通过价值流映射工具的优化排序来提高制造组织绩效的混合方法

IF 3.8 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Sameer Kumar, Yogesh Marawar, G. Soni, V. Jain, A. Gurumurthy, R. Kodali
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引用次数: 0

摘要

目的精益制造(LM)在制造业中很普遍;因此,关注快速准确的精益工具实现是制造业的新范式。价值流映射(VSM)是众多LM工具之一。可以理解,将LM实施与VSM工具相结合可以产生更好的结果。本文旨在开发一个用于精益实施的VSM工具优化排序的专家系统。设计/方法/方法所提出的人工神经网络(ANN)模型是基于为本研究设计的分析网络过程(ANP)。它将有助于以最佳顺序选择VSM工具。发现考虑到不同类型的废物及其发生水平,组织需要一套有效消除这些废物的具体工具。所开发的ANP模型计算废物和VSM工具之间的相互关系水平。神经网络是根据从大量案例研究中获得的数据设计和训练的,因此它可以预测任何新案例数据集的VSM工具的准确序列。独创性/价值ANN模型的设计和使用提供了经验和实际案例的综合结果,由于考虑了所有可行的方面,因此更准确。通过在一家汽车制造公司的实施,验证了所提出的建模方法。它带来了好处,即减少了偏见、所需时间、所需努力和决策过程的复杂性。更重要的是,根据所有性能标准和子标准,通过提高选择合适的VSM工具的准确性及其精益实施的最佳顺序,实现了本研究的主要目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hybrid approach to enhancing the performance of manufacturing organizations by optimal sequencing of value stream mapping tools
Purpose Lean manufacturing (LM) is prevalent in the manufacturing industry; thus, focusing on fast and accurate lean tool implementation is the new paradigm in manufacturing. Value stream mapping (VSM) is one of the many LM tools. It is understood that combining LM implementation with VSM tools can generate better outcomes. This paper aims to develop an expert system for optimal sequencing of VSM tools for lean implementation. Design/methodology/approach A proposed artificial neural network (ANN) model is based on the analytic network process (ANP) devised for this study. It will facilitate the selection of VSM tools in an optimal sequence. Findings Considering different types of wastes and their level of occurrence, organizations need a set of specific tools that will be effective in the elimination of these wastes. The developed ANP model computes a level of interrelation between wastes and VSM tools. The ANN is designed and trained by data obtained from numerous case studies, so it can predict the accurate sequence of VSM tools for any new case data set. Originality/value The design and use of the ANN model provide an integrated result of both empirical and practical cases, which is more accurate because all viable aspects are then considered. The proposed modeling approach is validated through implementation in an automobile manufacturing company. It has resulted in benefits, namely, reduction in bias, time required, effort required and complexity of the decision process. More importantly, according to all performance criteria and subcriteria, the main goal of this research was satisfied by increasing the accuracy of selecting the appropriate VSM tools and their optimal sequence for lean implementation.
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来源期刊
International Journal of Lean Six Sigma
International Journal of Lean Six Sigma Engineering-Industrial and Manufacturing Engineering
CiteScore
8.90
自引率
15.00%
发文量
46
期刊介绍: Launched in 2010, International Journal of Lean Six Sigma publishes original, empirical and review papers, case studies and theoretical frameworks or models related to Lean and Six Sigma methodologies. High quality submissions are sought from academics, researchers, practitioners and leading management consultants from around the world. Research, case studies and examples can be cited from manufacturing, service and public sectors. This includes manufacturing, health, financial services, local government, education, professional services, IT Services, transport, etc.
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