{"title":"中小企业动态生产控制系统:在塑料吹塑机上的实现","authors":"C. Yeh, Yu-Tang Lee, Wen-Chin Liu","doi":"10.1504/IJMR.2016.079468","DOIUrl":null,"url":null,"abstract":"Most small and medium-sized enterprises (SME) own less-resources to invest on highly computerised production control system, the productivity can be improved by conserved and effective tool of dynamic production control when dealing with fluctuation business demands of globalisation is essential. This study is based on the principle of advanced planning and scheduling (APS) which is adopted eM-plant with Excel to simulate dynamic production control system that can meet the requirement of APS for SME. The virtual plant is exercised by simulation of eM-plant as to compare with the precedent production control system for the plastic blow-moulding machine plant on their restricted delivery requirement. Obviously, the refine dynamic production system concludes the KPIs are benefited from refine system which shorten order responding time to 15 minutes, shrink the duration of arranging order schedule from one day manually to 20 minutes, and escalate the rate of delivery on time to 80% from 45% previously. [Received 28 September 2015; Revised 24 June 2016; Accepted 1 July 2016]","PeriodicalId":154059,"journal":{"name":"Int. J. Manuf. Res.","volume":"101 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic production control system for SME: implementation on plastic blow-moulding machine\",\"authors\":\"C. Yeh, Yu-Tang Lee, Wen-Chin Liu\",\"doi\":\"10.1504/IJMR.2016.079468\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most small and medium-sized enterprises (SME) own less-resources to invest on highly computerised production control system, the productivity can be improved by conserved and effective tool of dynamic production control when dealing with fluctuation business demands of globalisation is essential. This study is based on the principle of advanced planning and scheduling (APS) which is adopted eM-plant with Excel to simulate dynamic production control system that can meet the requirement of APS for SME. The virtual plant is exercised by simulation of eM-plant as to compare with the precedent production control system for the plastic blow-moulding machine plant on their restricted delivery requirement. Obviously, the refine dynamic production system concludes the KPIs are benefited from refine system which shorten order responding time to 15 minutes, shrink the duration of arranging order schedule from one day manually to 20 minutes, and escalate the rate of delivery on time to 80% from 45% previously. [Received 28 September 2015; Revised 24 June 2016; Accepted 1 July 2016]\",\"PeriodicalId\":154059,\"journal\":{\"name\":\"Int. J. Manuf. Res.\",\"volume\":\"101 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Manuf. Res.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJMR.2016.079468\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Manuf. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMR.2016.079468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic production control system for SME: implementation on plastic blow-moulding machine
Most small and medium-sized enterprises (SME) own less-resources to invest on highly computerised production control system, the productivity can be improved by conserved and effective tool of dynamic production control when dealing with fluctuation business demands of globalisation is essential. This study is based on the principle of advanced planning and scheduling (APS) which is adopted eM-plant with Excel to simulate dynamic production control system that can meet the requirement of APS for SME. The virtual plant is exercised by simulation of eM-plant as to compare with the precedent production control system for the plastic blow-moulding machine plant on their restricted delivery requirement. Obviously, the refine dynamic production system concludes the KPIs are benefited from refine system which shorten order responding time to 15 minutes, shrink the duration of arranging order schedule from one day manually to 20 minutes, and escalate the rate of delivery on time to 80% from 45% previously. [Received 28 September 2015; Revised 24 June 2016; Accepted 1 July 2016]