Empirical analysis of key operational characteristics of lean six sigma and Industry 4.0 integration

V. Wankhede, S. Vinodh, Jiju Antony
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Abstract

PurposeTo achieve changing customer demands, organizations are striving hard to embrace cutting-edge technologies facilitating a high level of customization. Industry 4.0 (I4.0) implementation aids in handling big data that could help generate customized products. Lean six sigma (LSS) depends on data analysis to execute complex problems. Hence, the present study aims to empirically examine the key operational characteristics of LSS and I4.0 integration such as principles, workforce skills, critical success factors, challenges, LSS tools, I4.0 technologies and performance measures.Design/methodology/approachTo stay competitive in the market and quickly respond to market demands, industries need to go ahead with digital transformation. I4.0 enables building intelligent factories by creating smart manufacturing systems comprising machines, operators and information and communication technologies through the complete value chain. This study utilizes an online survey on Operational Excellence professionals (Lean/Six Sigma), Managers/Consultants, Managing Directors/Executive Directors, Specialists/Analysts/Engineers, CEO/COO/CIO, SVP/VP/AVP, Industry 4.0 professionals and others working in the field of I4.0 and LSS. In total, 83 respondents participated in the study.FindingsBased on the responses received, reliability, exploratory factor analysis and non-response bias analysis were carried out to understand the biasness of the responses. Further, the top five operational characteristics were reported for LSS and I4.0 integration.Research limitations/implicationsOne of the limitations of the study is the sample size. Since I4.0 is a new concept and its integration with LSS is not yet explored; it was difficult to achieve a large sample size.Practical implicationsOrganizations can utilize the study findings to realize the top principles, workforce skills, critical success factors, challenges, LSS tools, I4.0 tools and performance measures with respect to LSS and I4.0 integration. Moreover, these operational characteristics will help to assess the organization's readiness before and after the implementation of this integration.Originality/valueThe authors' original contribution is the empirical investigation of operational characteristics responsible for I4.0 and LSS integration.
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精益六西格玛与工业 4.0 融合的关键运行特征实证分析
目的 为了满足不断变化的客户需求,企业正在努力采用最先进的技术来促进高度定制化。工业 4.0(I4.0)的实施有助于处理大数据,从而帮助生成定制产品。精益六西格玛(LSS)依靠数据分析来解决复杂问题。因此,本研究旨在实证研究精益六西格玛和 I4.0 整合的关键运行特征,如原则、员工技能、关键成功因素、挑战、精益六西格玛工具、I4.0 技术和绩效衡量标准。设计/方法/途径为了保持市场竞争力并快速响应市场需求,各行业需要推进数字化转型。I4.0通过在完整的价值链中创建由机器、操作员以及信息和通信技术组成的智能制造系统,实现了智能工厂的建设。本研究对卓越运营专业人士(精益/六西格玛)、经理/顾问、总经理/执行董事、专家/分析师/工程师、首席执行官/首席运营官/首席信息官、高级副总裁/副总裁/副总裁、工业 4.0 专业人士以及其他从事 I4.0 和 LSS 领域工作的人员进行了在线调查。研究结果根据收到的答复,进行了可靠性分析、探索性因素分析和非答复偏差分析,以了解答复的偏差。此外,还报告了 LSS 和 I4.0 整合的五大操作特征。实际意义各组织可以利用研究结果来认识 LSS 和 I4.0 整合的首要原则、员工技能、关键成功因素、挑战、LSS 工具、I4.0 工具和绩效衡量标准。此外,这些运行特征将有助于评估组织在实施整合前后的准备情况。原创性/价值作者的原创性贡献在于对 I4.0 和 LSS 整合的运行特征进行了实证调查。
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