TAILIEUCHUNG - Lecture Introduction to Management Science with Spreadsheets: Chapter 13 - Stevenson, Ozgur

Chapter 13 "Waiting-line models", after completing this chapter, you should be able to: Explain why waiting lines can occur in service systems, identify typical goals for designing of service systems with respect to waiting, read the description of the queuing problem and identify the appropriate queuing model needed to solve the problem,. | Chapter 13 Waiting-Line Models Part 3 Probabilistic Decision Models Learning Objectives Explain why waiting lines can occur in service systems. Identify typical goals for designing of service systems with respect to waiting. Read the description of the queuing problem and identify the appropriate queuing model needed to solve the problem. Manually solve typical problems using the formulas and tables provided in this chapter. Use Excel to solve typical queuing problems associated with this chapter. After completing this chapter, you should be able to: McGraw-Hill/Irwin 13– Learning Objectives (cont’d) Use Excel and perform sensitivity analysis and what-if analysis with the results of various queuing models. Outline the psychological aspects of waiting lines. Explain the value of studying waiting-line models to those who are concerned with service systems. After completing this chapter, you should be able to: McGraw-Hill/Irwin 13– Figure 13–1 The Total Cost Curve Is U-Shaped The most common goal of queuing system design is to minimize the combined costs of providing capacity and customer waiting. An alternative goal is to design systems that attain specific performance criteria (., keep the average waiting time to under five minutes McGraw-Hill/Irwin 13– Figure 13–2 Major Elements of Waiting-Line Systems Waiting lines are commonly found in a wide range of production and service systems that encounter variable arrival rates and service times. First come, first served (FCFS) Priority Classification McGraw-Hill/Irwin 13– Figure 13–3 A Poisson Distribution Is Usually Used to Describe the Variability in Arrival Rate McGraw-Hill/Irwin 13– Assumptions for using the Poisson Distribution The probability of occurrence of an event (arrival) in a given interval does not affect the probability of occurrence of an event in another nonoverlapping interval. The expected number of occurrences of an event in an interval is proportional to the size of the .

• Quản trị kinh doanh
• Management science
• Management science with spreadsheets
• Deterministic decision models
• Probabilistic decision models
• Waiting line models
• Poisson distribution
• Applications of management science
• Excel spreadsheets
• Management thought
• Evolution of management thought
• Ideas in management
• Management theory
• Systems in management
• Production management
• Forecasting process
• Qualitative forecasts
• Linear programming
• Graphical solution
• Marketing applications
• Simplex method
• Sensitivity analysis
• Transportation method
• Solving transportation problems
• Integer programming
• Integer programming problems
• Solving integer programming
• Nonlinear programming
• Network optimization models
• Differential arithmetic
• Multicriteria decision
• Making models
• Decision theory
• Decision making
• Fixed Interval simulations
• Discrete simulations
• An introduction to management science
• Advanced linear programming applications
• Integer linear programming
• Markov processes
• Nonlinear optimization models
• Inventory models
• Decision analysis