Apriani Soepardi
Department Of Industrial Engineering, Faculty Of Industrial Engineering, Universitas Pembangunan Nasional “Veteran” Yogyakarta, Jl. Babarsari No. 2 Tambakbayan Yogyakarta, 55282

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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.
Redesign of the sizing process optimization to produce warp yarn with strong weaving ability Kartika, Wahyu; Soepardi, Apriani
OPSI Vol 16 No 2 (2023): 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.v16i2.11355

Abstract

The research focuses on optimization of the sizing process parameters for cotton warp yarn material. The sizing process is a crucial step where warp yarn is coated with a starch solution before weaving. The aim is to produce warp yarn with strong weaving ability, thereby facilitating the entire process. To achieve this, several factors are considered, namely the steam bar, and squeeze roll pressure, including machine speed. The techniques used to address this issue include Taguchi in collaboration with Grey Relational Analysis (GRA) to effectively address multi-responses. In this analysis, the larger the better characteristic was applied to S/N Ratio, indicating that the higher the GRG value, the closer it is to the desired optimum condition. Based on the calculations from S/N Ratio response table for the GRG, it can be determined that factor steam bar pressure was selected at 4 Bar, with an average S/N Ratio value of -2.935. factor squeeze roll should be set to level 10 Km/m3, as it yields an average S/N Ratio value of -2.912. Factors squeeze roll) and C (Machine Speed) were selected at levels 2 (10 Km/m3) and 1 (45 M/Min) with average values of -2.912, and -4.771, respectively. 
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.
IMPLEMENTASI MESIN PENEBAR DAN PERATA YANG ERGONOMIS UNTUK MENINGKATKAN KESEHATAN KERJA DAN PRODUKTIVITAS UKM TEPUNG UMBI Praja, Siti Aqilla Sayyidha Winata; Berlianty, Intan; Soepardi, Apriani; Nafisah, Laila; Puryani, Puryani; Chaeron, Mochamad
MAJU : Indonesian Journal of Community Empowerment Vol. 3 No. 1 (2026): MAJU : Indonesian Journal of Community Empowerment, January 2026
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/maju.v3i1.2334

Abstract

Small and medium enterprises in flour processing still rely heavily on manual drying processes, which pose high risks of musculoskeletal disorders and low productivity. This community service program aimed to implement an ergonomically designed spreading and leveling machine to improve working posture and production performance at Kusuka Ubiku SME in Bantul Regency. The program was conducted through problem identification, assessment of workers’ physical complaints using the Nordic Body Map, posture risk analysis using Rapid Entire Body Assessment, ergonomic machine design based on anthropometric data through the Need–Idea–Decision–Action approach, followed by on-site implementation and mentoring. The results show a significant reduction in posture risk from a high-risk category to a low-risk category and an increase in worker productivity by 53.6 percent. These findings demonstrate that the application of ergonomics-based appropriate technology effectively enhances occupational health and operational efficiency in food-processing SMEs.
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.
Analisis Variasi Parameter terhadap Optimasi Produksi Bakso dengan Pendekatan Metode Interior-Point Pradjaningsih, Agustina; Islamiyah, Syayidah Umrotul; Santoso, Kiswara Agung; Soepardi, Apriani
Teorema: Teori dan Riset Matematika Vol 11, No 1 (2026): Maret
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/teorema.v11i1.20560

Abstract

UMKM Pentol Bakso Bu Nurus, bergerak di bidang produksi bakso beku dengan berbagai varian. Ketidakstabilan pasokan bahan baku dan tingginya kompetisi pasar mendorong perlunya penerapan optimasi guna memaksimalkan pemanfaatan sumber daya yang terbatas demi mencapai keuntungan tertinggi. Penelitian ini mengimplementasikan dua algoritma dari metode titik interior yaitu algoritma Affine Scaling dan Karmarkar dengan mempertimbangkan data seperti jenis produk, biaya produksi, takaran bahan, dan profit per unit. Analisis sensitivitas kemudian dilakukan untuk mengidentifikasi sejauh mana jumlah daging dapat berubah tanpa mempengaruhi solusi optimal. Hasil optimasi menunjukkan kedua algoritma memberikan peningkatan keuntungan sebesar 20,9%. Sedangkan dari analisis sensitivitas, diperoleh interval stabilitas untuk penggunaan daging, yakni 206.550 gram < b₂ ≤ 250.000 gram, di mana solusi optimal tidak berubah selama pasokan daging berada dalam rentang itu.