Jongpil Yun, Goo-Young Kim, Changha Lee, Mahdi Sajadieh, Sangdo Noh
{"title":"Optimized Assignment of Workers Considering Process Difficulty and Worker’s Differences Using Shop Floor Data","authors":"Jongpil Yun, Goo-Young Kim, Changha Lee, Mahdi Sajadieh, Sangdo Noh","doi":"10.7315/cde.2023.165","DOIUrl":null,"url":null,"abstract":"The assembly process consists of various manual tasks and each worker has a different performance level. Because of this, it is necessary to appropriately allocate tasks and workloads for workers. This will increase productivity and work efficiency. Therefore, it is necessary to assign workers different tasks after analyzing process intensity and individual worker differences. This paper presents a worker performance evaluation after measuring worker’s expertise and perceived physical effort for each task. Through the assignment algorithm developed, it can solve exceptional cases and optimize assignment. To validate the proposed methodology, research on domestic company S will be conducted to see if production and work efficiency can be increased after considering of process intensity and worker differences.","PeriodicalId":500791,"journal":{"name":"Korean Journal of Computational Design and Engineering","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean Journal of Computational Design and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7315/cde.2023.165","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
The assembly process consists of various manual tasks and each worker has a different performance level. Because of this, it is necessary to appropriately allocate tasks and workloads for workers. This will increase productivity and work efficiency. Therefore, it is necessary to assign workers different tasks after analyzing process intensity and individual worker differences. This paper presents a worker performance evaluation after measuring worker’s expertise and perceived physical effort for each task. Through the assignment algorithm developed, it can solve exceptional cases and optimize assignment. To validate the proposed methodology, research on domestic company S will be conducted to see if production and work efficiency can be increased after considering of process intensity and worker differences.