Section: Topic 7 | ODL-DSBA Operations Research & Optimization | Course Material

Section outline

- Select activity Overview
  
  Overview Page
  
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  Congratulations to you for progressing to our last 3 topics!
  We now turn a page to study queuing systems that have vast applications in our daily lives. For instance, we wait in line to pay our bills; we wait to be served by a waiter; we wait for a traffic jam to clear. The learning outcome of this topic is to model and evaluate a waiting line problem.
- Select activity Waiting Line Problem
  
  Waiting Line Problem File
  
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- Select activity Discussion
  
  Discussion Forum
  
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  Further to the example in slide #32: Assume there are Six administrative assistants who use an office copier. The average time between arrivals for each assistant is 40 minutes, which is equivalent to an arrival rate of 0.025 arrivals per minute. The mean time each assistant spends at the copier is 5 minutes, which is equivalent to a service rate of 0.20 minutes. Use M/M/1 model with a finite population to determine probability that the copier is idle. In your computation, what is conjecture of the relationship between the number of administrative assistante and the probability that the copier is idle.