{"title":"使用系统动力学建模评估精益实施的可持续性","authors":"Marc Haddad, Rami Otayek","doi":"10.4018/ijsda.2019100102","DOIUrl":null,"url":null,"abstract":"The adoption of the lean approach has yet to extend to the majority of manufacturers in developing countries where traditional work practices are dominant and cultural resistance to change is high. This research consists of a case study about lean implementation at a clothing manufacturer in a developing country. Production wastes are identified and appropriate lean techniques, namely Total Productive Maintenance, Kanban and Supermarket Pull, are identified to eliminate or reduce them. The potential impacts on the manufacturing system are first assessed using a system dynamics model. The modeling results showed a “getting worse before getting better” behavior as work-in-process increased in the short-term, before a net reduction of 34% on average was achieved over the first 3 months. This result was replicated by a similar trend in the actual lean implementation on the factory floor, showing the usefulness of SD modeling for supporting the sustainability of lean interventions where short-term drawbacks can be deceptive when compared to the long-term benefits of lean.","PeriodicalId":44415,"journal":{"name":"International Journal of System Dynamics Applications","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4018/ijsda.2019100102","citationCount":"9","resultStr":"{\"title\":\"Assessing the Sustainment of a Lean Implementation Using System Dynamics Modeling\",\"authors\":\"Marc Haddad, Rami Otayek\",\"doi\":\"10.4018/ijsda.2019100102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The adoption of the lean approach has yet to extend to the majority of manufacturers in developing countries where traditional work practices are dominant and cultural resistance to change is high. This research consists of a case study about lean implementation at a clothing manufacturer in a developing country. Production wastes are identified and appropriate lean techniques, namely Total Productive Maintenance, Kanban and Supermarket Pull, are identified to eliminate or reduce them. The potential impacts on the manufacturing system are first assessed using a system dynamics model. The modeling results showed a “getting worse before getting better” behavior as work-in-process increased in the short-term, before a net reduction of 34% on average was achieved over the first 3 months. This result was replicated by a similar trend in the actual lean implementation on the factory floor, showing the usefulness of SD modeling for supporting the sustainability of lean interventions where short-term drawbacks can be deceptive when compared to the long-term benefits of lean.\",\"PeriodicalId\":44415,\"journal\":{\"name\":\"International Journal of System Dynamics Applications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4018/ijsda.2019100102\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of System Dynamics Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijsda.2019100102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of System Dynamics Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijsda.2019100102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Assessing the Sustainment of a Lean Implementation Using System Dynamics Modeling
The adoption of the lean approach has yet to extend to the majority of manufacturers in developing countries where traditional work practices are dominant and cultural resistance to change is high. This research consists of a case study about lean implementation at a clothing manufacturer in a developing country. Production wastes are identified and appropriate lean techniques, namely Total Productive Maintenance, Kanban and Supermarket Pull, are identified to eliminate or reduce them. The potential impacts on the manufacturing system are first assessed using a system dynamics model. The modeling results showed a “getting worse before getting better” behavior as work-in-process increased in the short-term, before a net reduction of 34% on average was achieved over the first 3 months. This result was replicated by a similar trend in the actual lean implementation on the factory floor, showing the usefulness of SD modeling for supporting the sustainability of lean interventions where short-term drawbacks can be deceptive when compared to the long-term benefits of lean.