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http://dx.doi.org/10.9723/jksiis.2019.24.3.031

Green Supply Chain Network Model: Genetic Algorithm Approach  

Yun, Young Su (조선대학교 경상대학 경영학부)
Chuluunsukh, Anudari (조선대학교 대학원 경영학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.24, no.3, 2019 , pp. 31-38 More about this Journal
Abstract
In this paper, we design a green supply chain (gSC) network model. For constructing the gSC network model, environmental and economic factors are taken into consideration in it. Environmental factor is to minimize the $CO_2$ emission amount emitted when transporting products or materials between each stage. For economic factor, the total cost which is composed of total transportation cost, total handling cost and total fixed cost is minimized. To minimize the environmental and economic factors simultaneously, a mathematical formulation is proposed and it is implemented in a genetic algorithm (GA) approach. In numerical experiment, some scales of the gSC network model is presented and its performance is analyzed using the GA approach. Finally, the efficiencies of the gSC network model and the GA approach are proved.
Keywords
green supply chain network model; environmental and economic factors; $CO_2$ emission amount; genetic algorithm;
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