Abstract

Lean Six Sigma (LSS) is an inclusive approach based on the concept of waste and variation reduction to achieve quality and sustainability. The successful adoption of any approach depends upon the awareness and readiness measures of a particular one. This paper contributes toward Micro-Small and Medium Enterprises (MSMEs) to adopt a comprehensive LSS approach in their existing system through the identification, analysis, and prioritization of LSS enablers and barriers. In the present study, 25 enablers and 21 barriers of LSS adoption are identified through literature review and are validated by using questionnaire-based survey. The screened enablers and barriers are further formulated into logical groups using factor analysis. These formulated groups are prioritized through Analytical Hierarchy Process (AHP) and compared the obtained results with the fuzzy decision-making trial and evaluation laboratory (Fuzzy-DEMATEL). The result reveals that among the main group of enablers, “management-based factor” is the top-ranked followed by “training- and education-based factor” and “technology-based factor” with AHP weights 0.4008, 0.2742, and 0.1465 respectively. On the other hand, among the main groups of barriers, “training and education based factor” is at first rank trailed by “management-based factor” with AHP weights 0.4780 and 0.2915 respectively. The outcomes of current research will facilitate the MSMEs to make a favorable environment toward the LSS approach for increasing productivity and profitability dynamics. An engineering manager can use this paper to enhance social sustainability through the incorporation of LSS approach in the communities where they work. Moreover, this study provides a guiding reference for practitioners and academicians to undertake similar nature of problems into other industrial sectors.

摘要

精益六西格码 (LSS) 是一种基于减少浪费和减少变异概念的包容性方法，以实现质量和可持续性。任何方法的成功采用取决于特定方法的意识和准备措施。本文有助于中小型企业 (MSME) 通过识别、分析和确定 LSS 促成因素和障碍的优先级，在其现有系统中采用全面的 LSS 方法。在本研究中，通过文献回顾确定了 LSS 采用的 25 个促成因素和 21 个障碍，并通过基于问卷的调查进行了验证。使用因子分析将筛选的促成因素和障碍进一步形成逻辑组。这些制定的组通过层次分析法（AHP）进行优先排序，并将获得的结果与模糊决策试验和评估实验室（Fuzzy-DEMATEL）进行比较。结果显示，在主要促成因素中，“管理型因素”排名第一，其次是“培训和教育型因素”和“技术型因素”，层次分析法权重分别为0.4008、0.2742和0.1465 . 另一方面，在主要障碍组中，“基于培训和教育的因素”排名第一，其次是“基于管理的因素”，AHP 权重分别为 0.4780 和 0.2915。当前研究的结果将有助于 MSME 为 LSS 方法创造有利环境，以提高生产力和盈利能力。工程经理可以通过将 LSS 方法纳入他们工作的社区，使用本文来提高社会可持续性。此外，本研究为从业者和院士将类似性质的问题带入其他工业领域提供了指导性参考。