Journal of Industrial System Engineering and Management

Failure Mode Analysis of Injection Molding Machines Using FMEA to Improve Production Reliability

Bayu Wahyudi, Asrul Fole, Muhamad Alfi Syahrin, Nurul Binti Gafar, Yasmin — Tue, 30 Jun 2026 00:00:00 +0000

Production reliability plays an important role in maintaining operational efficiency and product quality in manufacturing industries, particularly in injection molding machine systems. However, machine failures often cause downtime, defective products, and increased maintenance costs. This study aims to analyze failure modes in injection molding machines using the Failure Mode and Effects Analysis (FMEA) method to improve production reliability at the South Sumatra Palm Oil Processing Industry. The research employed a quantitative descriptive-analytical approach, using observations, interviews, documentation, and maintenance records collected during August 2025. The analysis focused on critical machine components, including the mold, heater band, cutting system, hydraulic pump, and thermocouple. The results showed that the mold failure coded M1 had the highest Risk Priority Number (RPN) of 140, followed by the cutting failure C1 with 120 and the mold closing failure M2 with 108. Pareto analysis indicated that approximately 60% of operational disruptions were caused by four dominant failures. The proposed preventive maintenance and inspection strategies are expected to significantly reduce operational disruptions and improve production reliability.

Halal Supply Chain Risk Analysis Using an Integrated FMEA–SCOR and Monte Carlo Simulation Approach to Assess Blockchain Technology Adoption Feasibility in Indonesian Halal Food MSMEs

Muhammad Budi Adiputra Reski, Nurul Chairany, Rabiatul Adawiyah — Tue, 30 Jun 2026 00:00:00 +0000

Indonesia's halal industry is one of the fastest-growing components of the national economy, with the food and beverage sub-sector posting 5.87% year-on-year growth in 2024 and total halal consumption reaching IDR 545.6 trillion in 2022, yet only 4.4% of the country's roughly 28 million Micro and Small Enterprises (MSEs) had been halal-certified by May 2024, making supply chain readiness a critical concern ahead of the mandatory halal certification deadline of October 2026. This study integrates Failure Mode and Effect Analysis (FMEA) with the Supply Chain Operations Reference (SCOR) model to identify and prioritize risk points along the MSME halal food supply chain, and then applies a 10,000-iteration Monte Carlo simulation to quantify the ex-ante reduction in aggregate Risk Priority Number (RPN) achievable through blockchain technology adoption. Twenty-eight risk points were mapped across the Plan, Source, Make, Deliver, and Return processes, with an aggregate Total RPN of 4,180 before mitigation; the five highest-RPN risks all relate to traceability gaps and halal-document integrity, with the Make stage contributing 39.2% of total risk. Simulation results show that blockchain adoption produces a non-linear, diminishing-returns reduction profile: 21.2% risk reduction at 25% penetration, 41.4% at 50%, 62.0% at 70%, and 79.3% at 90%. The optimal investment point is estimated at p ≈ 0.70, beyond which marginal benefits decline sharply. The findings provide a practical, quantitative framework for MSME operators, Badan Penyelenggara Jaminan Produk Halal (BPJPH), and Lembaga Pemeriksa Halal (LPH) to design phased blockchain adoption supported by ecosystem readiness in regulation, organization, and technology.

A Sustainability-Based KPI Framework for Distribution Performance Assessment and Supply Chain Improvement in Soybean Processing SMEs

Khoerun Nisa Safitri, Nurul 'Aini, Khairunnisa Sulistiawati, Nayla Uriatul Ulfa — Tue, 30 Jun 2026 00:00:00 +0000

The sustainability of distribution activities has become increasingly important for improving supply chain performance in soybean-processing SMEs. However, many SMEs still lack a structured performance measurement system that integrates economic, environmental, and social aspects. This study aimed to develop a sustainability-based Key Performance Indicator (KPI) framework to assess distribution performance and improve supply chains for soybean-processing SMEs in Batam City, Indonesia. A quantitative case study approach was employed, using the Triple Bottom Line (TBL) concept, the Delphi method, and the Analytic Hierarchy Process (AHP). The results identified and validated 18 KPIs, comprising 6 economic, 6 environmental, and 6 social indicators. AHP analysis revealed that the Economic dimension received the highest weight (0.52), followed by the Environmental (0.29) and Social (0.19) dimensions. At the indicator level, Order Fulfillment Rate (0.109) and Delivery Reliability (0.109) achieved the highest global weights, followed by On-Time Delivery (0.104) and Carbon Emission (0.087). The consistency test yielded a CR value of 0.062, indicating reliable expert judgments. The proposed framework provides a practical tool for evaluating distribution performance, identifying improvement priorities, and supporting sustainable supply chain development in soybean-processing SMEs.

Developing an Integrated Risk Management and Circular Economy Model for Enhancing Resilience and Sustainable Competitiveness of Agroindustrial SMEs

Yan Herdianzah, Riska Iva Riana , A Dwi Wahyuni P, Anisa Sye, Muh. Rendy Juhari — Tue, 30 Jun 2026 00:00:00 +0000

This study aims to develop and validate an integrated Risk Management (RM) and Circular Economy (CE) model for enhancing SME Resilience (SR) and Sustainable Competitiveness (SC) in agroindustrial SMEs. The research employed a mixed-methods approach involving observations, interviews, Focus Group Discussions (FGD), and questionnaire surveys conducted on 157 respondents from agroindustrial SMEs producing banana chips in East Luwu, Indonesia. Data analysis was performed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results revealed that RM positively affects SR with a path coefficient of 0.384, while CE demonstrated the strongest influence on SR with a coefficient of 0.451. Furthermore, SR significantly influenced SC with a coefficient value of 0.612. Mediation analysis confirmed that SR significantly mediates the relationships between RM and SC (0.235) as well as CE and SC (0.276). The findings indicate that integrated risk management and circular economy practices improve operational adaptability, sustainability, and long-term competitiveness in agroindustrial SMEs.

Occupational Health and Safety (OHS) Risk Control Analysis at a Tofu Factory Using the Job Safety Analysis (JSA) Method

Tue, 30 Jun 2026 00:00:00 +0000

Tahu Bintang Salma Factory is a company engaged in the tofu manufacturing industry. The factory continuously faces occupational accident issues in the form of blistered skin, itchy skin, eye irritation, and sprained feet, all of which disrupt the production process. This study identifies work accidents occurring at Tahu Bintang Salma Factory and proposes occupational health and safety (OHS) control methods to address these problems. Data were collected and processed using the Job Safety Analysis (JSA) method. Results revealed eleven potential hazards: spinal pain, bruised hands, bruised feet, sprained feet, tailbone injury, blistered skin, eye irritation, reddened skin, skin irritation (itching), bruised fingers, and hand lacerations. These risks were categorized into four levels: six low-risk, three moderate-risk, and two high-risk incidents. Control measures including administrative controls, personal protective equipment (PPE), and substitution were proposed to mitigate or reduce the potential for workplace accidents.