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All Journal TEKMAPRO Journal of Industrial Engineering and Management OPSI Jurnal Ilmiah Teknik Industri Tekinfo | Scientific Journal of Industrial and Information Engineering Conference SENATIK STT Adisutjipto Yogyakarta Jurnal Teknik Informatika dan Elektro (JURTIE) Applied Quantitative Analysis (AQA) Jurnal Rekayasa Proses dan Industri Terapan Green Engineering: Journal of Engineering and Applied Science KREATIF: Jurnal Pengabdian Masyarakat Nusantara
Irwan Soejanto
Jurusan Teknik Industri, Fakultas Teknik Industri Universitas Pembangunan Nasional ”Veteran” Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences

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A hybrid Genetic Algorithm and Fuzzy Logic approach to ergonomic design of workstations in metal casting operations Berlianty, Intan; Soejanto, Irwan; Titisariwati, Indun; Putra, Favian Ersanta Andhika; Utami, Wahyu Tri; Insani, Mohamad Kamil
OPSI Vol 17 No 2 (2024): ISSN 1693-2102
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v17i2.13943

Abstract

The metal casting industry faces significant challenges in balancing productivity with worker safety and well-being. Hazardous working conditions, including high temperatures, exposure to gases, and repetitive motions, increase the risk of injuries and fatigue. 1 This study proposes a novel hybrid approach that integrates Genetic Algorithm (GA) and Fuzzy Logic (FL) to optimize workstation ergonomics. The system utilizes real-time data from sensors to evaluate ergonomic factors such as worker posture, fatigue levels, and environmental conditions. Fuzzy Logic processes this data, while GA optimizes the system's parameters for enhanced accuracy and adaptability. Experimental results demonstrated significant improvements, including a 25% reduction in worker fatigue, a 30% improvement in air quality compliance, and a 35% decrease in ergonomic risks. Real-time adjustments, such as desk height modifications and improved ventilation, effectively enhanced worker safety and comfort. This innovative approach offers a scalable and reliable solution for improving ergonomics in dynamic industrial environments, contributing to both worker well-being and operational efficiency. Future research could further enhance the system by incorporating machine learning for improved predictive capabilities and expanded optimization of ergonomic parameters.
Large neighborhood search for route and fleet optimization in frozen food distribution Simbolon, Jonathan Andrepa; Trismi Ristyowati; Soepardi, Apriani; Irwan Soejanto; Yuli dwi Astanti; Puryani; Chaeron, Mochammad
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.15743

Abstract

This study develops an optimization model to enhance the distribution efficiency of a frozen food distributor. The company faces operational inefficiencies due to excessive fleet capacity and conventional route assignment methods, which increase travel distances and overall distribution costs. To address these challenges, an extended Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) model is proposed, which integrates heterogeneous fleet characteristics and prioritizes customer service constraints. The model is solved using the Large Neighborhood Search (LNS) metaheuristic to determine optimal routing and fleet allocation strategies. The optimized model achieves a 15.95% reduction in total travel distance and a 21.84% decrease in total distribution costs compared with the company’s current operations. The findings confirm the effectiveness of the LNS-based CVRPTW approach in improving logistics performance and provide practical insights for companies seeking to minimize distribution costs through strategic route planning and fleet management.
Co-Authors Agus Hardiyanto Aji Tulus Jatmiko Andana Dwi Aprilia Rakadiputra Apriani Soepardi Dyah Rachmawati Lucitasari Eflita Win Zahri Farah Amalia Fajri Indun Titisariwati Indun Titisariwati, Indun Insani, Mohamad Kamil Intan Berlianty Intan Berlianty Intan Berlianty Intan Berlianty Intan Berlianty Intan Berlianty MIFTAHOL ARIFIN, MIFTAHOL Mochammad Chaeron Muhammad Irvan Dwi Putra Novri Yohannes Harianja Nursubiyantoro, Eko Poerbaningrat, Raden Muhammad Nalindra Prangawayu, Nur Pratama, Ferdiansyah Aji Puryani Puryani . Putra, Favian Ersanta Andhika Simbolon, Jonathan Andrepa Trismi Ristyowati Trismi Ristyowati Wahyu Tri Utami Widya Margi Putra Awalu Widya Nurul Shofa Yuli Dwi Astanti