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.