Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 145, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2020.106503
Keywords
Supply chain network design; Carbon emission; Competition; Chance constrained programming; Benders decomposition algorithm
Funding
- National Natural Science Foundation of China (NSFC) [71671071, 71771154, 91846301]
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In this paper, we study the competitive and sustainable supply chain network design problem. We consider the chain-to-chain competition between two supply chains. The problem is divided into two stages. The retail price and carbon emission equilibrium at the competition stage are studied. Then, the equilibrium results of the competition stage are substituted into the network design stage as constraints. To address the computational complexity of large-scale problems, a Benders decomposition algorithm is proposed. Through computational studies we find that (1) considering carbon emission competition in the supply chain lowers both the total optimized cost and carbon emission; (2) the carbon emissions of the total supply chain network increases with the probability of capacity satisfaction; (3) the proposed Benders decomposition algorithm outperforms CPLEX for large scale problems.
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