{"title":"望加锡东方明珠面粉厂停机时间对生产效率的影响分析","authors":"Ilham Ahmad, Rahmawati Saleh, R. Rahmaniar","doi":"10.47709/joa.v2i01.2334","DOIUrl":null,"url":null,"abstract":"Productivity is a comparison between the results achieved (output) with the overall required resources (input) or a comparison between the results achieved with the role of labor per unit time. \nThe purpose of this study was to study Down Time analysis techniques for productivity in a wheat processing company (PT. Eastern Pearl Flour Mills Makassar), which produces wheat flour products of the Gatotkaca, Gunung, Kompas and Gerbang types. Down Time is the amount of time when a tool/machine cannot operate due to failure, but the factory can still operate because there are still other tools/machines that can replace functions so that the production process can still run. \nBased on the data analysis of the calculation of down time for manpower, it shows that the existence of down time during the process will affect the level of productivity (actual and standard). The value of down time from the calculation of working hours minus work effectiveness results in down time for each production area each month. The manpower down time results from all areas, namely in the area of 0 minutes/month. While the amount of data from the analysis of down time calculations for machines in all areas has a higher number of machine down times, namely in the milling area of 28 hours. And for the lowest results, namely in the area of unloading, cleaning, and packing, it is 0 hours.","PeriodicalId":14951,"journal":{"name":"Journal of Agriculture","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ANALYSIS OF THE EFFECT OF DOWN TIME ON PRODUCTIVITY AT PT. EASTERN PEARL FLOUR MILLS MAKASSAR\",\"authors\":\"Ilham Ahmad, Rahmawati Saleh, R. Rahmaniar\",\"doi\":\"10.47709/joa.v2i01.2334\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Productivity is a comparison between the results achieved (output) with the overall required resources (input) or a comparison between the results achieved with the role of labor per unit time. \\nThe purpose of this study was to study Down Time analysis techniques for productivity in a wheat processing company (PT. Eastern Pearl Flour Mills Makassar), which produces wheat flour products of the Gatotkaca, Gunung, Kompas and Gerbang types. Down Time is the amount of time when a tool/machine cannot operate due to failure, but the factory can still operate because there are still other tools/machines that can replace functions so that the production process can still run. \\nBased on the data analysis of the calculation of down time for manpower, it shows that the existence of down time during the process will affect the level of productivity (actual and standard). The value of down time from the calculation of working hours minus work effectiveness results in down time for each production area each month. The manpower down time results from all areas, namely in the area of 0 minutes/month. While the amount of data from the analysis of down time calculations for machines in all areas has a higher number of machine down times, namely in the milling area of 28 hours. And for the lowest results, namely in the area of unloading, cleaning, and packing, it is 0 hours.\",\"PeriodicalId\":14951,\"journal\":{\"name\":\"Journal of Agriculture\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Agriculture\",\"FirstCategoryId\":\"1091\",\"ListUrlMain\":\"https://doi.org/10.47709/joa.v2i01.2334\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Agriculture","FirstCategoryId":"1091","ListUrlMain":"https://doi.org/10.47709/joa.v2i01.2334","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
生产率是所取得的成果(产出)与所需要的全部资源(投入)之间的比较,或者是单位时间内所取得的成果与劳动的作用之间的比较。本研究的目的是研究小麦加工公司(PT. Eastern Pearl Flour Mills Makassar)的生产率停机时间分析技术,该公司生产的小麦面粉产品包括Gatotkaca、Gunung、Kompas和Gerbang类型。停机时间是指工具/机器由于故障而不能运行,但工厂仍然可以运行的时间,因为仍然有其他工具/机器可以替代功能,以便生产过程仍然可以运行。通过对人力停机时间计算的数据分析,表明在生产过程中停机时间的存在会影响生产效率的水平(实际和标准)。工作时间减去工作效率计算出的停机时间值就是每个生产区域每月的停机时间。所有区域的人力停机时间,即在0分钟/月左右。而所有区域机器停机时间计算分析的数据量具有更高的机器停机时间,即铣削区域为28小时。对于最低的结果,即卸载、清洗和包装区域,则为0小时。
ANALYSIS OF THE EFFECT OF DOWN TIME ON PRODUCTIVITY AT PT. EASTERN PEARL FLOUR MILLS MAKASSAR
Productivity is a comparison between the results achieved (output) with the overall required resources (input) or a comparison between the results achieved with the role of labor per unit time.
The purpose of this study was to study Down Time analysis techniques for productivity in a wheat processing company (PT. Eastern Pearl Flour Mills Makassar), which produces wheat flour products of the Gatotkaca, Gunung, Kompas and Gerbang types. Down Time is the amount of time when a tool/machine cannot operate due to failure, but the factory can still operate because there are still other tools/machines that can replace functions so that the production process can still run.
Based on the data analysis of the calculation of down time for manpower, it shows that the existence of down time during the process will affect the level of productivity (actual and standard). The value of down time from the calculation of working hours minus work effectiveness results in down time for each production area each month. The manpower down time results from all areas, namely in the area of 0 minutes/month. While the amount of data from the analysis of down time calculations for machines in all areas has a higher number of machine down times, namely in the milling area of 28 hours. And for the lowest results, namely in the area of unloading, cleaning, and packing, it is 0 hours.