A COMPARISON STUDYOF DECISION SUPPORT SYSTEM USING CO-EVOLUTIONARY ALGORITHMS.

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 will consider two kind of scenarios: (i) without considering discount (ii) with considering discount and divided into 2 cases in each scenario: First case 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 case, 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.