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All Journal Jurnal Ilmiah Manajemen Kesatuan Economic and Business Horizon
Ahmad Syamil
Universitas Bina Nusantara, Indonesia
Economics, Econometrics & Finance Social Sciences

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The Roles of Agility, Supply Chain Sustainability, and Risk Management on Operations Performance in Manufacturing Industry Ahmad Syamil; Nazaruddin La Ode; Bernadetha Christy Rosariana; Livia Maharani Aristy; Rut Liesl
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 3 (2025): JIMKES Edisi Mei 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i3.3315

Abstract

This study investigates the role of sustainable supply chain practices and risk management in enhancing manufacturing agility and operational performance, with a particular focus on the underexplored context of developing countries such as Indonesia. Data were collected from 255 managers and executives across the manufacturing, operations, logistics, and supply chain sectors using a structured questionnaire based on a five-point Likert scale. The responses were analyzed using SmartPLS. The results indicate that environmental practices positively influence both manufacturing agility and operational performance, although the effect on operational performance is relatively weaker yet remains statistically significant. Risk management emerges as a critical enabler, contributing positively to both agility and performance outcomes. Among the variables examined, manufacturing agility exerts the strongest influence on operational performance, underscoring its pivotal role in achieving competitive advantage. By integrating supply chain sustainability, risk management, manufacturing agility, and operational performance into a unified framework, this study addresses key research gaps and provides valuable theoretical and practical insights.
Improving Quality, Productivity, and Lead Time through Toyota’s 8-Step Problem-Solving Method in Indonesian Apparel Manufacturing Ahmad Syamil; Siti Mardiana
Economic and Business Horizon Vol. 4 No. 3 (2025): September-December
Publisher : LifeSciFi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54518/ebh.4.3.2025.2010

Abstract

Apparel manufacturers face persistent challenges in maintaining product quality, improving production efficiency, and meeting increasingly demanding delivery schedules within volatile global supply chain networks. Recurring sewing defects and inconsistent shop-floor practices highlight the need for systematic continuous improvement (Kaizen) approaches that address root causes and sustain operations performance. Because Toyota’s 8-Step Problem-Solving Method is based on the 4 step PDCA (Plan-Do-Check-Act) cycle, it provides an actionable framework to institutionalize lean routines and eliminate process waste. This study evaluates the implementation of this methodology and its implications for defect rates, sewing-line efficiency, manufacturing lead time, and standardized problem-solving routines. A longitudinal single-case study was conducted at an apparel manufacturing enterprise in West Java, Indonesia, focusing on six high-volume sewing lines over 12 months. Operations data from baseline and post-implementation phases were analyzed descriptively, while paired t-tests were used to assess performance changes. The results showed that the average defect rate decreased from 8.42% to 2.15%, sewing line efficiency increased from 58.30% to 81.60%, and manufacturing lead time declined from 24.50 to 14.20 days. Daily output per line also increased by 39.92%. All three primary performance indicators changed significantly (p < 0.001). The findings indicate that structured problem-solving, supported by root-cause analysis, targeted countermeasures, monitoring, and standardization, directly strengthens operational capability and downstream delivery reliability across the supply chain. However, further research is needed to establish the long-term sustainability and generalizability of these improvements across different industrial contexts.
Co-Authors Bernadetha Christy Rosariana Livia Maharani Aristy Nazaruddin La Ode Rut Liesl Siti Mardiana