Abstract
Lean six sigma (LSS), a process improvement tool to achieve operational excellence in any industry, has become popular among practitioners over the last few decades. In this study, a framework for identifying barriers to LSS implementation in supply chains has been developed using the interpretive structural modeling (ISM) method. The ISM technique was used to identify the contextual relationships among the barriers. Barriers were classified based on their dependence power and driving power using MICMAC (Matriced Impacts Croisés Multiplication Appliquée á un Classement). This framework will provide a comprehensive understanding of how the barriers of LSS affect each other. The proposed framework has been tested using data from a real-world apparel manufacturing company in Bangladesh. 10 barriers to LSS implementation were identified from a literature review and industrial managers’ feedback. This study is expected to guide practitioners in implementing LSS in supply chains by helping to focus their effort on removing the most important barriers.
| Original language | English |
|---|---|
| Article number | 106843 |
| Journal | Computers and Industrial Engineering |
| Volume | 149 |
| DOIs | |
| State | Published - Nov 2020 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2020 Elsevier Ltd
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Apparel manufacturing
- Barrier analysis
- Interpretive structural modeling
- Lean six sigma
- Supply chain management
ASJC Scopus subject areas
- General Computer Science
- General Engineering
- Management Science and Operations Research
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