We consider the truck scheduling problem at a cross docking terminal with many inbound and outbound doors, under the assumption of constant handling time for all the trucks, the objective being to minimize the completion time of the whole process. We propose a mathematical model together with a Lagrangian Relaxation scheme. We discuss the structural properties of the relaxed problem and derive a Lagrangian heuristic able to compute, at the same time, good feasible solutions and increasing lower bounds. The numerical results show that the Lagrangian decomposition is a promising approach to the solution of such problems.

A Decomposition-Based Heuristic for the Truck Scheduling Problem in a Cross-Docking Terminal

Sammarra M
2018

Abstract

We consider the truck scheduling problem at a cross docking terminal with many inbound and outbound doors, under the assumption of constant handling time for all the trucks, the objective being to minimize the completion time of the whole process. We propose a mathematical model together with a Lagrangian Relaxation scheme. We discuss the structural properties of the relaxed problem and derive a Lagrangian heuristic able to compute, at the same time, good feasible solutions and increasing lower bounds. The numerical results show that the Lagrangian decomposition is a promising approach to the solution of such problems.
2018
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Inglese
Daniele P.; Scrimali L.
New Trends in Emerging Complex Real Life Problems: ODS, Taormina, Italy, September 10--13, 2018
265
273
9
978-3-030-00472-9
https://link.springer.com/chapter/10.1007%2F978-3-030-00473-6_29
Springer
Cham, Heidelberg, New York, Dordrecht, London
SVIZZERA
Sì, ma tipo non specificato
Lagrangian relaxation
Scheduling
Heuristics
3
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
none
Gaudioso, M; Monaco, M F; Sammarra, M
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/349779
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