Abstract
This research work deals with the multi-product multi-period supplier selection problem with inventory management and vehicle allocation in uncertain environment. In this paper, a robust weighted goal programming approach is developed to solve the multi-product multi-period supplier selection problem. The purpose is to consider parameter uncertainty by controlling the impact of estimation errors on the procurement strategy performance. In the proposed model, total costs, rejected items and late-delivered items are considered as three objectives that have to be minimized over the decision horizon. To illustrate the feasibility of the proposed model, a numerical example is presented.
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Acknowledgment
We are thankful for financial support from the National Natural Science Foundations (Grant No. 71571031).
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Wang, L., Li, J. (2020). A Robust Weighted Goal Programming Approach for Supplier Selection Problem with Inventory Management and Vehicle Allocation in Uncertain Environment. In: Xu, J., Ahmed, S., Cooke, F., Duca, G. (eds) Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. ICMSEM 2019. Advances in Intelligent Systems and Computing, vol 1002. Springer, Cham. https://doi.org/10.1007/978-3-030-21255-1_23
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DOI: https://doi.org/10.1007/978-3-030-21255-1_23
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