Chat with AIExam 12: Computer simulation: Basic Concepts
Exam 1: Introduction24 Questions
Exam 2: Linear programming: Basic Concepts84 Questions
Exam 3: Linear programming: Formulation and applications57 Questions
Exam 4: Theart of modeling with spread sheets31 Questions
Exam 5: What-If Analysis for linear programming57 Questions
Exam 6: Network optimization problems48 Questions
Exam 7: Using binary integer programming to deal withy es-Or-No decisions28 Questions
Exam 8: Non linear programming52 Questions
Exam 9: Decision Analysis78 Questions
Exam 10: Forecasting76 Questions
Exam 11: Queuing models74 Questions
Exam 12: Computer simulation: Basic Concepts44 Questions
Exam 13: Computer simulation with risks olver platform47 Questions
Exam 14: Solution concepts for linear programming45 Questions
Exam 15: Transportation and assignment problems48 Questions
Exam 16: Pert CPM models for project management92 Questions
Exam 17: Goal programming21 Questions
Exam 18: Inventory management with known demand64 Questions
Exam 19: Inventory management with uncertain demand43 Questions
Exam 20: Computer simulation with crystal ball51 Questions
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A larger confidence interval is desirable for a measure of performance since it shows that the results are valid over a larger range
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(34) It is always necessary to test the validity of a simulation model by comparing its results with those of an analytic study
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(39) Random observations can be generated in Excel by using the VLOOKUP function
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(31) A simulation model is often formulated in terms of a flow diagram
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