Computational Intelligence in Cross Docking

Computational Intelligence in Cross Docking

Bo Xing (University of Pretoria, South Africa)
Copyright: © 2014 |Pages: 8
DOI: 10.4018/ijsi.2014010101
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Abstract

Cross docking is a practice in logistics with the main operations of goods flow directly from receiving to the shipping docks without stopping or being put away into storage. It is a simple concept to talk about, but a challenging one to implement. So far, many different approaches have been followed in order to improve the efficiency of a cross docking system. However, as the complexity increases, the use of computational intelligence (CI) in those problems is becoming a unique tool of imperative value. In this paper, different CI methods, such as Tabu search, simulated annealing, genetic algorithm, and fuzzy logic. The key issues in implementing the proposed approaches are discussed, and finally the open questions are highlighted.
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Literature Review

Nowadays, researchers have studied several cross docking related topics such as distribution network planning (Donaldson, Johnson, Ratliff, & Zhang, 1999; Rami, Jean, & Hosang, 2010; P. Chen, Guo, Lim, & Rodrigues, 2006; Musa, Arnaout, & Jung, 2010; Charkhgard & Tabar, 2011), dock door assignment (Bermúdez & Cole, 2001; Oh, Hwang, Cha, & Lee, 2006; Yu, Sharma, & Murty, 2008; Andrew Lim, H. Ma, & Zhaowei Miao, 2006; A. Lim, H. Ma, & Z. Miao, 2006; Miao, Lim, & Ma, 2009), inbound/outbound truck sequencing/scheduling (T. W. Liao, Egbelu, & Chang, n.d.; Boysen, Fliedner, & Scholl, 2010; Boysen & Fliedner, 2011; F. Chen & Lee, 2009; Larbi, Alpan, & Penz, 2009; Maknoon & Baptiste, 2010; Song & Chen, 2007; Bauchau, Alpan, Larbi, & Penz, 2008), location (Ross & Jayaraman, 2008), and vehicle routing (Lee, Jung, & Lee, 2006; C.-J. Liao, Lin, & Shih, 2010; Wen, Larsen, Clausen, Cordeau, & Laporte, 2009). A blow-by-blow description of these research areas is provided below.

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