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Title A Novel Mathematical Model to Optimize Sustainable Supply Chain in the Lighting Products Industry
ID_Doc 69915
Authors Baybalinova, G; Goncharov, A; Zavalishin, I; Sokolov, I; Trofimova, I; Yashin, D; Aleinova, A; Piotrovsky, D; Zalilov, R
Title A Novel Mathematical Model to Optimize Sustainable Supply Chain in the Lighting Products Industry
Year 2021
Published Industrial Engineering And Management Systems, 20, 2
DOI 10.7232/iems.2021.20.2.289
Abstract 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.
Author Keywords Sustainable Supply Chain; Carbon Emission; Nonlinear Programming; Genetic Algorithm
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Emerging Sources Citation Index (ESCI)
EID WOS:000670211400020
WoS Category Engineering, Industrial
Research Area Engineering
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