期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 71, 期 -, 页码 173-191出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2016.11.016
关键词
Supply chain management; Transportation vehicle scheduling; Partial collaborative transportation scheduling; Varying dimension matrix encoding; ACO-nso
类别
资金
- National Natural Science Foundation of China [70431003]
- Science and Technology Support Program of Liaoning Province [2013216015]
- Science and Technology Support Program of Shenyang [F13-051-2-00, F14-231-1-24]
In this paper, we study and analyze the characteristics of transportation vehicle scheduling problem in supply chain management with third party logistics enterprise. First, we subdivide all the transportation nodes into three distinct classifications. A novel partial collaborative transportation scheduling strategy is proposed based on two special kinds of transportation nodes which have integrated the self-support vehicle and 3PL vehicle resource. Then, depending on the transport mode of each kind of transportation nodes, a modified Ant Colony Optimization with negative selection operation (ACO-nso) with varying dimension matrix encoding and modified transition probability operation method has been presented. Finally, the simulative results demonstrate that the proposed approach is practical and efficient. (C) 2016 Elsevier Ltd. All rights reserved.
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