S. Sari, Bintoro Dwi Krisna Winata, D. P. Andriani, Wisnu Wijayanto Putro
{"title":"WORK SAMPLING METHOD FOR ANALYSIS OF PERFORMANCE AND DETERMINING THE NUMBER OF WORKERS IN THE WAREHOUSE DEPARTMENT","authors":"S. Sari, Bintoro Dwi Krisna Winata, D. P. Andriani, Wisnu Wijayanto Putro","doi":"10.21776/ub.jemis.2021.009.01.6","DOIUrl":null,"url":null,"abstract":"Industrial competition demands that each company be effective and efficient, hence companies need to make optimal use of resources. The purpose of this research is to determine the productivity of the workers in completing their work and to discover how much workload is caused by the activities carried out. In addition, recommendations for improvements were also given as an effort to reduce the high rate of overtime hours and determine the appropriate number of the workforce at spare parts and raw materials division. The results showed that some workforces have an uneven workload. Meanwhile, based on the results of workload analysis, it can be seen that the workload of the warehouse feeder is classified as a high workload, which is 102%.","PeriodicalId":31715,"journal":{"name":"Journal of Engineering and Management in Industrial System","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Engineering and Management in Industrial System","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21776/ub.jemis.2021.009.01.6","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
Industrial competition demands that each company be effective and efficient, hence companies need to make optimal use of resources. The purpose of this research is to determine the productivity of the workers in completing their work and to discover how much workload is caused by the activities carried out. In addition, recommendations for improvements were also given as an effort to reduce the high rate of overtime hours and determine the appropriate number of the workforce at spare parts and raw materials division. The results showed that some workforces have an uneven workload. Meanwhile, based on the results of workload analysis, it can be seen that the workload of the warehouse feeder is classified as a high workload, which is 102%.