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All Journal Jurnal Rekayasa Sistem Industri OPSI Journal Industrial Servicess Jurnal Ilmiah Teknik Industri PERFORMA : Media Ilmiah Teknik Industri Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Go-Integratif : Jurnal Teknik Sistem dan Industri JURNAL TEKNIK INDUSTRI Journal of Integrated System
Santoso Santoso
Bachelor Program In Industrial Engineering, Universitas Kristen Maranatha
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation

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Journal : OPSI

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Facility Layout Design of New Warehouse and Implementation of Multi-Criteria Decision Making for Product Allocation at PT XYZ Viter Pranata; Santoso Santoso
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.v15i1.6684

Abstract

As the company's business grows, there product distribution network will increase. This will cause distribution costs to be increase. Therefore, the company decided to build a new warehouse in order to increase the efficiency of distribution costs. This new warehouse will use two storage systems, those are racking system and floor storage, so it need to design a good layout so that the space provided can be used effectively and efficiently. A dedicated storage policy is used to make workers easier to find products so that the time of product retrieval is faster. Another thing to consider is the proper allocation of products because this can affect the total distance of product movement which can also affect the time of product retrieval. In this study, multi-criteria decision making (MCDM) will be used to determine which product will be the main priority to be placed near the inbound/outbound (I/O). Furthermore, we will consider supporting facilities so that warehousing activities can run well where the preparation of each facility will use the activity relationship chart (ARC).
Determination of Distribution Center Location using Analysis of Time-Based Set Covering Model and Maximal Covering Model Analysis Rainisa Maini Heryanto; Santoso Santoso
OPSI Vol 16, No 1 (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.v16i1.8760

Abstract

The distribution or delivery process is one factor that affect customer satisfaction as the goal of supply chain. In order for supply chain to be competitive in competition, delivery time is an important factor to manage, so that it could provide high service level value. One factor that could affects distribution or delivery is distribution center location. A strategic distribution center location would facilitate and speed up distribution process. This research discusses model for determining location of distribution center so that delivery could be made at the right amount and in the right time by analyzing of time-based using set covering model and maximal covering model. The numerical example in this research is case study on paint supply chain in Bandung which has a number of delivering clusters. Each cluster consists of a number of building material stores which are located scattered. There is one cluster that has problems in fulfilling demands and delivery times. The analysis made could be used to determine the distribution center location so that it could serve all consumer demands. Based on the calculation results, it was found that there were two distribution center locations. Two distribution centers could fulfill the objective function of cost minimization and satisfy all demands. The results of the sensitivity analysis show that there are several factors that influence the determination of location number.
Co-Authors Andi Steven Indrawan Anggie Ervany Haryono Arjuna Arjuna Christophorus Ivander Menori David Try Liputra Erwani Merry Sartika Grace Vania Gratia Melina Sari Jessica Oktaviani Rustandi Kartika Suhada Kevin Hidayat Laksono Trisnantoro Nadya Ariella Susanto Rainisa Maini Heryanto Rudy Wawolumaja Rudy Wawolumaja Rudy Wawolumaja Vania Carolina Viter Pranata Vivi Arisandhy Wawan Yudiantyo, Wawan Winda Halim Yeremia Timotius