Authors : C. Rong-Chang , L. Chih-Chang and L. Shiue-Shiun
Abstract: The aim of this study is to develop a decision support system for apparel production. The system could help the managers to make decision more effectively and spontaneously within the minimum time in which plant is the prominent choice to fulfill a particular customer order in the hope of reducing the enterprise cost and meeting the customers� needs. The system is mainly composed of three major components, i.e., an input database, an analytical tool, and presentation tools. The input database contains the basic information which was directly collected from real data provided by a apparel company and gathered from the Enterprise Resource Planning (ERP) system for analyzing. The analytical tool employed in this study is the Genetic Algorithm (GA), which had been proven by many investigators to efficiently analyze the decision problems. Finally, visualized charts and reports are used to display the data for decision-makers. The system is supposed to be user-friendly, flexible, cost-effective, and suitable to the apparel industry.
C. Rong-Chang , L. Chih-Chang and L. Shiue-Shiun , 2006. An Automatic Decision Support System Based on Genetic Algorithm for Global Apparel Manufacturing. International Journal of Soft Computing, 1: 17-21.