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Article type: Research Article
Authors: Sun, Jinga | Li, Shigangb; * | Xu, Chenchenb | Liu, Jingyuna
Affiliations: [a] College of Urban Rail Transit and Logistics, Beijing Union University, Beijing, China | [b] College of Robotics, Beijing Union University, Beijing, China
Correspondence: [*] Corresponding author: Shigang Li, College of Robotics, Beijing Union University, Beijing 100020, China. E-mail: jdtshigang@buu.edu.cn.
Abstract: 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.
Keywords: Production line balancing, system simulation, MOST (Maynard Operation Sequence Technique)
DOI: 10.3233/JCM-215401
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 21, no. 6, pp. 1727-1738, 2021
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