Genetic Algorithm Approach to reconfigure alternatives in the Supply Chain Network

概要

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Supply Chain Management (SCM) has been drawing much attention for most companies. Among others, the reconfiguration of the existing Supply Chain Network (SCN) is essential to retain their competitive edges. In the strategic level, however, even if we focus on the quantitative criterion such as cost, however, there are situations that it is not easy to aggregate various costs into the overall cost, because of their imprecision, indetermination and uncertainty. Furthermore, other qualitative criteria must be taken in to account for evaluating the performance of supply chain network. In these complex situations, the heuristic analysis which has been frequently used is the best suited. This paper presents a genetic algorithm method. It has been implemented in the evaluation of several reconfiguration alternatives of the warehouses distributed all over the nation, especially focusing on the warehouse in North East region in Japan, of a major household appliances company. Furthermore, we suggest a new coding method which using matrix form to control the lethal gene in network problem.
名古屋商科大学の論文