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A multiplier adjustment algorithm for a truck scheduling and transshipment problem at a cross-docking terminal

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Abstract

The paper deals with a truck scheduling and transshipment problem in a cross-docking terminal, with one inbound gate and one outbound gate. Each inbound truck carries one or more load units possibly of different commodities, and each outbound truck must be loaded with different commodities as well. The problem is to define the sequence of trucks at the inbound and outbound gates and the transshipment plan, so as to minimize the makespan of the whole process. We propose a Lagrangian relaxation scheme and a dual ascent method to optimize the Lagrangian dual that encloses three heuristics aimed at recovering feasible solutions for the problem at hand from the solution of the Lagrangian problem. Computational experiments are also provided, in order to evaluate the effectiveness of the Lagrangian approach.

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All the instances and the detailed result tables are available online at https://sites.google.com/icar.cnr.it/softcompcd/home.

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Funding

The research has been supported by Ministero dell’Istruzione, Università e Ricerca under the PRIN 2015 research program - Grant 2015XAPRKF - SPORT: Smart PORt Terminals.

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Correspondence to Marcello Sammarra.

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The authors declare that they have no conflict of interest.

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This article does not contain any studies with human participants or animals performed by any of the authors.

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Communicated by Anna Sciomachen.

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Monaco, M.F., Sammarra, M. A multiplier adjustment algorithm for a truck scheduling and transshipment problem at a cross-docking terminal. Soft Comput 27, 4169–4193 (2023). https://doi.org/10.1007/s00500-022-06999-9

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  • DOI: https://doi.org/10.1007/s00500-022-06999-9

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