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Market Basket Analysis with Equivalence Class Transformation Algorithm (ECLAT) For Inventory Management Using Economic Order Quantity (EOQ)

Ifa Fauziah, - and Muhammad Rizki, - and Misra Hartati, - and Nazaruddin, - and Fitriani Surayya Lubis, - and Fitra Lestari, - (2022) Market Basket Analysis with Equivalence Class Transformation Algorithm (ECLAT) For Inventory Management Using Economic Order Quantity (EOQ). "Proceedings of the 3rd South American International Industrial Engineering and Operations Management Conference, Asuncion, Paraguay, July 19-21, 2022", - (ID 315). pp. 1552-1561. ISSN 2169-8767

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Abstract

212 Mart is a retail that sells basic needs with guaranteed quality products, prices and a comfortable atmosphere. But over time, new competitors emerged. Therefore, strategies are needed to maintain the Retail business. There are problems in inventory management, namely the occurrence of vacancies or running out of goods which can cause consumers to turn to competitors to look for similar goods and will have an impact on decreasing sales. ECLAT and EOQ can be applied to this problem. ECLAT aims to find the most frequently purchased product combinations together, , while EOQ aims to find the number of goods to be ordered from the supplier so that orders can be made in optimal and economical quantities. The analysis is carried out using a sales transaction data set of 85,038 transactions in the 2021 period. The data was studied using the ECLAT algorithm with a minimum support of 0.1% getting 20 rules with the minimum confidence value of 30%. It is known the most frequently occurring product that will be used in calculating EOQ are 21 types of products. The results of the implementation of EOQ obtained the number of products to be ordered as many as 536 items for each order.

Item Type: Article
Subjects: 000 Karya Umum
Divisions: Fakultas Sains dan Teknologi > Teknik Industri
Depositing User: fsains -
Date Deposited: 11 May 2023 03:24
Last Modified: 11 May 2023 03:24
URI: http://repository.uin-suska.ac.id/id/eprint/70528

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