Reducing supply chain carbon emissions in consideration of energy service companies under the cap-and-trade mechanism

In the current era emphasizing sustainability and circularity, supply chain network design is a critical challenge for making reliable decisions. The optimization of facility location-allocation inventory problems (FLAIPs) holds the key to achieving dependable product delivery with reduced costs and carbon emissions. Despite the importance of these challenges, a substantial research gap exists regarding economic, reliability, and sustainability criteria for FLAIPs. This paper aims to fill this gap by introducing a multi-objective mixed-integer linear programming model, focusing on configuring a reliable sustainable supply chain network. The model addresses three key objectives: minimizing costs, minimizing emissions, and maximizing reliability. A notable contribution of this research lies in elaborating on five levels of a supply chain network catering to the delivery of multiple products across various periods. Another novelty is the simultaneous incorporation of economic, environmental, and reliability objectives in the network design—a facet rarely addressed in prior research. Results highlight that varying demand levels for each facility lead to altered trade-offs between objectives, empowering practitioners to make diverse decisions in facility location allocation. The proposed mathematical model undergoes validation through numerical examples and sensitivity analysis of parameters. The paper concludes by presenting theoretical and managerial implications, contributing valuable insights to the field of sustainable supply chains.

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Evolutionary game analysis of emission-dependent supply chain carbon abatement behaviours considering cap-and-trade mechanism

Wei,

Ying,

Liu

2024

Int. J. Environ. Sci. Technol.

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Reducing supply chain carbon emissions in consideration of energy service companies under the cap-and-trade mechanism

Cited by 6 publications

References 49 publications

Joint optimization on green investment and contract design for sustainable supply chains with fairness concern

Joint optimization on green investment and contract design for sustainable supply chains with fairness concern

Designing a reliable-sustainable supply chain network: adaptive m-objective ε-constraint method

Evolutionary game analysis of emission-dependent supply chain carbon abatement behaviours considering cap-and-trade mechanism

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