Publication:
A Truck Scheduling Problem for Multi-Crossdocking System with Metaheuristics

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datacite.subject.fos oecd::Social sciences::Economics and Business
dc.contributor.author Phan Nguyen Ky Phuc
dc.contributor.author Nguyen Van Thanh
dc.contributor.author Duong Bao Tram
dc.date.accessioned 2022-10-25T07:11:50Z
dc.date.available 2022-10-25T07:11:50Z
dc.date.issued 2022
dc.description.abstract The cross-docking is a very important subject in logistics and supply chain managements. According to the definition, cross-docking is a process dealing with transhipping inventory, in which goods and products are unloaded from an inbound truck and process through a flow-center to be directly loaded onto an outbound truck. Cross-docking is favored due to its advantages in reducing the material handing cost, the needs to store the product in warehouse, as well decreasing the labor cost by eliminating packaging, storing, pick-location and order picking. In cross-docking, products can be consolidated and transported as a full load, reducing overall distribution costs. In this paper, we focus on a truck scheduling at the multidoor, multi-crossdocking network with inventory constraints and process capability constraints. In this model, a truck can visit severals docks for loading or unloading many types products. This situation is very common in reality. This study also developed an exact mathematical model using mixedinteger linear programming (MILP) with the objective of minimizing the makespan to obtaint the benchmark in small scale problems. Large scale problems are solved through Simulated Annealing (SA) algorithm and Tabu Search (TS) algorithm. Performance of these algorithms will be compared to benchmarks obtained from solver as well as to each other.
dc.identifier.doi 10.32604/cmc.2022.027967
dc.identifier.uri http://repository.vlu.edu.vn:443/handle/123456789/320
dc.language.iso en_US
dc.relation.ispartof Computers, Materials & Continua
dc.relation.issn 1546-2226
dc.subject "Truck scheduling
dc.subject multi-door
dc.subject multi-crossdocking network
dc.subject simulated annealing
dc.subject tabu search"
dc.title A Truck Scheduling Problem for Multi-Crossdocking System with Metaheuristics
dc.type journal-article
dspace.entity.type Publication
oaire.citation.issue 3
oaire.citation.volume 72
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Journal Articles - Business and Management - 2022