Strategies for economic sustainability: An empirical study on Muri, Mura, and Muda in the readymade garment sector

Achieving economic sustainability in the garment manufacturing industry necessitates the implementation of several strategic measures. Basic strategies like adoption of automation, utilization of sustainable energy sources, diversification of markets and products, enhancement of supply chain resilie...

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Veröffentlicht in:Green Technologies and Sustainability 2025-01, Vol.3 (1), p.100115, Article 100115
Hauptverfasser: Hosen, Md. Imran, Tushar, Saifur Rahman, Alam, Md. Fahim Bin, Syduzzaman, Md
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Sprache:eng
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Zusammenfassung:Achieving economic sustainability in the garment manufacturing industry necessitates the implementation of several strategic measures. Basic strategies like adoption of automation, utilization of sustainable energy sources, diversification of markets and products, enhancement of supply chain resilience, etc. lead to the attainment of economic sustainability in the garment manufacturing industry. Additionally, the underlying component of these strategies for ensuring economic sustainability is the minimization of process waste, which can be effectively achieved through the application of lean manufacturing principles, specifically targeting the elimination of Muri, Mura, and Muda. This strategic commitment ensures business longevity amid evolving industrial landscapes, fostering innovation and competitiveness. In emerging economies like Bangladesh, pinpointing precise approaches to reduce waste is vital. This study explores into Muri, Mura, and Muda in the RMG sector, utilizing Pareto analysis, Fuzzy theory, Total Interpretative Structural Modeling (TISM), and Matriced’ Impacts Cruoses Multiplication Applique an un Classement (MICMAC) analysis. After the initial identification of 21 (twenty) factors, Pareto analysis pinpointed the primary 16 (sixteen) factors. Subsequently, these factors underwent analysis through fuzzy TISM and fuzzy MICMAC. The results highlighted “Demand variation”, “Supplier variation”, “Workforce variation”, and “Energy supply variation” as the most crucial factors. The novelty of this study lies in exploring Muri and Mura factors in correlation with Muda employing the existing hybrid and effective methodology that combines Pareto analysis, Fuzzy MICMAC, and Fuzzy TISM methodologies. It offers fresh perspectives on their significance for economic sustainability in the garment sector. Prior research has not explored this integrated approach to reduce process waste by addressing Muri and Mura factors in emerging economies’ garment industries. This research is poised to significantly impact waste reduction in the RMG sector, enhancing competitiveness, appealing to environmentally conscious consumers, and ensuring industry standards adherence essential for sustained success. The contribution of this research is grounded in helping the practitioners and entrepreneurs in developing nations make strategic choices that will lead to the RMG sector’s resilience and, ultimately, economic sustainability. •This study explores Muri, Mura and Muda in
ISSN:2949-7361
2949-7361
DOI:10.1016/j.grets.2024.100115