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Journal : Journal of Industrial System Engineering and Management

Transforming Small-Scale Garment Production: Lean Manufacturing and VSM Strategies for Enhanced Productivity in Makassar's MSMEs Fole, Asrul; Safitri, Khoerun Nisa
Journal of Industrial System Engineering and Management Vol. 4 No. 1 (2025): Journal of Industrial System Engineering and Management (Edisi June)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56882/jisem.v4i1.41

Abstract

This research aims to examine the application of Lean Manufacturing and Value Stream Mapping (VSM) in enhancing productivity within micro, small, and medium enterprises (MSMEs) in the garment sector in Makassar. By focusing on identifying and reducing waste, this study analyzes cycle times and activity mapping to uncover bottlenecks that hinder operational efficiency. The analysis results indicate that the implementation of Lean principles can lead to significant improvements in production processes, including reductions in cycle time and waiting time. Furthermore, this research highlights the importance of eliminating non-value-added activities and integrating advanced technologies, such as automation and real-time tracking systems, to further enhance efficiency. These findings not only provide valuable insights for industry practitioners but also offer practical guidance for optimizing production processes. By adopting Lean strategies, garment MSMEs in Makassar can improve their competitiveness in an increasingly competitive market while contributing to regional economic development. This study is expected to serve as a reference for researchers, practitioners, and policymakers in efforts to create a more efficient and sustainable garment industry in Indonesia.
Integrating Digitalization in Supply Chain Performance Evaluation of the Zinc Industry through the Analytic Network Process (ANP) Fole, Asrul; Safitri, Khoerun Nisa; Aini, Nurul; Negara, Palmadi Putri Surya
Journal of Industrial System Engineering and Management Vol. 4 No. 2 (2025): Journal of Industrial System Engineering and Management (Edisi November)
Publisher : PT. SAFARI AMALIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56882/jisem.v4i2.55

Abstract

The zinc industry faces significant challenges in improving supply chain performance due to complex production, distribution, and quality control systems, as well as uneven digitalization that limits real-time monitoring and decision-making. This study develops a digitalization-based supply chain performance evaluation model using the Analytic Network Process (ANP) to determine priority weights of key performance indicators (KPIs). Data were collected from 15 industry experts with 15–20 years of experience. The analysis shows that Reliability (0.32) and Cost Efficiency (0.26) are the most influential dimensions, followed by Responsiveness (0.19), Flexibility (0.13), and Asset Management (0.10). The highest-priority KPIs are On-Time Delivery (0.0518) and Order Fulfillment Rate (0.0506), while Capacity Utilization Ratio (0.0033) has the lowest weight. Integrating digital systems such as ERP, IoT, and MES enhances real-time visibility, data accuracy, and responsiveness—reducing production delays by 18%, improving logistics cost efficiency by 12%, and increasing delivery reliability by 20%. The ANP-based model thus provides an objective, data-driven foundation for continuous performance improvement and strategic decision-making.