Abstract
This paper studies inbound and outbound truck sequencing for cross docking operations with the objective to minimize total operation time (a.k.a. makespan) or equivalently to maximize the throughput of a cross docking system. Specifically, two major contributions are made: (i) designing two new hybrid differential evolution algorithms with better performance than the pure differential evolution algorithm that was reported to have the best performance in a recent comparative study of several metaheuristic algorithms, i.e., Arabani et al., and (ii) proposing a more realistic and efficient operational policy that leads to shorter makespan than that developed by Yu and Egbelu. The effectiveness of the proposed algorithms and policy are shown based on the results of testing 30 problems and several other related issues are also investigated and discussed.
Original language | English (US) |
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Pages (from-to) | 3683-3697 |
Number of pages | 15 |
Journal | Applied Soft Computing Journal |
Volume | 12 |
Issue number | 11 |
DOIs | |
State | Published - Nov 2012 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Software
Keywords
- Combinatorial optimization
- Cross docking
- Hybrid differential evolution
- Hybrid metaheuristics
- Sequencing