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Warehouse capacity sharing via transshipment for an integrated two-echelon supply chain
Xuehao Feng1, Ilkyeong Moon2, Kwangyeol Ryu3
1Ocean College, Zhejiang University, 866 Yuhangtang Road, Hangzhou, Zhejiang 310058, China.
Abstract:
Warehouse capacity constraint has been one obstacle to achieving the channel-wide optimal decision in inventory management. We studied an integrated inventory model consisting of a single vendor and multiple buyers with warehouse capacity sharing via transshipment. We proposed an optimal transshipment policy by developing nonlinear programming models and genetic algorithms as well as obtaining Karush-Kuhn-Tucker points. This inventory policy can significantly reduce the channel-wide cost and the performance is influenced by the consideration of fixed transshipment costs. Sensitivity analyses show that parameters have different impacts on the channel-wide cost and the performances of the algorithms.
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