Journal
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
Volume 121, Issue -, Pages 1-20Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trb.2019.01.003
Keywords
Supply chain network design; Location, inventory and routing; Integrated optimization; Generalized benders decomposition
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Funding
- National Natural Science Foundation of China [11671300, 71603185, 71531011]
- Fundamental Research Funds for the Central Universities [22120180277]
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We study the integrated optimization of location, inventory and routing in supply chain network design (SCDN) problem. The SCND decision has significant impact on the performance of the supply chain. The major obstacles of the integrated optimization are the high non-linearity and the huge amount of variables and constraints caused by routing. In this paper, we introduce real-world constraints into the integrated model to characterize the model much more precisely, which simultaneously reduce the dimension of the problem. We propose an exact algorithm based on the Generalized Benders Decomposition (GBD) method to solve the model. We can obtain the Benders Cuts (BC) explicitly. We verify the effectiveness of the model and method by a real-life case: A passenger car supply chain network design case. (C) 2019 Elsevier Ltd. All rights reserved.
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