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This guide covers methods for analyzing queue length and service rates in customer service scenarios like restaurants, toll booths, parking garages, and intersections using Poisson distribution. Learn how to choose a busy restaurant time, study service rates, calculate queue length variations, and gather data for analysis.
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Before anything else • Read the manual carefully. It is your homework • What is covered in the following slides is just general
General • Customer service analysis (restaurants) • Toll booth • Parking garage • Intersections • Poisson distribution
Data Collection • Choose your best junk food restaurant • Choose the busiest time they have • Study one hour
Calculations q= arrival rate (veh/h) Q= service rate (veh/h) n= total number of vehicles, including served one Probability of exactly n vehicles in the system
Calculations q= arrival rate (veh/h) Q= service rate (veh/h) n= total number of vehicles, including served one Average number of n vehicles in the system
Calculations q= arrival rate (veh/h) Q= service rate (veh/h) n= total number of vehicles, including served one Average queue length
Calculations q= arrival rate (veh/h) Q= service rate (veh/h) n= total number of vehicles, including served one Average waiting time in queue after arrival
Calculations q= arrival rate (veh/h) Q= service rate (veh/h) n= total number of vehicles, including served one Average time a vehicle spends in the system including being served and waiting to be served
Calculations q= arrival rate (veh/h) Q= service rate (veh/h) n= total number of vehicles, including served one Probability of a vehicle spending time, t hours, or less in the system
Calculations q= arrival rate (veh/h) Q= service rate (veh/h) n= total number of vehicles, including served one Probability of a vehicle spending time, t, or less in the queue
Calculations q= arrival rate (veh/h) Q= service rate (veh/h) n= total number of vehicles, including served one Probability of more than N vehicles being in the queue
Interpret and conclude • Answer questions in manual • Prepare your presentation