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Session 1a

Session 1a. Overview. Web Site Tour  Course Introduction. 2 Modules. Module I: Optimization Module II: Spreadsheet Simulation. Formulation. Real world System. Decision Model. What is Decision Modeling?. Decision Modeling Process. Deduction. Implementation. Interpretation.

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Session 1a

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  1. Session 1a

  2. Overview • Web Site Tour  • Course Introduction Decision Models -- Prof. Juran

  3. 2 Modules • Module I: Optimization • Module II: Spreadsheet Simulation Decision Models -- Prof. Juran

  4. Formulation Real world System Decision Model What is Decision Modeling? Decision Modeling Process Deduction Implementation Interpretation Real World Conclusions Model Conclusions Decision Models -- Prof. Juran

  5. Seven-step Process • Definition • Data Collection • Formulation • Model Verification • Selection of an Alternative • Presentation of Results • Implementation Decision Models -- Prof. Juran

  6. Revised Process for This Course 0. Conclusions and Recommendations 1. Managerial Definition 2. Formulation 3. Solution Methodology 4. Discussion? Appendices? Decision Models -- Prof. Juran

  7. Software • Microsoft Excel • Data Table • Goal Seek • Solver • Premium Solver, SolverTable • Analysis Toolpack • Charts and Graphs Decision Models -- Prof. Juran

  8. Software • The Decision Tools Suite • @Risk • PrecisionTree • TopRank • BestFit • RiskView • StatPro Decision Models -- Prof. Juran

  9. Software • Other Software • Crystal Ball • Extend • Sigma Decision Models -- Prof. Juran

  10. Descriptive Model • Approximates how a real system works (or would work) given certain assumptions • Does not give us the “right answer” • Focus for Module 2 Decision Models -- Prof. Juran

  11. Prescriptive Model • Identifies the “right answer” • Focus of Module 1 Decision Models -- Prof. Juran

  12. What is Optimization? • A model with a “best” solution • Strict mathematical definition of “optimal” • Usually unrealistic assumptions • Useful for managerial intuition  Decision Models -- Prof. Juran

  13. Elements of an Optimization Model • Formulation • Decision Variables • Objective • Constraints • Solution • Algorithm or Heuristic • Interpretation Decision Models -- Prof. Juran

  14. Toomer Sporting Goods Decision Models -- Prof. Juran

  15. Managerial Problem Definition Ishani Mukherjee must decide how many to produce of two products. Decision Models -- Prof. Juran

  16. Managerial Problem Definition • 2-piece Yellow Jacket • 4-piece Sachin Special Decision Models -- Prof. Juran

  17. Formulation • Define the choices to be made by the manager (called decision variables). • Find a mathematical expression for the manager's goal (called the objective function). • Find expressions for the things that restrict the manager's range of choices (called constraints). Decision Models -- Prof. Juran

  18. Decision Variables Decision Models -- Prof. Juran

  19. Decision Models -- Prof. Juran

  20. Decision Models -- Prof. Juran

  21. Objective Function A mathematical expression of the manager’s goal in terms of the decision variables. Decision Models -- Prof. Juran

  22. What is the objective? Maximize or minimize? Decision Models -- Prof. Juran

  23. Decision Models -- Prof. Juran

  24. Decision Models -- Prof. Juran

  25. Decision Models -- Prof. Juran

  26. Decision Models -- Prof. Juran

  27. Constraints • Find expressions for the things that restrict the manager's range of choices, in terms of the decision variables. Decision Models -- Prof. Juran

  28. Leather Constraint • Each Yellow Jacket uses 4 ounces of leather and each Sachin Special uses 5 ounces. • There are 6,000 ounces available. Decision Models -- Prof. Juran

  29. Leather Constraint Decision Models -- Prof. Juran

  30. Decision Models -- Prof. Juran

  31. Nylon Constraint • Each Yellow Jacket uses 3 meters of nylon and each Sachin Special uses 6 meters. • There are 5,400 meters available. Decision Models -- Prof. Juran

  32. Nylon Constraint Decision Models -- Prof. Juran

  33. Decision Models -- Prof. Juran

  34. Cork Constraint • Each Yellow Jacket uses 2 ounces of cork and each Sachin Special uses 4 ounces. • There are 4,000 ounces available. Decision Models -- Prof. Juran

  35. Cork Constraint Decision Models -- Prof. Juran

  36. Decision Models -- Prof. Juran

  37. Labor Constraint • Each Yellow Jacket uses 2 minutes of general labor and each Sachin Special takes 2.5 minutes. • There are 3,500 minutes available. Decision Models -- Prof. Juran

  38. Labor Constraint Decision Models -- Prof. Juran

  39. Decision Models -- Prof. Juran

  40. Stitching Constraint • Each Yellow Jacket takes 1 minute of stitching time and each Sachin Special takes 1.6 minutes. • There are 2,000 minutes available. Decision Models -- Prof. Juran

  41. Stitching Constraint Decision Models -- Prof. Juran

  42. Decision Models -- Prof. Juran

  43. Nonnegativity Constraints • Each Yellow Jacket takes 1 minute of leather and each Sachin Special takes 1.6 minutes. • There are 2,000 minutes available. Decision Models -- Prof. Juran

  44. Nonegativity Constraints Decision Models -- Prof. Juran

  45. Decision Models -- Prof. Juran

  46. Decision Models -- Prof. Juran

  47. Solution Methodology Use algebra to find the best solution. (Simplex algorithm) Decision Models -- Prof. Juran

  48. Decision Models -- Prof. Juran

  49. Decision Models -- Prof. Juran

  50. Decision Models -- Prof. Juran

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