Agile DMAIC cycle: incorporating process mining and support decision

IF 3.8 2区 工程技术 Q2 ENGINEERING, INDUSTRIAL International Journal of Lean Six Sigma Pub Date : 2023-10-03 DOI:10.1108/ijlss-04-2022-0092
Renan Ribeiro Do Prado, Pedro Antonio Boareto, Joceir Chaves, Eduardo Alves Portela Santos
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Abstract

Purpose The aim of this paper is to explore the possibility of using the Define-Measure-Analyze-Improve-Control (DMAIC) cycle, process mining (PM) and multi-criteria decision methods in an integrated way so that these three elements combined result in a methodology called the Agile DMAIC cycle, which brings more agility and reliability in the execution of the Six Sigma process. Design/methodology/approach The approach taken by the authors in this study was to analyze the studies arising from this union of concepts and to focus on using PM tools where appropriate to accelerate the DMAIC cycle by improving the first two steps, and to test using the AHP as a decision-making process, to bring more excellent reliability in the definition of indicators. Findings It was indicated that there was a gain with acquiring indicators and process maps generated by PM. And through the AHP, there was a greater accuracy in determining the importance of the indicators. Practical implications Through the results and findings of this study, more organizations can understand the potential of integrating Six Sigma and PM. It was just developed for the first two steps of the DMAIC cycle, and it is also a replicable method for any Six Sigma project where data acquisition through mining is possible. Originality/value The authors develop a fully applicable and understandable methodology which can be replicated in other settings and expanded in future research.
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敏捷DMAIC周期:结合流程挖掘和支持决策
本文的目的是探索将定义-测量-分析-改进-控制(DMAIC)周期、过程挖掘(PM)和多准则决策方法集成在一起的可能性,从而将这三个要素结合在一起形成一种称为敏捷DMAIC周期的方法,从而在执行六西格玛过程中带来更多的敏捷性和可靠性。设计/方法/方法作者在本研究中采用的方法是分析从概念的结合中产生的研究,并着重于在适当的地方使用PM工具,通过改进前两个步骤来加速DMAIC周期,并使用AHP作为决策过程进行测试,以在指标定义中带来更出色的可靠性。结果表明,在获取PM生成的指标和过程图方面存在增益。通过层次分析法,在确定指标的重要性方面有更高的准确性。通过本研究的结果和发现,更多的组织可以理解集成六西格玛和项目管理的潜力。它只是为DMAIC周期的前两个步骤开发的,它也是任何可以通过挖掘获取数据的六西格玛项目的可复制方法。原创性/价值作者开发了一种完全适用和可理解的方法,可以在其他环境中复制,并在未来的研究中扩展。
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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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