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Optimizing truck scheduling in a cross-docking system with preemption and unloading/loading sequence constraint | IEEE Conference Publication | IEEE Xplore

Optimizing truck scheduling in a cross-docking system with preemption and unloading/loading sequence constraint


Abstract:

To solve the truck scheduling problem with preemption and unloading/loading sequence requirement in a multi-door cross-docking system, preemption rules are analyzed and a...Show More

Abstract:

To solve the truck scheduling problem with preemption and unloading/loading sequence requirement in a multi-door cross-docking system, preemption rules are analyzed and a mathematical programming model is formulated aiming at minimizing total operation time. Then, a hybrid meta-heuristic algorithm based on particle swarm optimization and tabu search (PSO-TS) is proposed. Using Taguchi method, PSO-TS is tuned to attain the best robustness. Finally, computational experiments are carried out by using problem instances with different scales to compare the performances of PSO-TS and an improved PSO in the literature. Results show that PSO-TS had a significant advantage in computational time and produced better solutions with the increase of problem sizes.
Date of Conference: 27-29 March 2018
Date Added to IEEE Xplore: 21 May 2018
ISBN Information:
Conference Location: Zhuhai, China

References

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