The paper deals with a sequencing and routing problem originated by a real-world application context. The problem consists in defining the best sequence of locations to visit within a warehouse for the storage and/or retrieval of a given set of items during a specified time horizon, by considering some specific requirements and operating policies which are typical of the kind of warehouse under study. A fleet composed of both electric (i.e., equipped with a lithium-ion battery) and conventional (i.e., with internal combustion engine) forklifts is considered. We model the problem in terms of constrained multicommodity flows on a space-time network, and we extend a matheuristic approach proposed for the case of only conventional vehicles. Preliminary computational results are also presented.

Lanza, G., Passacantando, M., Scutellà, M. (2022). The Green Sequencing and Routing Problem. In Computational Logistics 13th International Conference, ICCL 2022, Barcelona, Spain, September 21–23, 2022, Proceedings (pp.231-244). Springer Cham [10.1007/978-3-031-16579-5_16].

The Green Sequencing and Routing Problem

Passacantando, M;
2022

Abstract

The paper deals with a sequencing and routing problem originated by a real-world application context. The problem consists in defining the best sequence of locations to visit within a warehouse for the storage and/or retrieval of a given set of items during a specified time horizon, by considering some specific requirements and operating policies which are typical of the kind of warehouse under study. A fleet composed of both electric (i.e., equipped with a lithium-ion battery) and conventional (i.e., with internal combustion engine) forklifts is considered. We model the problem in terms of constrained multicommodity flows on a space-time network, and we extend a matheuristic approach proposed for the case of only conventional vehicles. Preliminary computational results are also presented.
paper
Green logistics; Matheuristic; Warehouse management;
English
13th International Conference on Computational Logistics, ICCL 2022 - 21 September 2022 through 23 September 2022
2022
de Armas, J; Ramalhinho, H; Voß, S
Computational Logistics 13th International Conference, ICCL 2022, Barcelona, Spain, September 21–23, 2022, Proceedings
978-3-031-16578-8
14-set-2022
2022
13557
231
244
https://link.springer.com/chapter/10.1007/978-3-031-16579-5_16#citeas
partially_open
Lanza, G., Passacantando, M., Scutellà, M. (2022). The Green Sequencing and Routing Problem. In Computational Logistics 13th International Conference, ICCL 2022, Barcelona, Spain, September 21–23, 2022, Proceedings (pp.231-244). Springer Cham [10.1007/978-3-031-16579-5_16].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/397130
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