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Course Description

To analyze a service process, you generally need to analyze the queues within it. You need to know how many customers are in the queue on average and how long they generally wait to receive service. This will allow you to identify when a service process or queueing system is not functioning as desired so that you can propose solutions to reduce customer wait times and improve their experience. In this lesson, you will receive an introduction to queueing theory as a method by which you can analyze service operations. You will practice using tools of queue analysis, including the Lq approximation and Little's Law, and you will test your ability to calculate performance metrics based on a given scenario. You will then use those tools to compare queueing configurations to determine which is best for the organization and the customer. You will also explore Maister’s Eight Factors to better understand your customer’s perception of time and how to manage service operations effectively.

Benefits to the Learner

  • Use queueing theory to analyze a service process in which the levels of demand are variable
  • Recommend strategies to reduce customer time spent in a queue and improve a service process
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Type
self-paced (non-instructor led)
Dates
Nov 23, 2020 to Dec 31, 2030
Total Number of Hours
1.0
Course Fee(s)
Regular Price $0.00
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