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A Study Case of Decision Support System Using Coevolutionary Algorithms

Atmadja, Hendry Tirta and Natalia, Friska and Ferdinand, Ferry Vincenttius (2016) A Study Case of Decision Support System Using Coevolutionary Algorithms. In: International Conference of Logistic and Supply Chain Management System.

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Abstract

This study is proposed for a small and medium-sized steel construction company to answer their problem in choosing suppliers on a project. A steel construction company’s project usually works with a same basic material for many types of item such as steel. Furthermore, the price for each item from the supplier is not based on the item type but its volumes. This study will perform a simulation of decision support system to help the company in decision making about which supplier will supply the item to gain the maximize profit. In this study, a co-evolutionary algorithm is used as the basic foundation for the application to optimize the profit by matching the right supplier for each item. The objective of doing this simulation is to proof that there is a rise in profit of the company by doing a matching the right supplier for the company. In this study, two scenarios will be proposed as numerical example. First scenario is when the company use the same type of goods which make the price from each supplier is only based on their volumes. The second scenario, is when the company use different type of goods which make the price from each supplier become more variety. These scenarios are proposed see how co-evolutionary algorithms perform in making a decision when the parameters become more varieties and developed by using Java Net Beans.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > T Technology (General) > T55 Industrial engineering. Management engineering > T58.5-58.64 Information technology > T58.59 Algorithm
Divisions: Fakultas Teknik Informatika > Program Studi Sistem Informasi
Depositing User: mr admin umn
Date Deposited: 29 Aug 2020 05:22
Last Modified: 11 Dec 2020 03:03
URI: http://kc.umn.ac.id/id/eprint/12756

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