Implementation of a Lean Manufacturing and SLP- based system for a footwear company

Q3 Engineering
Sergio Enrique Diaz Silvestre, Victor David Paucar Chaicha, J. A. Merino, S. Nallusamy
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引用次数: 16

Abstract

Paper aims: This research article addresses an innovative solution to face one of the main problems in the footwear industry, namely the high order non-fulfillment rate. Originality: This research offers companies in the footwear industry the possibility of implementing Andon through a structured and planned process that allows expediting problem solving. The advantage of this system is the ability to signal the status of workstations through rapid visual identification. Moreover, in this way social distancing is also secured, in line with World Health Organization guidelines to prevent the spread of COVID-19. Research method: The article presents four phases through which the case study was addressed. Planning (determination of objectives), Restructuring of the Operations Area, Improvement of the Production Line and Continuous Improvement. Main findings: An Arena simulation system was used to establish a new scenario where the defective product indicator decreases by 3.13% and productivity improves by about 38%. In turn, the resulting increase in the number of orders enhances company sales and profits, as well as the ability to meet the customer demand in a timely manner. Implications for theory and practice: The case study suggests that the main causes of this issue (high order non-fulfillment rate) are the increasing rate of defective goods, delays in the production process, and excessive time consumption in the movement of staff and materials. This research serves as the basis for future lines of research, as well as for other organizations with similar characteristics to implement the proposal. © 2022
某鞋业公司实施精益生产和基于SLP的系统
本文的研究目的是针对鞋类行业中存在的一个主要问题,即高订单不履约率,提出一种创新的解决方案。独创性:这项研究为鞋类行业的公司提供了通过结构化和有计划的过程来实施Andon的可能性,从而加快了问题的解决。该系统的优点是能够通过快速的视觉识别来显示工作站的状态。此外,根据世界卫生组织防止新冠病毒传播的指导方针,这样也可以确保保持社交距离。研究方法:本文将案例研究分为四个阶段。计划(目标的确定),操作区域的重组,生产线的改进和持续改进。主要发现:利用Arena仿真系统建立了一个新的场景,次品指标降低了3.13%,生产率提高了约38%。反过来,订单数量的增加提高了公司的销售额和利润,以及及时满足客户需求的能力。对理论和实践的启示:案例研究表明,该问题(高订单不履约率)的主要原因是次品率的增加,生产过程中的延迟,以及人员和材料移动的过多时间消耗。这项研究是未来研究的基础,也是其他具有类似特征的组织实施建议的基础。©2022
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Production
Production Engineering-Industrial and Manufacturing Engineering
CiteScore
3.00
自引率
0.00%
发文量
26
审稿时长
40 weeks
期刊介绍: The Produção Journal (Production Journal), ISSN 0103-6513, is a Brazilian Association of Production Engineering (ABEPRO) publication. It was created in 1990 in order to provide a communication medium for academic articles in the Production Engineering field. Since 2002, the Production Engineering Department of Polytechnic School of the University of São Paulo (PRO/EPUSP) is responsible for the editorial process of Produção Journal, sponsored by Carlos Alberto Vanzolini Foundation (FCAV). Revista Produção has the tradition of eighteen published volumes and Qualis "B2" evaluation by CAPES in the Engineering III area. For Brazilian academic community it is a top journal in Production Engineering field.
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