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All Journal Jurnal Pembangunan Wilayah dan Kota OPSI Jurnal Ilmiah Teknik Industri
Mochammad Chaeron
Fakultas Teknologi Industri, Jurusan Teknik Industri, Univer-sitas Pembangunan Nasional Veteran Yogjakarta. Jl. Babarsari 2 Tambakbayan, Yogjakarta 55281.
Civil Engineering, Building, Construction & Architecture Industrial & Manufacturing Engineering

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Journal : OPSI

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Multi objective optimization approach for multi-item inventory control: A case study in leather industry Nafisah, Laila; Prasetyo, Gigih Jono; Nursubiyantoro, Eko; Chaeron, Mochammad; Soepardi, Apriani; Suharsih, Sri
OPSI Vol 17, No 1 (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.v17i1.11106

Abstract

PT ASA is a leather tanning company. Almost 65% of the company's assets are allocated for the procurement of raw leather, which consists of goat and sheepskin. In addition to being expensive, the availability of raw leather is also very limited. The company faces a trade-off where, on one hand, the raw material is easily decayed, but on the other hand, its availability is extremely limited, and if there is not enough inventory, the production process will be disrupted. In this research, a multi-objective optimization model is developed for controlling the inventory of raw leather using the Fuzzy Goal Programming approach. The objectives to be achieved are to minimize the total inventory cost, maximize the total quantity of raw leather that meets standards, and minimize the total cost of losses due to decayed raw leather. Based on the calculations, the fuzzy goal programming membership function value is obtained at 0.9155, with a total inventory cost over the planning horizon of IDR 10,341,630,000, a total of 1,279,542 sq ft of raw leather meeting standards, and a total loss cost due to decayed raw leather of IDR 142,911,691.
Multi objective optimization approach for multi-item inventory control: A case study in leather industry Nafisah, Laila; Prasetyo, Gigih Jono; Nursubiyantoro, Eko; Chaeron, Mochammad; Soepardi, Apriani; Suharsih, Sri
OPSI Vol 17 No 1 (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.v17i1.11106

Abstract

PT ASA is a leather tanning company. Almost 65% of the company's assets are allocated for the procurement of raw leather, which consists of goat and sheepskin. In addition to being expensive, the availability of raw leather is also very limited. The company faces a trade-off where, on one hand, the raw material is easily decayed, but on the other hand, its availability is extremely limited, and if there is not enough inventory, the production process will be disrupted. In this research, a multi-objective optimization model is developed for controlling the inventory of raw leather using the Fuzzy Goal Programming approach. The objectives to be achieved are to minimize the total inventory cost, maximize the total quantity of raw leather that meets standards, and minimize the total cost of losses due to decayed raw leather. Based on the calculations, the fuzzy goal programming membership function value is obtained at 0.9155, with a total inventory cost over the planning horizon of IDR 10,341,630,000, a total of 1,279,542 sq ft of raw leather meeting standards, and a total loss cost due to decayed raw leather of IDR 142,911,691.
Improving the job shop scheduling algorithm to minimize total penalty costs considering maintenance activity Puryani, Puryani; Chalida, Nurmalia; Soepardi, Apriani; Chaeron, Mochammad; Nafisah, Laila
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.v17i2.12291

Abstract

Production scheduling is generally based on the assumption that resources are always available. In reality, these resources, machines, and supporting facilities experience limited availability due to interruptions during the production process. Therefore, to improve these conditions, the maintenance process conducted to reduce the disruption level of the machine needs to be scheduled as part of the available for job processing leading to penalty costs, such as tardiness and earliness. This research aims to develop a new algorithm to solve job shop scheduling problems to minimize the total penalty cost by considering machine unavailability due to scheduled maintenance activities. The proposed model modifies the existing model using a combination of priority rules and a heuristic approach algorithm known as priority dispatching. The result showed that the proposed model produces a greater total cost with a larger flow time than the previous model. Although the flow time is larger, it is more realistic according to real conditions because the proposed model considers machine maintenance activities. Furthermore, the combination of priority rules used also affected the flow time and the total penalty costs incurred, which can be minimized through several alternatives.
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 Algary, Tissia Ayu Apriani Soepardi Chalida, Nurmalia Dian Hudawan Santoso Irwan Soejanto Isti Anggraini Laila Nafisah Nursubiyantoro, Eko Prasetyo, Gigih Jono Puryani Puryani . Simbolon, Jonathan Andrepa Sri Suharsih Trismi Ristyowati Wahyuaji, Budi Saputro Yuli Dwi Astanti