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http://dx.doi.org/10.12812/ksms.2020.22.4.045

Study of Supply-Production-Distribution Routing in Supply Chain Network Using Matrix-based Genetic Algorithm  

Lim, Seok-Jin (Department of Technology & Systems Management, Induk University)
Moon, Myung-Kug (Department of Chemical Engineering, Chungwoon University)
Publication Information
Journal of the Korea Safety Management & Science / v.22, no.4, 2020 , pp. 45-52 More about this Journal
Abstract
Recently, a multi facility, multi product and multi period industrial problem has been widely investigated in Supply Chain Network(SCN). One of keys issues in the current SCN research area involves minimizing both production and distribution costs. This study deals with finding an optimal solution for minimizing the total cost of production and distribution problems in supply chain network. First, we presented an integrated mathematical model that satisfies the minimum cost in the supply chain. To solve the presented mathematical model, we used a genetic algorithm with an excellent searching ability for complicated solution space. To represent the given model effectively, the matrix based real-number coding schema is used. The difference rate of the objective function value for the termination condition is applied. Computational experimental results show that the real size problems we encountered can be solved within a reasonable time.
Keywords
Matrix-based Genetic Algorithm; Production-Distribution planning; Hybrid Approach;
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