A Novel Mathematical Model to Optimize Sustainable Supply Chain in the Lighting Products Industry

Gulmira Baybalinova; Andrey Goncharov; Igor Zavalishin; Igor Sokolov; Inna Trofimova; Denis Yashin; Alla Aleinova; Dmitry Piotrovsky; Rustem Zalilov

doi:10.7232/iems.2021.20.2.289

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자료유형: 학술저널

저자정보: Gulmira Baybalinova (Shakarim University of Semey) Andrey Goncharov (K.G. Razumovsky Moscow State University of technologies and management) Igor Zavalishin (K.G. Razumovsky Moscow State University of technologies and management) Igor Sokolov (K.G. Razumovsky Moscow State University of technologies and management) Inna Trofimova (K.G. Razumovsky Moscow State University of technologies and management) Denis Yashin (K.G. Razumovsky Moscow State University of technologies and management) Alla Aleinova (K.G. Razumovsky Moscow State University of technologies and management) Dmitry Piotrovsky (K.G. Razumovsky Moscow State University of technologies and management) Rustem Zalilov (Nosov Magnitogorsk State Technical University)

저널정보: 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.20 No.2

발행연도: 2021.6

수록면: 289 - 296 (8page)

DOI: 10.7232/iems.2021.20.2.289

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Nowadays, due to changing conditions in global markets and competition, the issue of sustainability is a priority for the work of world leaders and business managers and is of great importance. Many supply chain issues are affecting greenhouse gas emissions and supply chain sustainability, such as facility location design, transportation routes, inventory policies, and so on. Lighting products due to the nature of consumption and its very high waste, is one of the most important products in terms of environment and society. In this research, an attempt has been made to design logistics optimization model at the strategic and tactical level in a sustainable supply chain for lighting products, taking into account the economic dimension. In this regard, a nonlinear mathematical model for a sustainable supply chain has been developed with the aim of reducing carbon emissions and reducing total costs. In order to optimize this mathematical model, genetic algorithm has been used. The results of this study show that the design of a sustainable supply chain network in the lighting products industry can significantly reduce the adverse environmental impact of this supply chain.

#Sustainable Supply Chain #Carbon Emission #Nonlinear Programming #Genetic Algorithm

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이 논문의 저자 정보

Gulmira Baybalinova

소속기관 Shakarim University of Semey

주요연구분야 공학 > 산업공학

논문수 1 이용수 8

Andrey Goncharov