Truck scheduling for cross docking systems with multiple receiving and shipping docks

Yu, Wooyeon

doi:10.1504/ijstl.2015.067850

Cited by 4 publications

(12 citation statements)

References 13 publications

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“…Yazdani et al [32] developed a mixed-integer programming model and proposed a hunting search metaheuristic inspired by the foraging group behavior of animals. Yu [3] developed a mixed-integer programming model for the extended TRSP and solved it by two heuristic algorithms: a neighborhood search algorithm and a two-nested-loop search with mutation. In order to compare the performance of them, he derived the lower bound on the makespan for the problem.…”

Section: Literature Reviewmentioning

confidence: 99%

“…us, research on simplified models, which are somewhat different from actual ones, has become the mainstream [2]. Recently, studies dealing with TRSPs on cross-docking systems of practically configurable complex configurations have been increasing to overcome this problem [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…It is difficult to solve this complex and integrated chain process with only one approach. For this reason, we propose a hybrid GA. e proposed hybrid GA is verified by a cross-docking system with multiple receiving and shipping docks and temporary storage by Yu [3].…”

Section: Introductionmentioning

confidence: 99%

“…ese 35 benchmark problems are solved by red deer algorithm, virus colony search, water wave optimization, and social engineering optimization [9,10]. is study contributes to improving the solution of the 20 TRSP benchmark problems presented by Yu [3].…”

Section: Introductionmentioning

confidence: 99%

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A Hybrid Genetic Algorithm for Integrated Truck Scheduling and Product Routing on the Cross-Docking System with Multiple Receiving and Shipping Docks

Park

2021

Mathematical Problems in Engineering

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In this research, a truck scheduling problem for a cross-docking system with multiple receiving and shipping docks is studied. Until recently, single-dock cross-docking problems are studied mostly. This research is focused on the multiple-dock problems. The objective of the problem is to determine the best docking sequences of inbound and outbound trucks to the receiving and shipping docks, respectively, which minimize the maximal completion time. We propose a new hybrid genetic algorithm to solve this problem. This genetic algorithm improves the solution quality through the population scheme of the nested structure and the new product routing heuristic. To avoid unnecessary infeasible solutions, a linked-chromosome representation is used to link the inbound and outbound truck sequences, and locus-pairing crossovers and mutations for this representation are proposed. As a result of the evaluation of the benchmark problems, it shows that the proposed hybrid GA provides a superior solution compared to the existing heuristics.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Hybrid Genetic Algorithm for Integrated Truck Scheduling and Product Routing on the Cross-Docking System with Multiple Receiving and Shipping Docks

Park

2021

Mathematical Problems in Engineering

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“…Besides, a genetic algorithm was applied to solve the model. In addition, Yu [7] dealt with truck scheduling problem with multiple dock doors to find the best sequence for trucks as well as assignments for trucks to doors and at the same time determine the unloading sequences, product routing, and routing sequences. Madani-Isfahani et al [8] considered a truck scheduling model with multiple doors and then designed two metaheuristics, namely, simulated 2 Discrete Dynamics in Nature and Society annealing and firefly algorithm to solve the offered model.…”

Section: Introductionmentioning

confidence: 99%

Improved Harmony Search Algorithm for Truck Scheduling Problem in Multiple-Door Cross-Docking Systems

Wang

Zhao

et al. 2018

Discrete Dynamics in Nature and Society

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The key of realizing the cross docking is to design the joint of inbound trucks and outbound trucks, so a proper sequence of trucks will make the cross-docking system much more efficient and need less makespan. A cross-docking system is proposed with multiple receiving and shipping dock doors. The objective is to find the best door assignments and the sequences of trucks in the principle of products distribution to minimize the total makespan of cross docking. To solve the problem that is regarded as a mixed integer linear programming (MILP) model, three metaheuristics, namely, harmony search (HS), improved harmony search (IHS), and genetic algorithm (GA), are proposed. Furthermore, the fixed parameters are optimized by Taguchi experiments to improve the accuracy of solutions further. Finally, several numerical examples are put forward to evaluate the performances of proposed algorithms.

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A novel framework and effective scheduling of cross-docking center for multi-objective truck Scheduling Problem

Manupati

Madan

Lahiri

et al. 2018

2018 International Conference on Production and Operations Management Society (POMS)

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Truck scheduling for cross docking systems with multiple receiving and shipping docks

Cited by 4 publications

References 13 publications

A Hybrid Genetic Algorithm for Integrated Truck Scheduling and Product Routing on the Cross-Docking System with Multiple Receiving and Shipping Docks

A Hybrid Genetic Algorithm for Integrated Truck Scheduling and Product Routing on the Cross-Docking System with Multiple Receiving and Shipping Docks

Improved Harmony Search Algorithm for Truck Scheduling Problem in Multiple-Door Cross-Docking Systems

A novel framework and effective scheduling of cross-docking center for multi-objective truck Scheduling Problem

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