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Aziz, A, Talapatra, S and Belal, H (2024) Improving Equipment Effectiveness through Visual Stream Mapping: Some Exploratory Research Findings in the Ready-Made Garment (RMG) Sector. Global Journal of Flexible Systems Management. ISSN 0972-2696
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Improving Equipment Effectiveness through Visual Stream Mapping Some Exploratory Research Findings in the Ready Made Garment RMG Sector.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Improving equipment effectiveness is crucial for flexible manufacturing, as it ensures that machines and tools perform their functions efficiently and consistently. Our study aimed to enhance the Overall Equipment Effectiveness (OEE) in the Ready-Made Garments (RMG) manufacturing system in Bangladesh. We used the DMADV methodology, which incorporates Visual Stream Mapping (VSM) and OEE. By utilizing VSM, we identified issues, eliminated them in the design phase, and evaluated performance in the verification phase. We automated the material handling system to reduce handling time, and the result was a significantly improved OEE in the automated manufacturing system compared to the manual one. This study has numerous benefits in the field of flexible manufacturing and operations management, ranging from immediate efficiency improvements to long-lasting cultural transformations within organisations. Thus, it's a noteworthy topic for practical applications and research. Enhancing Equipment Effectiveness through Visual Stream Mapping 4.0 has broad-reaching implications, including improved productivity, reduced waste, increased efficiency, better resource utilisation, and a more agile and responsive manufacturing environment. Although OEE and VSM are frequently used separately in different manufacturing systems, this study's novelty lies in their combined application within the context of garment manufacturing.
| Item Type: | Article |
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| Subjects: | H Social Sciences > HF Commerce > HF5001 Business |
| Divisions: | Liverpool Business School |
| Publisher: | Springer |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 19 Dec 2023 11:05 |
| Last Modified: | 26 Mar 2024 14:00 |
| DOI or ID number: | 10.1007/s40171-024-00386-z |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/22127 |
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