Cost-stable truck scheduling at a cross-dock facility with unknown truck arrivals: A meta-heuristic approach

被引:65
作者
Konur, Dincer [1 ,2 ]
Golias, Mihalis M. [2 ,3 ]
机构
[1] Missouri Univ Sci & Technol, Rolla, MO 65409 USA
[2] Univ Memphis, Ctr Intermodal Freight Transportat Studies, Memphis, TN 38152 USA
[3] Univ Memphis, Dept Civil Engn, Memphis, TN 38152 USA
关键词
Cross-dock operations; Unknown truck arrivals; Stable scheduling; Bi-objective optimization; SUPPLY CHAIN NETWORK; GENETIC ALGORITHMS; ASSIGNMENT PROBLEM; OUTBOUND TRUCKS; OPTIMIZATION; DESIGN; INVENTORY; METHODOLOGY; LAYOUT;
D O I
10.1016/j.tre.2012.06.007
中图分类号
F [经济];
学科分类号
02 ;
摘要
We study a cross-dock operator's truck scheduling problem at inbound doors in case of unknown truck arrival times. Due to uncertainty of truck arrivals, a scheduling strategy is subject to variations in costs of serving the trucks. A cost-stable scheduling strategy is defined as a schedule with low variation levels. In this paper, we analyze the cross-dock operator's problem of determining a cost-stable scheduling strategy while minimizing the average of total service costs. A bi-objective bi-level optimization problem is formulated and we discuss a genetic algorithm based heuristic to find Pareto efficient schedules. The proposed approach is compared to first-come-first-served policies. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:71 / 91
页数:21
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