Abstract

<p>According to the example of University restaurant, in order to improve the service ability, the industrial engineering method is used to optimize the meal purchasing process and restaurant layout. Considering the process random events, queuing, popular routes and other factors, the simulation model is established by using Flexsim software. The data are collected by field measurement and random sampling, and the data distribution is verified by maximum likelihood estimation method and goodness of fit test method, and the simulation parameters are calculated. The simulation results show that the optimized model can serve 124 people more than the current model in one hour, and the working rate of the four checkout counters has been improved, which proves that the optimized scheme can effectively alleviate the crowd congestion, improve the service ability, and provide data support for the implementation of the optimization scheme.</p>

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