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Inventory Policy Control Using a Continuous Review Model Based on Information Systems: A Case Study in a Restaurant Industry Ichsan Sarafi; Laila Nafisah; Ahmad Muhsin
OPSI Vol 14, No 2 (2021): 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.v14i2.5330

The development of information technology has become a necessity for every company, one of which is the optimization of inventory planning. The joint warehouse owned by the Chickenpedia Restaurant which has to supply various types of raw materials to the three restaurant branches often experiences stock outs and has to make emergency orders resulting in losses. For this reason, it is necessary to control the inventory of raw materials in the shared warehouse so that stock outs can be overcome and losses that arise can be minimized. One of them is by using the Continuous Review method. By using this method, the optimal order quantity and reorder point will be obtained. The weakness is iterative calculation and monitoring of raw material stock manually. For this reason, it is necessary to support an information system to speed up and make it easier to calculate when to place an order and how many orders of raw materials to suppliers so as to reduce the occurrence of running out of raw materials. The Information System can also monitor the stock of raw materials every day in real time based on the number of incoming and outgoing goods that enter the application.

Peningkatan Hasil Produksi melalui Pemanfaatan Alat Pendingin Kue Lapis Double Fan Pada Kelompok Usaha Makanan Ringan “ASIH” Dusun Kwasen Desa Srimartani Kecamatan Piyungan Kabupaten Bantul Yogyakarta Laila Nafisah; Ahmad Muhsin
OPSI Vol 10, No 2 (2017): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Kelompok usaha “ASIH” merupakan salah satu bentuk usaha warga yang terdiri dari 7 keluarga yang memproduksi berbagai macam makanan untuk keperluan hajatan dan lain sebaginya khususnya pembuatan kue lapis basah. Kelompok Usaha “ASIH” memproduksi kue lapis yang dipasarkan dengan 2 cara untuk memenuhi permintaaan konsumen yaitu melalui pasar tradisional setiap pagi dan menerima pesanan dari warga. Kue lapis yang dihasilkan juga sering dipesan untuk keperluan hidangan dalam berbagi keperluan hajat warga seperti pernikahan, pertemuan warga, pengajian, maupun pesta lain. Penerimaan pesanan yang banyak yang datang dari berbagai kalangan menjadi keuntungan namun juga menjadi kendala. Banyaknya pesanan tidak serta merta dapat diterima karena beberapa keterbatasan, diantaranya adalah keterbatan alat produksi.Proses produksi dalam pembuatan kue lapis yang memerlukan waktu lama, sekitar 12 jam menjadi salah satu pertimbangan terhadap beberapa permintaan yang datang akan diterima atau tidak, disamping jumlah pesanan yang diminta. Lamanya waktu produksi membatasi kemampuan jumlah produksi dalam setiap harinya. Pesanan yang dijadwalkan akan diambil oleh pembeli pada esok pagi hari maka mulai pengerjaannya sudah dilakukan sejak sore hari sebelumnya. Waktu paling lama dalam proses pembuatan kue lapis sejak persiapan bahan baku sampai tahap pengemasan terletak pada proses pendinginan yang memakan waktu lama kurang lebih 7 jam. Proses pendinginan dilakukan secara manual dengan cara diangin-anginkan sampai suhu turun dan menjadi dingin, kue lapis akan mengeras sehingga dapat dipotong-potong kemudian dikemas sesuai ukuran permintaan konsumen Teknologi yang diberikan pada kegiatan pengabdian masyarakat yang di Kelompok Usaha “ ASIH” Dusun Kwasen adalah perancangan alat pendingin kue lapis dengan menggunakan Double Fan. Alat ini bertujuan untuk mempercepat proses pendinginan pada proses produksi kue lapis yang sebelumnya hanya mengandalkan pendinginan manual. Prinsip kerja alat pendingin kue lapis adalah dengan memasang motor penggerak yang akan memutarkan baling-baling sehingga menghasilkan perputaran angina. Angin yang diambil dari luar dan kemudian dialirkan kedalam ruang alat pendingin yang dirancang khusus untuk pendinginan kue lapis agar dihasilkan pendinginan yang merata. Perputaran angin dapat diatur kecepatan dan penggunaannya dalam ruang lain, hal ini untuk menghemat penggunaan daya listrik.

PENDEKATAN THEORY OF CONSTRAINTS (TOC) PENJADWALAN FLOW SHOP PADA SISTEM PRODUKSI MAKE TO ORDER Hera Rianti; Laila Nafisah; Eko Nursubiyantoro
OPSI Vol 12, No 1 (2019): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

CV Putra Kilau Lampuan adalah erusahaan percetakan yang memproduksi buku, majalah, packaging, dan undangan. Sistem produksi yang diterapkan berbasis Make To Order (MTO) dengan pola aliran proses produksi bersifat flow shop. Perusahaan dihadapkan pada kendala banyaknya Work In Process (WIP) dengan kapasitas stasiun kerja yang terbatas, sehingga dapat menghambat aliran produksi dan waktu penyelesaian menjadi besar. Penelitian menggunakan metode penjadwalan drum buffer rope dengan konsep pendekatan Theory of Constraints (TOC) yang berfokus kepada pemanfaatan stasiun kerja bottleneck. Penjadwalan dimulai dari stasiun kerja bottleneck, kemudian baru dilakukan pada stasiun kerja non bottleneck. Penjadwalan pada stasiun kerja non bottleneck sebelum stasiun kerja bottleneck dilakukan secara backward, sedangkan stasiun kerja non bottleneck setelah stasiun kerja bottleneck dilakukan secara forward. Hasil dari penelitian ini yaitu diperoleh stasiun kerja penyusunan kertas isi (SK 10) terjadi bottleneck. Penjadwalan produksi berdasarkan stasiun kerja bottleneck menghasilkan urutan order dari stasiun kerja 1 sampai stasiun kerja 13 dengan makespan sebesar 26,215 hari. Makespan tersebut lebih singkat dibandingkan dengan makespan perusahaan yang besarnya 30,041 hari.

Simulasi Sistem Dinamis Bahan Pangan Tambahan Guna Pemenuhan Kebutuhan Konsumen dan Peningkatan Keuntungan Petani Yuli Dwi Astanti; Reiza Novita Putri; Laila Nafisah
OPSI Vol 15, No 1 (2022): 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.v15i1.5403

Shallots (Allium cepa var ascalonicum L.) is one of the most popular food additives in Indonesia. These ingredients are used to add flavor to Indonesian cuisine. The increase in community needs caused by the increase in population has an impact on increasing the demand for shallots every year. This increase also occurred in Bantul Regency. The demand for shallots in Bantul is not accompanied by a balance in the amount of supply obtained from shallot-producing areas. This is because most farmers in Bantul Regency only plant shallots in the dry season. Therefore, this study seeks to propose how to balance the supply of shallots by farmers with market demand to increase farmers' profits. This study uses a dynamic system simulation approach with the help of Powersim studio 9 software. The first step is to build a Causal Loop Diagram (CLD) to see the causal or reciprocal relationship between variances and stock-flow diagrams to compile a mathematical formulation of the system model. dynamic. The simulation results are then validated to determine the credibility of the model. After the model is declared valid, 3 (three) scenarios of implementing the strategy in the shallot supply chain model will be generated. The best model scenario simulation results are scenario 1 (one), namely by replacing the use of tuber seeds in all activities.

Fuzzy Production Inventory Model considering Imperfect Quality and Shortage: A Case Study in a Goat Milk SMEs Puryani Puryani; Laila Nafisah; Nuansa Indriya Pramasthi; Apriani Soepardi; Mohammad Chaeron
OPSI Vol 15, No 2 (2022): 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.v15i2.7574

Goat milk powder is one of the perishable processed products. The decreasing quality of goat milk powder can cause financial losses to the company if not regulated properly. So far, the company is also faced with the problem of consumer demand uncertainty. When demand for powdered goat's milk is high, the company experiences stockout but can be overcome by backorder. When demand is low, there will be overstock. Overstock conditions, in addition to causing high holding costs, are also at risk of product quality degradation or expiration. In this study, an inventory model of goat milk powder was developed that considers the uncertainty of demand, product quality, and backorder to determine the optimal production quantity so that the total inventory cost incurred is minimum. The basic model used is economic production quantity. Uncertainty in demand and the percentage of products declining in quality is approached using a triangular fuzzy. While the defuzzification technique used is signed distance.

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

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.

Optimizing multi-item EPQ under defect and rework: A case in the plastic molding industry Nafisah, Laila; Sinaga, Rika Apriyanti Magdalena; Soepardi, Apriani; Salma, Melati; Irianto , Irianto
OPSI Vol 18 No 1 (2025): OPSI - June 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.v18i1.14740

Product availability is a key indicator of service performance and is closely linked to production planning. Inaccurate decisions in lot sizing may lead to either overstock or stockout, resulting in substantial financial losses. Classical Economic Production Quantity (EPQ) models generally assume perfect quality and ignore real-world factor such as defects, rework, and backorders. This study proposes an extended EPQ model for multi-item production systems that integrates random defect rates, rework, and backordering within a single framework. Unlike previous studies that focus on single-item scenarios or deterministic defect rates, this model reflects a more realistic setting faced by companies by accounting for stochastic defects, the cost of crushing and rework, and customer backorder fulfillment. The model aims to determine the optimal lot size and production cycle that minimize the total inventory-related costs. The proposed model is validated using real case data from a plastic molding company. Results show that the model yields cost savings of 0.19% compared to the current company policy. Although modest, these savings are significant when scaled across production periods. More importantly, the model demonstrates strong adaptability to operational constraints and provides a practical decision-support tool for industries managing multiple products, quality variation, and uncertain demand.

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

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

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.

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