Spare Parts Supplier Selection Design: A Case Study of A Railway Company

Spare parts support is essential for rolling stock maintenance management. The current supplier selection model determines the selected supplier based on evaluating one aspect of the criteria (product aspect). The selection of suppliers with poor performance occurred between 2018-2020 related to the...

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Autores principales:	Robby Ady Asmara, Lien Herliani Kusumah
Formato:	article
Lenguaje:	EN ID
Publicado:	Universitas Andalas 2021
Materias:	supply chain management Industry HD2321-4730.9
Acceso en línea:	https://doaj.org/article/c22a768f8d3b4735af0e14dc417563ca
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spelling	oai:doaj.org-article:c22a768f8d3b4735af0e14dc417563ca2021-12-02T22:52:17ZSpare Parts Supplier Selection Design: A Case Study of A Railway Company2088-48422442-879510.25077/josi.v20.n2.p125-135.2021https://doaj.org/article/c22a768f8d3b4735af0e14dc417563ca2021-11-01T00:00:00Zhttp://josi.ft.unand.ac.id/index.php/josi/article/view/542https://doaj.org/toc/2088-4842https://doaj.org/toc/2442-8795Spare parts support is essential for rolling stock maintenance management. The current supplier selection model determines the selected supplier based on evaluating one aspect of the criteria (product aspect). The selection of suppliers with poor performance occurred between 2018-2020 related to the delivery of goods that exceeded the deadline and goods that did not meet specifications. The first objective of this research is to analyze and determine the relevant priority criteria for selecting suppliers of rolling stock spare parts for railway companies. The second objective is to determine the rolling stock spare parts supplier by using the evaluation criteria determined in the previous process. The method used in this research is the integration of the Fuzzy Delphi Method (FDM), Analytical Hierarchy Process (AHP), and Technique for Others Preference by Similarity to Ideal Solutions (TOPSIS). FDM is used to select important criteria for the selection of suppliers of rolling stock parts. AHP is used to assist in choosing various criteria through evaluation in determining the criteria's weight. TOPSIS is used to assess supplier ratings. A total of 13 criteria from 19 alternative criteria have been selected for railway companies, especially in selecting rolling stock spare parts suppliers. Furthermore, the selection becomes the basis for bidding. Finally, Supplier A is the supplier with the highest relative closeness value (0.591), followed by Supplier B (0.545), and the lowest is Supplier C (0.282).Robby Ady AsmaraLien Herliani KusumahUniversitas Andalasarticlesupply chain managementIndustryHD2321-4730.9ENIDJurnal Optimasi Sistem Industri, Vol 20, Iss 2, Pp 125-135 (2021)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	supply chain management Industry HD2321-4730.9
spellingShingle	supply chain management Industry HD2321-4730.9 Robby Ady Asmara Lien Herliani Kusumah Spare Parts Supplier Selection Design: A Case Study of A Railway Company
description	Spare parts support is essential for rolling stock maintenance management. The current supplier selection model determines the selected supplier based on evaluating one aspect of the criteria (product aspect). The selection of suppliers with poor performance occurred between 2018-2020 related to the delivery of goods that exceeded the deadline and goods that did not meet specifications. The first objective of this research is to analyze and determine the relevant priority criteria for selecting suppliers of rolling stock spare parts for railway companies. The second objective is to determine the rolling stock spare parts supplier by using the evaluation criteria determined in the previous process. The method used in this research is the integration of the Fuzzy Delphi Method (FDM), Analytical Hierarchy Process (AHP), and Technique for Others Preference by Similarity to Ideal Solutions (TOPSIS). FDM is used to select important criteria for the selection of suppliers of rolling stock parts. AHP is used to assist in choosing various criteria through evaluation in determining the criteria's weight. TOPSIS is used to assess supplier ratings. A total of 13 criteria from 19 alternative criteria have been selected for railway companies, especially in selecting rolling stock spare parts suppliers. Furthermore, the selection becomes the basis for bidding. Finally, Supplier A is the supplier with the highest relative closeness value (0.591), followed by Supplier B (0.545), and the lowest is Supplier C (0.282).
format	article
author	Robby Ady Asmara Lien Herliani Kusumah
author_facet	Robby Ady Asmara Lien Herliani Kusumah
author_sort	Robby Ady Asmara
title	Spare Parts Supplier Selection Design: A Case Study of A Railway Company
title_short	Spare Parts Supplier Selection Design: A Case Study of A Railway Company
title_full	Spare Parts Supplier Selection Design: A Case Study of A Railway Company
title_fullStr	Spare Parts Supplier Selection Design: A Case Study of A Railway Company
title_full_unstemmed	Spare Parts Supplier Selection Design: A Case Study of A Railway Company
title_sort	spare parts supplier selection design: a case study of a railway company
publisher	Universitas Andalas
publishDate	2021
url	https://doaj.org/article/c22a768f8d3b4735af0e14dc417563ca
work_keys_str_mv	AT robbyadyasmara sparepartssupplierselectiondesignacasestudyofarailwaycompany AT lienherlianikusumah sparepartssupplierselectiondesignacasestudyofarailwaycompany
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Spare Parts Supplier Selection Design: A Case Study of A Railway Company

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