| mba531 |
Homework
Assignment #1 Quantitative
Analysis
Introduction
to Management Science, 7th ed., Taylor, Bernard
(Prentice-Hall 2002) |
| MC506 Quantitative Methods for Managers | ||
Learning Goals
Upon the successful completion of this course, you will be able to: 1.
Compare and contrast the quantitative and qualitative
approaches to management decision making; 2.
Solve linear programming problems to identify optimal
solutions; 3.
Analyze quantitative case problems and prepare managerial
recommendations; 4.
Develop network representations; 5.
Develop activity schedules for project networks; 6.
Synthesize data as part of problem sets; 7.
Prepare recommendations for simulations; 8.
Evaluate how decision analysis is used to identify the
best decision alternative; 9. Develop forecasts using both quantitative and qualitative methods; 10.
Solve linear programming problems with the use of a computer
software program. 1. Quantitative analysis and decision making; |
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2. Linear programming problems for maximization and minimization problems; 3. Models of cost, revenue and profit; 4. Breakeven analysis; 5. Graph linear equations; 6. Interpret computer output and solutions; 7. Sensitivity analysis; 8. Linear programming in the areas of marketing, media, finance, production, workforce assignment and performance; 9. Network models: Transportation, Assignment, Transshipment, Production and Inventory; 10. Project scheduling with PERT/CPM; 11. Inventory models: Economic Order Quantity (EOQ), Economic Production Lot-Size, Single-Period, Quantity Discounts for the EOQ, Order-Quantity, Reorder-Point, Periodic-Review, Just-in-Time; 12. Simulations; 13. Decision analysis in the face of uncertainty or risk; 14. Smoothing methods, trend projection, trend and seasonal components, and regression analysis in forecasting; 15.
Qualitative approaches to forecasting:
Delphi method, Expert judgement, Scenario Writing, and Intuitive
approaches. Homework
Assignments and Proficiency Audits You are required to submit three homework assignments and three proficiency audits which consist of the case problems located in the book as listed below. See the course schedule for due dates. The homework assignments and proficiency audits will require the use of the computer software or other appropriate software approved by the instructor. For each case problem, you are required to develop a managerial report which consists of an appropriate combination of several of the following elements (as specified in the text): graphical representation of data; establishment of a decision tree; development of a model; development of a computer program; evaluation of alternative systems; synthesis of data; summary of findings; and the preparation of recommendations. Homework
Assignment #1 Production Strategy, Chapter 2, pages 80-82. Homework
Assignment #2 Environmental Protection, Chapter 4, pages 206-208. Homework
Assignment #3 Warehouse Expansion, Chapter 10, pages 475-476. Proficiency
Audit #1 A Make-or-Buy Analysis, Chapter 11, pages532-533. Proficiency
Audit #2 Property Purchase Strategy, Chapter 14, pages
688-689. Proficiency
Audit #3 Forecasting Lost Sales, Chapter 16, pages 788-789. Grading
Criteria for Homework and Proficiency Audits
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| INTRO
TO MANAGEMENT SCIENCE Author ANDERSON- 9TH Edition |
IINTRO
TO MANAGEMENT SCIENCE (SOLUTIONS
MANUAL) - Author ANDERSON-
9TH Edition |
MANAGEMENT SCIENTIST: VERS 5.0 (W/CD-ROM) (P) - Author ANDERSON | |||||||||||||||
| Calculators | Online Statistics Intro - source | Operations Center | |||||||||||||||
| Week 1 Chapter 1 Class sites: Rioux - parsa |
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| Week 2 Chapter 2 |
2. Linear Programming: Basic Concepts
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| Week 3 Chapter 3 |
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| Week 4 Chapter 4 |
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| Week 5 chapter 7 Week 6 Chapter 10 |
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| Week 7 Chapter 11 |
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| Week 9 Chapter14
Week 10
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Decision
Analysis Due: Proficiency Audit #2 (Property Purchase Strategy, pg 688-689) DUE: Discussion question/topic posting & responses Practice Problems: 1, 5, 14, 25 (Ch 16, pg 778-84) Due:
1. Proficiency Audit #3 (Forecasting Lost Sales, DUE: 2. Discussion question/topic posting & responses |
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| Week 7 |
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| Week 8 |
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