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An Effective Heuristic Algorithm for Robust Supply Chain Network Design under Uncertainty |
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PP: 819-826 |
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Author(s) |
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Maozhu Jin,
Ruimin Ma,
Lifei Yao,
Peiyu Ren,
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Abstract |
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| This paper addressing a study on robust supply chain network design under uncertainty environment.We use decomposition
and coordination strategy to decompose the model as two parties: the first part is facility location decision which only concludes 0−1
decision variable, tabu search algorithm is used to determine the 0−1 decision variables, and then regard the 0−1 variables as known
input parameters. The second part is flow decision, all-or-nothing method is proposed to design the capacity of the facility. From the
numerical example, we can see that, the model and algorithm is valid and effective, the robust optimization model not only reduces the
risk of market, but avoids the error from the shortage cost. |
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