{"title":"用MTM-1方法和改进SOP的proproproof分析生产能力(案例研究:Pratiwi主要工作)","authors":"Andre Sugioko, D. -, Trifenaus Prabu Hidayat","doi":"10.25170/metris.v22i02.2626","DOIUrl":null,"url":null,"abstract":"PT. Karya Utama Pratiwi is a company that produces socks from yarn to socks. This company has two parts: the manufacture of socks and the heating section. There are still manual processes in the heating section, or there is still much human intervention. On the contrary, what happens in the sock-making section, which has many machines. The problem that occurs today is that the achievement of production targets is not always achieved, namely as many as 520 finish goods (18720 socks), so the root of the problem is sought. It was found that the production capacity measurement was never carried out, so it becomes the background of research in this study to measure production capacity in the heating section. Capacity measurement begins with measurements at each work station using a predetermined time standard system by paying attention to work movements using the MTM-1 method as input to the ProModel. Initial system simulation results produced an average of 478 in 30 replications. In addition, there are entities experiencing login delays of 10.36 and 21.20 minutes. In some locations, it was seen that they experienced idle time. For example, the oven was 56.97%, above 50%. So, there need to be improvements in order to achieve the target. These things become the basis for making SOPs achieve targets; SOPs are designed and run with ProModel simulations based on possible assumptions. Based on the SOP simulation results, increase production by 2% from the maximum initial simulation conditions from 579 to 594. SOPs will help meet targets and are well executed.","PeriodicalId":402087,"journal":{"name":"Jurnal METRIS","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analisis Kapasitas Produksi Dengan Metode MTM-1 Dan Alat Bantu Promodel Dalam Pembuatan SOP Perbaikan (Studi Kasus: PT. Karya Utama Pratiwi)\",\"authors\":\"Andre Sugioko, D. -, Trifenaus Prabu Hidayat\",\"doi\":\"10.25170/metris.v22i02.2626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PT. Karya Utama Pratiwi is a company that produces socks from yarn to socks. This company has two parts: the manufacture of socks and the heating section. There are still manual processes in the heating section, or there is still much human intervention. On the contrary, what happens in the sock-making section, which has many machines. The problem that occurs today is that the achievement of production targets is not always achieved, namely as many as 520 finish goods (18720 socks), so the root of the problem is sought. It was found that the production capacity measurement was never carried out, so it becomes the background of research in this study to measure production capacity in the heating section. Capacity measurement begins with measurements at each work station using a predetermined time standard system by paying attention to work movements using the MTM-1 method as input to the ProModel. Initial system simulation results produced an average of 478 in 30 replications. In addition, there are entities experiencing login delays of 10.36 and 21.20 minutes. In some locations, it was seen that they experienced idle time. For example, the oven was 56.97%, above 50%. So, there need to be improvements in order to achieve the target. These things become the basis for making SOPs achieve targets; SOPs are designed and run with ProModel simulations based on possible assumptions. Based on the SOP simulation results, increase production by 2% from the maximum initial simulation conditions from 579 to 594. SOPs will help meet targets and are well executed.\",\"PeriodicalId\":402087,\"journal\":{\"name\":\"Jurnal METRIS\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jurnal METRIS\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25170/metris.v22i02.2626\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jurnal METRIS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25170/metris.v22i02.2626","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
PT. Karya Utama Pratiwi是一家从纱线到袜子生产袜子的公司。本公司有两部分:袜子生产和加热部分。在加热部分仍然有人工过程,或者仍然有很多人为干预。相反,袜子生产部门的情况是,那里有很多机器。今天发生的问题是,生产目标并不总是能够实现,即多达520件成品(18720只袜子),所以要寻找问题的根源。发现生产能力的测量从未进行过,因此对加热段的生产能力进行测量成为本研究的研究背景。产能测量从使用预定的时间标准系统在每个工作站进行测量开始,通过使用MTM-1方法作为ProModel的输入,关注工作运动。初始系统模拟结果在30次重复中平均产生478。此外,还有实体的登录延迟分别为10.36分钟和21.20分钟。在一些地方,可以看到他们经历了空闲时间。例如,烤箱是56.97%,高于50%。因此,为了实现这一目标,需要进行改进。这些都成为标准操作程序实现目标的基础;sop的设计和运行是基于可能的假设的ProModel模拟。根据SOP模拟结果,从最大初始模拟条件579增加到594,产量增加2%。标准操作程序将有助于实现目标并得到良好的执行。
Analisis Kapasitas Produksi Dengan Metode MTM-1 Dan Alat Bantu Promodel Dalam Pembuatan SOP Perbaikan (Studi Kasus: PT. Karya Utama Pratiwi)
PT. Karya Utama Pratiwi is a company that produces socks from yarn to socks. This company has two parts: the manufacture of socks and the heating section. There are still manual processes in the heating section, or there is still much human intervention. On the contrary, what happens in the sock-making section, which has many machines. The problem that occurs today is that the achievement of production targets is not always achieved, namely as many as 520 finish goods (18720 socks), so the root of the problem is sought. It was found that the production capacity measurement was never carried out, so it becomes the background of research in this study to measure production capacity in the heating section. Capacity measurement begins with measurements at each work station using a predetermined time standard system by paying attention to work movements using the MTM-1 method as input to the ProModel. Initial system simulation results produced an average of 478 in 30 replications. In addition, there are entities experiencing login delays of 10.36 and 21.20 minutes. In some locations, it was seen that they experienced idle time. For example, the oven was 56.97%, above 50%. So, there need to be improvements in order to achieve the target. These things become the basis for making SOPs achieve targets; SOPs are designed and run with ProModel simulations based on possible assumptions. Based on the SOP simulation results, increase production by 2% from the maximum initial simulation conditions from 579 to 594. SOPs will help meet targets and are well executed.