 2.8 Algorithmic Solution Procedures for Linear Programming Problems
112. Simplex Method
113. Karmarkar’s Algorithm
114. Summary
115. Glossary
116. Solved Problems
117. Solved Problem 2-1
118. Solution
119. Solved Problem 2-2
120. Solution
121. Discussion Questions and Problems
122. Discussion Questions
123. Problems
124. Case Study Mexicana Wire Winding, Inc.
125. Discussion Questions
126. Case Study
127. Golding Landscaping and Plants, Inc.
128. Discussion Questions
129. Internet Case Studies
130. Chapter 3 Linear Programming Modeling Applications with Computer Analyses in Excel
131. Learning Objectives
132. Chapter Outline
133. 3.1 Introduction
134. Excel Notes
135. 3.2 Manufacturing Applications
136. Product Mix Problem
137. Formulating the Problem
138. Solving the Problem
139. Interpreting the Results
140. Make–Buy Decision Problem
141. Formulating the Problem
142. Solving the Problem
143. Interpreting the Results
144. 3.3 Marketing Applications
145. Media Selection Problem
146. Formulating and Solving the Problem
147. Interpreting the Results
148. Marketing Research Problem
149. Formulating the Problem
150. Solving the Problem
151. Interpreting the Results
152. 3.4 Finance Applications
153. Portfolio Selection Problem
154. Formulating the Problem

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