Implementation of VSM, simulation and DMAIC methodology for the productivity enhancement of sewing operations in the apparel industry

Hassan Nawaz, Shamraiz Ahmad, Muhammad Huzaifa Raza, Muhammad Asad Ali and Nizam Aqil

International Journal of Productivity and Performance Management, 2026, vol. 75, issue 6, 2050-2078

Abstract: PurposeTextile industries in developing countries face the major challenge of fulfilling customer demand at competitive prices. Therefore, it becomes inevitable for industry to reduce its production costs by minimizing process waste to survive in the global market.Design/methodology/approachThis research focuses on the identification and elimination of Lean wastes from the sewing production lines in the apparel industry through value stream mapping supported by “Define, Measure, Analyze, Improve and Control” (DMAIC) methodology of Six Sigma. The analysis has been further supported by discrete event simulation (DES) to investigate the current situation and map the future state of the system. The analytic hierarchy process, integrated with the Grey relational analysis approach, is practiced exploring the best optimum solution from the various feasible solutions suggested by DES.FindingsVSM and DES highlighted the multiple non-value-added (NVA) activities, including the high level of work in process within the production line, unnecessary operations, bottleneck workstations and manual operations that could be automated with less effort. Lean Six Sigma (LSS) has proven to be an effective method for eliminating the identified NVA activities from the production line. Quantitative analysis showed an improvement in productivity of 9.3% and a lead time reduction of 73%. Additionally, the amount of clothing produced per shift has increased by 6.8%, which in the initial situation was not even enough to meet the daily demand from customers.Research limitations/implicationsBy adapting the integrated LSS, DES and multi-criteria decision-making paradigm to other labor-intensive industries, this study increases its generalizability in the context of Industry 4.0 and creates opportunities for future research. Its concentration on a single denim manufacturing scenario, however, may limit its wider applicability in the absence of additional validation across pertinent industries.Originality/valueThe proposed methodological framework, based on different industrial engineering tools and techniques, provides a strategic roadmap to not only the apparel industry but also the related industries that are suffering from low productivity and high lead time.

Keywords: Lean six sigma; Discrete event simulation; VSM; AHP; GRA (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijppmp:ijppm-03-2025-0206

DOI: 10.1108/IJPPM-03-2025-0206

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