A multi-objective optimization approach for designing a sustainable supply chain considering carbon emissions

Amit Kumar () and Kaushal Kumar ()
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Amit Kumar: University of Delhi
Kaushal Kumar: University of Delhi

International Journal of System Assurance Engineering and Management, 2024, vol. 15, issue 5, No 13, 1777-1793

Abstract: Abstract Greenhouse gases (GHGs) emission has been growing for decades, that has resulted in serious environmental problems. Many researches have focused on production planning in supply chains that are primarily attributed to objectives of cost minimization and profit maximization. There has been limited research concentrated on emission of GHGs (e.g. CO $$_{2}$$ 2 , N $$_{2}$$ 2 O, CH $$_{4}$$ 4 ) from industrial activities. The social concern of air pollution is the motivation towards the proposed study. In this study, we propose an optimization model for designing a sustainable supply chain management (SSCM) network that attempts to reduce carbon emission, improve social benefits and eventually improve customer experience. The optimization model is a multi objective mixed integer linear programming (MILP) formulation. The proposed model is a multi raw-material, multi-product, multi-period, multi-sites model that focuses on improving three dimensions of sustainability: viz. economic, environmental and social. Model performance is demonstrated through numerical experiments. The authors are currently working on solution algorithm for solving larger instances of the proposed model.

Keywords: Greenhouse gas emission; Sustainable supply chain; Production planning; Carbon emission; Mixed integer linear programming; Multi-objective optimization (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s13198-023-02085-x

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