A novel mathematical model to optimize sustainable supply chain in the lighting products industry
Baybalinova G. Goncharov A. Zavalishin I. Sokolov I. Trofimova I. Yashin D. Aleinova A. Piotrovsky D. Zalilov R.
June 2021Korean Institute of Industrial Engineers
Industrial Engineering and Management Systems
2021#20Issue 2289 - 296 pp.
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.
Carbon emission , Genetic algorithm , Nonlinear programming , Sustainable supply chain
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Shakarim University of Semey, Semey city, Kazakhstan
K.G. Razumovsky Moscow State University of technologies and management, The First Cossack University, 73, Zemlyanoy Val St., Moscow, 109004, Russian Federation
Nosov Magnitogorsk State Technical University, 38 Lenin Street, Chelyabinsk Region, Magnitogorsk City, 455000, Russian Federation
Shakarim University of Semey
K.G. Razumovsky Moscow State University of technologies and management
Nosov Magnitogorsk State Technical University
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