{"title":"Queue Optimization Study for Retail Efficiency Enhancement","authors":"Edo Setiabudi, A. S. Cahyana","doi":"10.21070/ijins.v25i3.1165","DOIUrl":null,"url":null,"abstract":"Minimarkets face challenges of overcrowding and prolonged wait times, often due to suboptimal cashier staffing. This study aims to determine the optimal number of cashiers to minimize queues. Using a single-phase multi-channel queuing model, data was collected through direct observation and quantitative analysis. Initial findings with two cashiers revealed varying wait times, prompting simulation experiments. Results indicated that adding a third cashier significantly reduced wait times to 0.41-2.45 minutes, enhancing service efficiency and customer satisfaction. Future research may explore longer observation periods and assess cost-effectiveness in staffing adjustments. \nHighlight: \n \n \nData Analysis: Direct observation, quantitative data, and Excel processing for insights. \nSimulation Test: Arena software simulates cashier scenarios for service optimization. \nEfficiency Boost: Adding a cashier reduces wait times, enhancing customer satisfaction. \n \n \nKeywoard: Minimarket, Queuing Model, Cashier Optimization, Service Efficiency, Customer Satisfaction.","PeriodicalId":431998,"journal":{"name":"Indonesian Journal of Innovation Studies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indonesian Journal of Innovation Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21070/ijins.v25i3.1165","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
Minimarkets face challenges of overcrowding and prolonged wait times, often due to suboptimal cashier staffing. This study aims to determine the optimal number of cashiers to minimize queues. Using a single-phase multi-channel queuing model, data was collected through direct observation and quantitative analysis. Initial findings with two cashiers revealed varying wait times, prompting simulation experiments. Results indicated that adding a third cashier significantly reduced wait times to 0.41-2.45 minutes, enhancing service efficiency and customer satisfaction. Future research may explore longer observation periods and assess cost-effectiveness in staffing adjustments.
Highlight:
Data Analysis: Direct observation, quantitative data, and Excel processing for insights.
Simulation Test: Arena software simulates cashier scenarios for service optimization.
Efficiency Boost: Adding a cashier reduces wait times, enhancing customer satisfaction.
Keywoard: Minimarket, Queuing Model, Cashier Optimization, Service Efficiency, Customer Satisfaction.
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