实施精益生产工具提高纺织制造业中小企业订单履行的生产模式

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Beatriz Martel, Patricia I. Kehuarucho, Martín Collao, Juan Quiroz, Alberto Flores
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引用次数: 0

摘要

-由于2019冠状病毒病(covid-19)大流行引发的经济衰退,并考虑到纺织和服装行业在秘鲁的重要性,订单履行是商业世界的一项要求;在没有控制的情况下,它成为纺织制造业中小企业和微型中小企业(MSMEs)反复出现的问题指标。本研究提出了一种围绕上述指标的生产模型,通过基于5S、Total Productive Maintenance (TPM)(自主维护)和人机工程学的管理模型,借助Arena Simulator、Rapid Upper Limb Assessment (RULA)和Delmia V5等仿真软件,提高涂装过程的效率。该模型实施后,取得了积极的结果,机械整体效率提高了24.23%,货源搜索时间减少了10.63%,由于不良姿态导致的风险水平得到改善,最终使订单的按时、满额完成率提高了45.50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Production Model Implementing Lean Manufacturing Tools to Increase Order Fulfillment in SMEs of the Textile Manufacturing Sector
— Due to the context of the economic recession that the country is going through triggered by the covid-19 pandemic and considering the importance of the textile and clothing sector in Peru, order fulfillment is a requirement in the business world; when there is no control over it, it turns into an indicator of recurring issues for Small and Midsize Enterprises (SMEs) and Micro, Small & Medium Enterprises (MSMEs) of the textile manufacturing sector. This study proposes a production model focused on the mentioned indicator to improve efficiency in the coating process through a management model based on 5S, Total Productive Maintenance (TPM) (autonomous maintenance), and ergonomics with help of simulation software, such as Arena Simulator, Rapid Upper Limb Assessment (RULA) and Delmia V5. After the implementation of this model, positive results were obtained, which showed an increase in overall global efficiency of the machinery by 24.23%, a reduction of supplies search time by 10.63%, and improvements in the risk level due to bad posture to finally get an increase of 45.50% in order fulfillment, on time, in full.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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