Application of Queuing System using Fuzzy Approximation Method in a Departmental Store

M. Geethalakshmi, H. M. Moyeenudin, S. Bhavya, S. Lokesh, V. Sriram, A. Anand
{"title":"Application of Queuing System using Fuzzy Approximation Method in a Departmental Store","authors":"M. Geethalakshmi, H. M. Moyeenudin, S. Bhavya, S. Lokesh, V. Sriram, A. Anand","doi":"10.1109/ICCPC55978.2022.10072262","DOIUrl":null,"url":null,"abstract":"This paper deals with the systematic study on queueing systems and an application of queuing model. Here, the single stage queuing model with single queue and multiple servers is considered as a real time illustration. The average number of consumers in the system and in the queue along with the average waiting time of the consumers in the system and in the queue is calculated in a departmental store. The results are observed in various time intervals and the analysis is done for five different days using five different counters (servers). Finally, a comparative study on Last of Maxima method, Mean of Maxima method and fuzzy approximation method is done for five days and the approximation curve is manipulated based on our study.","PeriodicalId":367848,"journal":{"name":"2022 International Conference on Computer, Power and Communications (ICCPC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Computer, Power and Communications (ICCPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCPC55978.2022.10072262","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper deals with the systematic study on queueing systems and an application of queuing model. Here, the single stage queuing model with single queue and multiple servers is considered as a real time illustration. The average number of consumers in the system and in the queue along with the average waiting time of the consumers in the system and in the queue is calculated in a departmental store. The results are observed in various time intervals and the analysis is done for five different days using five different counters (servers). Finally, a comparative study on Last of Maxima method, Mean of Maxima method and fuzzy approximation method is done for five days and the approximation curve is manipulated based on our study.
模糊逼近排队系统在百货商店中的应用
本文对排队系统进行了系统的研究,并给出了排队模型的一个应用。这里,单队列和多服务器的单阶段排队模型被视为一个实时示例。在百货商店中,计算系统和队列中的消费者的平均人数以及系统和队列中消费者的平均等待时间。以不同的时间间隔观察结果,并使用五个不同的计数器(服务器)对五个不同的天进行分析。最后,用5天时间对极值法、极值法和模糊逼近法进行了比较研究,并在此基础上对逼近曲线进行了处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信