Simulation Based Analysis of Hierarchical Timed Colored Petri Nets Model of the Restaurant Food Serving Process

L. A. Odeniyi, M. Balogun, R. Ganiyu, Adebukola Mutiat, Ogunrinde, Elijah Olusola Omidiora, Olatunde Olabiyisi
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Abstract

The major goal of establishing a restaurant is improved earnings making which can be jeopardized by customers' withdrawals due to lengthy ready lines. The above scenario was studied in this paper using simulation-based analysis of a Hierarchical Timed Coloured Petri Nets (HTCPN) model, which abstracted the serving operation of a renowned restaurant in the Ibadan metropolis. The restaurant was characterized by two or more servers that serially served each Customer from the multiple available servers at the four serving points. One hundred simulation runs were carried out on the HTCPN model using CPN Tools to determine the four (4) parameters,Customers' Average Flow Time (CAFT),Customers' Average Waiting Time (CAWT),Servers' Average Utilization Rate (SAUR) andCustomers' Average Queue Length (CAQL) required in serving 567, 1100, 1103, 770 and 829 customers from Monday to Friday, respectively. The model was validated by carrying out a statistical analysis t-Test between the simulated and the actual customers' flow time andservers' utilization rate at a 5% significant level. The validation results showed no significant differences between the simulated and the actual customers' average flow time andservers' utilization rate at a 5% significance level. Hence, the model can represent the restaurant under consideration.
基于仿真的餐厅上菜过程分层定时彩色Petri网模型分析
开设餐厅的主要目标是提高收入,而这可能会因排队等候时间过长而导致顾客提款而受到损害。本文对上述场景进行了基于仿真分析的分层定时彩色Petri网(HTCPN)模型研究,该模型抽象了伊巴丹市一家著名餐厅的服务操作。这家餐厅的特点是有两个或更多的服务员,他们从四个服务点的多个可用服务员中依次为每位顾客服务。利用CPN工具对HTCPN模型进行了100次模拟运行,以确定4个参数:客户平均流量时间(CAFT)、客户平均等待时间(CAWT)、服务器平均利用率(SAUR)和客户平均排队长度(CAQL),分别在周一至周五为567、1100、1103、770和829名客户提供服务。通过对模拟客户流量时间与实际客户流量时间、服务器利用率在5%显著水平上进行统计分析t检验,对模型进行了验证。验证结果表明,在5%的显著性水平上,模拟客户的平均流量时间和服务器利用率与实际客户的平均流量时间和服务器利用率没有显著差异。因此,该模型可以代表所考虑的餐厅。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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