文献类型：期刊文献

英文题名：Simulation analysis and optimization of garment manufacturing process based on Em-Plant software

作者：Sun, Jing[1];Li, Shigang[2];Xu, Chenchen[2];Liu, Jingyun[1]

通讯作者：Li, SG[1]

机构：[1]Beijing Union Univ, Coll Urban Rail Transit & Logist, Beijing, Peoples R China;[2]Beijing Union Univ, Coll Robot, Beijing 100020, Peoples R China

第一机构：北京联合大学

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Robot, Beijing 100020, Peoples R China.|[1141739]北京联合大学机器人学院;[11417]北京联合大学;

年份：2021

卷号：21

期号：6

起止页码：1727-1738

外文期刊名：JOURNAL OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING

收录：EI(收录号：20215211403837);Scopus(收录号：2-s2.0-85121835530);WOS:【ESCI(收录号:WOS:000730801700010)】；

基金：The study is supported by Research plan of visiting scholars by Beijing Union University in 2017. The authors wish to thank teachers in Beijing Union University for their helpful comments and suggestions.

语种：英文

外文关键词：Production line balancing; system simulation; MOST (Maynard Operation Sequence Technique)

摘要：In recent years, the way of competition has changed in terms of garment manufacturing. Quality and scale competition gradually turn into speed competition. Garment manufacturers need to shorten the production cycle to win development opportunities. This paper takes a garment manufacturing factory as the research object, and innovatively uses the MOST method and Em-Plant simulation to improve the efficiency of its production line. According to each activity, operation time and worker assignment of the garment manufacturing process, the corresponding simulation model based on Em-Plant software is created to reveal the current problems existing in the manufacturing process. By analyzing these results, the bottlenecks in the process are found out. Applying theoretical knowledge such as production line balancing, lean production, motion study and time analysis, the improvement two plans are put forward, and the corresponding simulation results are given subsequently. Finally, a relatively better improvement plan is determined, which can better achieve the goal of balancing production line, improving efficiency, and reducing cost.