11th Annual International Conference on Industrial Engineering and Operations Management

Supplier Selection using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Method: A Case Study

Nida An Khofiyah, Sulvi Fitriani, Syifa Luthfiana Asnan & Wahyudi Sutopo
Publisher: IEOM Society International
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Track: Operations Research
Abstract

Abstract

Selecting suppliers of goods for procurement becomes very complex because often a large number of criteria need to be considered and some of the criteria cannot be properly assessed. Fluctuations in supplier performance and unknown information are always in decision making. Choosing the right supplier can reduce operating costs, increase profitability and product quality, increase competitiveness in the market, and serve customers quickly. This study aims to propose a method that can facilitate practitioners to select suppliers logically and when uncertainty and/or unavailability of assessment information arises. We applied the multi-criteria decision making (MCDM) method to determine the best alternative from several alternatives based on certain criteria. The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is also used in several Multiple Attribute Decision Making (MADM) models because this method has several advantages, namely the concept is simple and easy to understand. This research was conducted at a raincoat manufacturing company, namely PT. Trijaya Plastik. The main ingredient in making raincoats is PVC (Polyvinyl Chloride). Due to the large number of suppliers who can provide goods, this study examines the selection of PVC suppliers for the company's main material. The result of normal TOPSIS calculations in supplying the main raw material or PVC is the second supplier, namely PT. Royal Lapastek by considering 4 criteria, namely price evaluation, condition of ordered goods, delivery time, and administrative evaluation.

Keywords

Procurement, TOPSIS, Supplier

Published in: 11th Annual International Conference on Industrial Engineering and Operations Management, Singapore, Singapore

Publisher: IEOM Society International
Date of Conference: March 7-11, 2021

ISBN: 978-1-7923-6124-1
ISSN/E-ISSN: 2169-8767