Fourth party logistics routing problem model with fuzzy duration time and cost discount
Cui, Y. Huang, M. Yang, S. Lee, L.H. Wang, X.
Cui, Y.
Huang, M.
Yang, S.
Wang, X.
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Abstract
In this paper, from the viewpoint of a fourth party logistics (4PL) provider, a multi-source single-destination 4PL routing problem with fuzzy duration time and cost discount (M-S 4PLRPFC) is described considering the comprehensive ability of 3PL suppliers and nodes. A chance-constrained programming model is established for the M-S 4PLRPFC. Next, a memetic algorithm (MA) with a fuzzy simulation method is designed to solve the problem. Based on a set of problem instances as the test bed, experiments are performed to compare the performance of the proposed MA with those of the enumeration method and a standard genetic algorithm (SGA). The experimental results show that the proposed MA obtains the same results as the enumeration method and that it is than the SGA. © 2013 Elsevier B.V. All rights reserved.
Keywords
Chance constrained programming, Fourth party logistics, Local search, Memetic algorithm, Routing problem
Source Title
Knowledge-Based Systems
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Date
2013-09
DOI
10.1016/j.knosys.2013.04.020
Type
Article