期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 96, 期 -, 页码 180-191出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2016.03.023
关键词
Cross docking; Truck scheduling; Multi-objective optimization; Breakdown; Response surface methodology; Meta-heuristics
资金
- University of Tehran [8106043/1/27]
This paper addresses a truck scheduling problem in a cross-docking center, in which trucks may confront breakdowns during their service times. In fact, the number of breakdowns in one unit of time for each truck follows a Poisson distribution function. On the other hand, customers are promised to receive required items in a pre-determined time; so, a due date is assigned to each outbound truck. Thus, a bi-objective linear mathematical model is developed inspired by models in the body of the respective literature. A complete enumeration method is employed to find optimum solutions subject to the complexity of large-scale problems, and we modify three multi-objective meta-heuristics; namely, Non-dominated Sorting Genetic Algorithm II (NSGA-II), Multi-Objective Simulated Annealing (MOSA) and Multi-Objective Differential Evolutionary (MODE). In addition, a Response Surface Methodology (RSM) as a statistical tool is used to find an appropriate amount of factors associated with the forgoing meta-heuristics. Finally, the performances of the proposed meta-heuristics are measured and compared with each other. (C) 2016 Elsevier Ltd. All rights reserved.
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