A Genetic Algorithm-Based Decision Support System for Allocating International Apparel Demand

摘要

It has become more and more important and difficult to minimize makespan in the global competitive markets. The purpose of this paper is to develop a decision support system to assist managers in making decisions for minimal makespan. There are too many and complex factors for senior managers to make suitable decisions. By traditional methods to allocate orders for minimum makespan, it often makes unfit decisions. Thus, we used genetic algorithm for analyzing complex data. After calculating by genetic algorithm and first-in-first-out (FIFO), the result shows that allotting orders by genetic algorithm could cause better outcomes.