Differential evolution and Population-based simulated annealing for truck scheduling problem in multiple door cross-docking systems

Assadi, Mohammad Taghi; Bagheri, Mohsen

doi:10.1016/j.cie.2016.03.021

Cited by 52 publications

(21 citation statements)

References 56 publications

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“…Constraints (8)- (9) guarantee the inbound truck or outbound truck occurs only once. Constraint (10) confirms the relationship between and ; similarly, the relationship between and is ensured by constraint (11). Constraint (12) ensures that the start time of the next inbound truck is equal to the finished time of the former inbound truck plus the delay time of truck change.…”

Section: The Mathematicalmentioning

confidence: 61%

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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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Section: The Mathematicalmentioning

confidence: 61%

“…Assadi and Bagheri [9] considered a cross-docking terminal with multiple doors and temporary storage, assuming the ready time of inbound trucks were uncertain. Assadi and Bagheri [10] proposed two algorithms, namely, differential evolution and population-based simulated annealing to solve the multiple-door cross-docking system.…”

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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“…Assadi and Bagheri [25] used the just-in-time (JIT) approach to address the truck scheduling problem at a CDT. The authors specifically considered the ready times for ITs and OTs, different transshipment times between receiving and shipping doors, and the interchangeability of products.…”

Section: General Cdt Truck Schedulingmentioning

confidence: 99%

Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The-Art Review

et al. 2019

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Recent trends in the management of supply chains have witnessed an increasing implementation of the cross-docking strategy. The cross-docking strategy, being the one that can potentially improve supply chain operations, has received a lot of attention from researchers in recent years, especially over the last decade. Cross-docking involves the reception of inbound products, deconsolidation, sorting, consolidation, and shipping of the consolidated products to the end customers. The number of research efforts, aiming to study and improve the cross-docking operations, increases every year. While some studies discuss cross-docking as an integral part of a supply chain, other studies focus on the ways of making cross-docking terminals more efficient and propose different operations research techniques for various decision problems at cross-docking terminals. In order to identify the recent cross-docking trends, this study performs a state-of-the-art review with a particular focus on the truck scheduling problem at cross-docking terminals. A comprehensive evaluation of the reviewed studies is conducted, focusing on the major attributes of the cross-docking operations. These attributes include terminal shape considered, doors considered, door service mode considered, preemption, internal transportation mode used, temporary storage capacity, resource capacity, objectives considered, and solution methods adopted. Based on findings from the review of studies, some common issues are outlined and future research directions are proposed.

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“…They proposed a branch-and-cut method for solving the mentioned problem in an acceptable time. Just-in-time (JIT) philosophy was utilized in truck scheduling problem to deliver the customers' demands on-time by Assadi and Bagheri [3], who considered ready time for trucks and transshipment time between receiving and shipping doors. A mixed integer programming (MIP) model was presented to minimize total earliness and tardiness of outbound trucks.…”

Section: Literature Reviewmentioning

confidence: 99%

A Bi-Objective Green Truck Routing and Scheduling Problem in a Cross Dock with the Learning Effect

Musavi

Tavakkoli–Moghaddam

Rayat

2017

IJOR

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Differential evolution and Population-based simulated annealing for truck scheduling problem in multiple door cross-docking systems

Cited by 52 publications

References 56 publications

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

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

Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-Of-The-Art Review

A Bi-Objective Green Truck Routing and Scheduling Problem in a Cross Dock with the Learning Effect

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