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INDONESIA
Journal of Engineering and Management in Industrial System
Published by Universitas Brawijaya
ISSN : 23383925     EISSN : 24776025     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Journal of Engineering and Management in Industrial System is a peer reviewed journal. The journal publishes original papers at the forefront of industrial and system engineering research, covering theoretical modeling, inventory, logistics, optimizations methods, artificial intelligence, bioscience industry and their applications, etc.
Arjuna Subject : -
Articles 216 Documents
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ASSESSING ENVIRONMENTAL IMPACTS AND CIRCULARITY POTENTIAL IN BEEF PROCESSING USING LIFE CYCLE ASSESSMENT Prathama, Kevin Aditya; Tama, ishardita Pambudi; Kusumaningdyah, Widha
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

This study explores the environmental impact of beef processing operations in Surabaya, Indonesia, through the integration of Circular Economy (CE) principles and the Life Cycle Assessment (LCA) method. The analysis focuses on one of the largest slaughterhouses in East Java, examining four main stages: cattle reception, slaughtering, meat processing, and packaging. Using the ReCiPe 2016 Midpoint (H) method within OpenLCA software and the ELCD database, the study evaluates material and energy flows per functional unit of 1 metric ton of beef. The results reveal that the system is heavily dependent on fossil-based electricity and water resources, with significant greenhouse gas emissions, high freshwater usage, and unmanaged organic waste. The Global Warming Potential (GWP) category recorded the highest environmental impact, followed by fossil resource scarcity and terrestrial ecotoxicity. Waste management practices remain linear, with limited reuse or recycling efforts, while solid and liquid wastes are discharged without internal recovery processes. Benchmarking shows a considerable gap in sustainability performance compared to developed countries. The findings underscore the need for technological improvements, such as anaerobic digestion, renewable energy integration, and material recovery strategies. Implementing circular economy interventions would not only reduce environmental burdens but also add economic value through by-product utilization. This study offers critical insights for improving sustainability and resource efficiency in Indonesia’s beef industry by transitioning from linear to circular production models.
TUNA SUPPLY CHAIN RISK ANALYSIS IN THE BANDA NEIRA ISLANDS Sahar, Dian Pratiwi; Afifudin, Mohammad Thezar
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

The Banda Sea waters contribute significantly to tuna production in Maluku. The fishing community of the Banda Neira Islands uses this zone as their main source of income. This significant contribution needs to be supported by development efforts through research and innovation. Until now, research on the tuna supply chain from the Banda Neira archipelago is particularly rare. This research seeks to provide comprehensive, micro-level information on the mapping of tuna supply chain risks in Indonesia, particularly in Maluku, that has been reviewed by several researchers. Several supply chain risk management (SCRM) methods, including 5-why analysis, supply chain risk identification (SCRI), and house of risk (HOR), were used in this study. The results indicate that the actors involved in the Banda Neira tuna supply chain include fishermen, cold storage, ship plan, and miniplan. Fishermen play a role in fishing operations, while cold storage, ship plan, and miniplan serve as buyers, processors, and ship plans/distributors to other regions. In the tuna supply chain, 11 risk events were identified, caused by 23 risk agents/factors. The two highest-ranking factors, in order of highest risk, were the lack of ice availability and high operational costs. Both factors had a cumulative percentage ratio of aggregate risk potential reaching 55.33%. This indicates that the tuna supply chain in the Banda Neira is still influenced by the performance of fishing operations (fishermen). To mitigate the 11 risk events, 22 preventive measures/actions are required.
A SYSTEMATIC LITERATURE REVIEW TO A CONCEPTUAL FRAMEWORK FOR GREEN SUPPLY CHAIN MANAGEMENT EVALUTION OF PLTU Aprilisia T, Nita; Sumantri, Yeni; Himawan, Rakhmat
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Green Supply Chain Management (GSCM) is a strategic approach that integrates sustainability principles in the supply chain to minimize negative impacts on the environment. GSCM performance measurement still faces challenges, especially in determining the most relevant indicators. This study aims to analyze various GSCM performance indicators based on a review of 20 previous studies. The method used is a systematic literature study, by reviewing objects, analysis methods, and results obtained from various studies. The results show that Environmental Performance, Supply Chain Sustainability, and Operational Performance are the main focus in the implementation of GSCM. In addition, Economic/Financial Performance, Logistics Performance, and Regulatory Compliance also play an important role in improving efficiency and industry compliance with regulations. Various analytical methods such as Fuzzy-DEMATEL, Analytic Network Process (ANP), and Data Envelopment Analysis (DEA) were used in previous studies. Therefore, a holistic, system-based approach is needed to optimize GSCM implementation in various industrial sectors.  
INTEGRATION OF NUDGING-BASED KANSEI ENGINEERING AND HUMAN-CENTERED DESIGN: A CONCEPTUAL FRAMEWORK IN HEALTHCARE SERVICE Hartono, Markus
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

This study presents a conceptual framework for the modification of Kansei Engineering (KE), incorporating nudging-enabled features with human-centered design (represented by Design Thinking (DT) methodology) principles applied in healthcare services. Kansei Engineering (KE) and Nudge Theory (NT) have a similar goal of influencing and directing users’ behavior and intentions based on the fulfillment of their critical needs. KE focuses on translating customer emotional needs into design parameters, whereas NT stresses changing customer behavior using indirect instructions and positive reinforcements. Once emotional satisfaction is obtained, it is hoped that positive behavior will be promoted. Addressing customers' emotional demands combined with nudge-based features in patients’s healthcare service experiences is a strategic necessity that can result in considerable commercial benefits. Healthcare that creates positive emotional connections can improve patient happiness, inspire loyalty, and build a strong, differentiated brand in a competitive environment. More importantly, it may boost patient recovery rates and promote more sustainability practices in hospitals or healthcare domains for a long-term period. Hence, this study introduces a novel integrated framework that combines KE, NT, and DT to align emotional satisfaction with behavioral outcomes in healthcare service design, particularly in developing emotionally and behaviorally supportive strategies for non-critical patient care.
OPTIMIZING SUPPLY CHAIN STRATEGIES THROUGH COMPETITION BETWEEN LOCAL AND EXTERNAL SUPPLIERS salsabila, Dhia Naqqiya; Debrina Puspita Andriani; Rakhmat Himawan
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

This study analyzes the optimization of supply chain strategies in the context of competitive interactions between local and external suppliers within the souvenir food retail industry in Indonesia. Motivated by increasing demand due to tourism growth and supply uncertainties in traditional sourcing, this research develops a two-echelon game-theoretic supply chain model involving one manufacturer and two suppliers. The study incorporates three competition scenarios: a Stackelberg game with the local supplier as leader, a Stackelberg game with the external supplier as leader, and a Nash game where both suppliers act simultaneously. The model considers yield uncertainty in production and consumer preference for product quality, which affects demand and pricing decisions. The manufacturer’s learning cost from using unfamiliar external materials is also modeled. Analytical solutions are derived using backward induction and equilibrium analysis, and numerical simulations are conducted based on real data from coconut sourcing in West Java. The results show that supplier leadership significantly affects wholesale pricing and procurement decisions. Moreover, increasing consumer preference for quality enhances the competitiveness of external suppliers but raises procurement and learning costs. The Nash scenario provides a balanced outcome, while Stackelberg scenarios yield more favorable results depending on the dominant supplier. This research contributes to supply chain theory by incorporating consumer preference, learning cost, and yield uncertainty in a game-theoretic framework. Practically, it offers strategic recommendations for manufacturers to diversify supply and improve resilience in response to demand volatility and market competition.
INITIAL SOLUTION STRATEGIES FOR SIMULATED ANNEALING IN TWO-ECHELON OPEN LOCATION ROUTING PROBLEMS winarno; Redi, Anak Agung Ngurah Perwira
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Two-Echelon Open Location Routing Problem (2EOLRP) is a logistics problem model that combines two levels of distribution, namely the main distribution center (depot) and Secondary Distribution Centers (SDCs) which then serve customers. Vehicles available at the depot serve product requests from SDCs, while vehicles available at SDCs serve end customers. This paper presents a comparative analysis of two initial solution construction methods, Random Search (RS) and Nearest Neighbor Search (NNS), combined with a Simulated Annealing (SA) algorithm to solve the 2EOLRP. The quality of the starting solutions plays a key role in enhancing metaheuristic performance, including SA. We evaluate both methods based on their solution quality and computational efficiency. Benchmark datasets adapted from well-known Two-Echelon Location Routing Problem (2ELRP) instances are used for testing. The experimental results demonstrate that NNS generally provides better initial solutions leading to improved final results, while RS offers faster computational times. The findings offer valuable insights into the impact of initialization strategies on the overall performance of SA in two-echelon distribution systems.

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