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All Journal OPSI Jurnal Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri JURTI Jurnal Teknik Industri
Apriani Soepardi
Fakultas Teknologi Industri, Jurusan Teknik Industri, Univer-sitas Pembangunan Nasional Veteran Yogjakarta. Jl. Babarsari 2 Tambakbayan, Yogjakarta 55281.
Industrial & Manufacturing Engineering Mechanical Engineering

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Development of a direction-parallel strategy for shorting a tool path in the triangular pocket machining Chaeron, Mochammad; Wahyuaji, Budi Saputro; Soepardi, Apriani
Jurnal Ilmiah Teknik Industri Vol. 18, No. 1, Juni 2019
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v18i1.7151

Abstract

The machining strategy is one of the parameters which practically influences the time of the different manufacturing geometric forms. The machining time directly relates to the machining efficiency of the tool paths. In area milling machining, there are two main types of the tool path strategies: a direction-parallel milling and a contour-parallel milling. Then a direction-parallel milling is apparently simple compared with a contour-parallel strategy. In this paper, we propose a new model of the direction-parallel machining strategy for triangular pockets in order to reduce the tool path length. We have developed an analytical model by appending additional the tool path segments to the basic tool path for cutting un-machined area or scallops, which remained along the boundary. To validate our results, we have compared them to the existing model that found in the literature. For illustrating the computation of this model, the study includes two numerical examples. The results show that the proposed analytic direction-parallel model can reduce the total length of machining. Thus, it can take a shorter time for milling machining.
Penentuan Kriteria Pemilihan Strategi Sistem Manufaktur Menggunakan Analytic Hierarchy Process Apriani Soepardi; Puryani .; Mochammad Chaeron; Isti Anggraini
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 14 No. 2 (2012): DECEMBER 2012
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (434.049 KB) | DOI: 10.9744/jti.14.2.107-114

Abstract

This paper presents the decision making process for the selection of criteria manufacturing system using AHP. The accuracy of the selection strategy is based on many criteria that termed as agility capabilities. Several influential criteria that is used in the selection are responsiveness, product quality, product cost, operator skills, and inventory. From these criteria, manufacturing responsiveness has the highest priority weight. On these criteria, the company cast metal is required to have the agility capabilities in reduction of lead-time for product development, new product introduction, and a wide variety of products. While the criteria for product quality takes places at second priority, followed by product cost, operator skill and inventory. From agility capability priorities that must be owned by the company of cast metal, the manufacturing system according to the characteristics of the organization and be able to respond appropriately to environmental changes is lean manufacturing system.
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. 
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.
Penentuan Rute dan Tarif Pengiriman Katering Berdasarkan Biaya Operasional Kendaraan Menggunakan Pendekatan Vehicle Routing Problem Afifah, Tasya; Astanti, Yuli Dwi; Soepardi, Apriani
Jurnal Teknik Industri Vol 4, No 1 (2025)
Publisher : Fakultas Teknologi Industri, UNISSULA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jurti.4.1.13-20

Abstract

Dalam aktivitas distribusi, terutama bagi UMKM seperti Nara Katering, penentuan rute merupakan aspek krusial yang memengaruhi biaya operasional dan kepuasan pelanggan. Penelitian ini mengusulkan pendekatan hybrid heuristic yang terdiri dari empat tahapan: pengklasteran, pengurutan rute, perbaikan rute, dan penentuan biaya operasional kendaraan. Tahap pengklasteran menggunakan algoritma sweep, sedangkan pengurutan rute menggunakan nearest insertion heuristic, dan perbaikan rute menggunakan algoritma 2-opt dengan dukungan MATLAB. Biaya operasional kendaraan dihitung berdasarkan standar Departemen Pekerjaan Umum 2005. Hasil penelitian menunjukkan peningkatan signifikan dalam efisiensi rute distribusi, dengan jarak tempuh yang lebih pendek sebesar 12,20% dibandingkan dengan rute aktual. Meskipun pengurutan rute berdasarkan algoritma nearest insertion heuristic sedikit lebih panjang dibandingkan dengan rute aktual, total biaya operasional kendaraan menunjukkan penghematan yang signifikan. Dua model sistem pengupahan dipertimbangkan: sistem pengupahan per titik dan sistem pengupahan dengan Upah Minimum Regional (UMR) per bulan. Sistem pengupahan per titik direkomendasikan karena memberikan keuntungan yang lebih besar bagi UMKM Nara Katering, dengan biaya operasional kendaraan sebesar Rp204.667,01/hari dan keuntungan Rp85.322,99/hari. Sementara itu, sistem pengupahan berdasarkan UMR per bulan menghasilkan total biaya operasional kendaraan sebesar Rp251.446,01/hari dengan keuntungan Rp38.553,99/hari. Rekomendasi ini didasarkan pada keuntungan yang lebih besar yang dapat diperoleh dengan sistem pengupahan per titik.
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

Abstract

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.
Co-Authors Afifah, Tasya Irianto , Irianto Isti Anggraini Isti Anggraini Kartika, Wahyu Laila Nafisah Mochammad Chaeron Mochammad Chaeron Nursubiyantoro, Eko Prasetyo, Gigih Jono Puryani . Salma, Melati Sinaga, Rika Apriyanti Magdalena Sri Suharsih Wahyuaji, Budi Saputro Yuli Dwi Astanti