Interpretive structural modeling of lean six sigma critical success factors in perspective of industry 4.0 for Indian manufacturing industries

IF 1.6 Q2 ENGINEERING, MULTIDISCIPLINARY International Journal of System Assurance Engineering and Management Pub Date : 2024-05-30 DOI:10.1007/s13198-024-02375-y
Pramod Kumar, Jaiprakash Bhamu, Sunkulp Goel, Dharmendra Singh
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Abstract

This paper aims to identify and analyze critical success factors (CSFs) of Lean Six Sigma (LSS) implementation in context to Industry 4.0 (I4.0) in Indian manufacturing industries. Twenty CSFs are identified from literature and expert’s opinion. A survey was conducted through administration of designed questionnaire in Indian manufacturing industries and reliability of the factors was tested calculating Cronbach’s alfa (α) value for all responses. Thereafter, out of twenty CSFs, sixteen were found reliable. Further, these sixteen factors were analyzed employing Interpretive Structural Modeling (ISM) technique and leveled as per developed model. The MICMAC analysis is employed for determining driving and dependence power of CSFs. The developed model provides a platform for the practitioners/researchers to design a framework for successful implementation of LSS in view of current manufacturing paradigm of I4.0. On analyzing the data using ISM technique, the ‘Organizational culture and belief’, ‘Effective top management commitment and attitude’ and ‘Motivated and skilled manpower’ are observed to be the most significant CSFs which drive the path for proper implementation of LSS in Indian manufacturing industries. The developed model will enable the practitioners to draw the effective strategy for proper implementation of LSS in view of Industry 4.0. The results will give an edge to the management to think strategically for improvements in this competitive environment.

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工业 4.0 视角下印度制造业精益六西格玛关键成功因素的解释性结构建模
本文旨在识别和分析印度制造业在工业 4.0(I4.0)背景下实施精益六西格玛(LSS)的关键成功因素(CSFs)。从文献和专家意见中确定了 20 个 CSF。通过在印度制造业发放设计好的调查问卷进行了调查,并计算了所有回答的 Cronbach's alfa (α) 值,测试了各因素的可靠性。此后,在二十个 CSF 中,有十六个被认为是可靠的。此外,还采用解释性结构建模(ISM)技术对这 16 个因子进行了分析,并根据所建立的模型进行了分级。MICMAC 分析用于确定 CSF 的驱动力和依赖力。所开发的模型为从业人员/研究人员提供了一个平台,以便根据当前的 I4.0 制造范式设计一个成功实施 LSS 的框架。通过使用 ISM 技术分析数据,我们发现 "组织文化和信念"、"高层管理者的有效承诺和态度 "以及 "有动力和有技能的员工 "是最重要的 CSF,它们是印度制造业正确实施 LSS 的驱动力。鉴于工业 4.0,所开发的模型将使从业人员能够为正确实施 LSS 制定有效的战略。研究结果将为管理层在激烈的竞争环境中进行战略思考提供优势。
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来源期刊
CiteScore
4.30
自引率
10.00%
发文量
252
期刊介绍: This Journal is established with a view to cater to increased awareness for high quality research in the seamless integration of heterogeneous technologies to formulate bankable solutions to the emergent complex engineering problems. Assurance engineering could be thought of as relating to the provision of higher confidence in the reliable and secure implementation of a system’s critical characteristic features through the espousal of a holistic approach by using a wide variety of cross disciplinary tools and techniques. Successful realization of sustainable and dependable products, systems and services involves an extensive adoption of Reliability, Quality, Safety and Risk related procedures for achieving high assurancelevels of performance; also pivotal are the management issues related to risk and uncertainty that govern the practical constraints encountered in their deployment. It is our intention to provide a platform for the modeling and analysis of large engineering systems, among the other aforementioned allied goals of systems assurance engineering, leading to the enforcement of performance enhancement measures. Achieving a fine balance between theory and practice is the primary focus. The Journal only publishes high quality papers that have passed the rigorous peer review procedure of an archival scientific Journal. The aim is an increasing number of submissions, wide circulation and a high impact factor.
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