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|Title:||Fourth party logistics routing problem model with fuzzy duration time and cost discount|
|Keywords:||Chance constrained programming|
Fourth party logistics
|Citation:||Cui, Y., Huang, M., Yang, S., Lee, L.H., Wang, X. (2013-09). Fourth party logistics routing problem model with fuzzy duration time and cost discount. Knowledge-Based Systems 50 : 14-24. ScholarBank@NUS Repository. https://doi.org/10.1016/j.knosys.2013.04.020|
|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.|
|Source Title:||Knowledge-Based Systems|
|Appears in Collections:||Staff Publications|
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