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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 Solution Outdated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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