Drayage routing with heterogeneous fleet, compatibility constraints, and truck load configurations

This paper addresses drayage routing problems with heterogeneous fleets, compatibility constraints, and truck load configurations. In these problems, containers can be of any size and cargo category. In addition, compatibility and load configuration constraints define which and how many containers c...

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Veröffentlicht in:Transportation research. Part E, Logistics and transportation review Jg. 168; S. 102922
Hauptverfasser: Bustos-Coral, Daniel, Costa, Alysson M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.12.2022
Schlagworte:
Compatibility constraint
Drayage routing
Heterogeneous fleet
Mixed-integer programming
Truck load configuration
Heterogeneous fleet
Compatibility constraint
Truck load configuration
Drayage routing
Mixed-integer programming
ISSN:1366-5545, 1878-5794
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Zusammenfassung:This paper addresses drayage routing problems with heterogeneous fleets, compatibility constraints, and truck load configurations. In these problems, containers can be of any size and cargo category. In addition, compatibility and load configuration constraints define which and how many containers can be transported by each truck. We propose a state transition logic to model these constraints. Based on this logic, we develop two mixed-integer programming models for this family of problems. The first model is a compact formulation that can be input into a black-box solver. The second model combines partial routes in a space–time network and is solved with a tailored branch-and-cut approach. To analyze the efficiency of the proposed models, we conduct extensive computational tests on instances with different numbers of requests, geographical distributions of locations, time-window lengths, and fleet compositions. Moreover, we discuss how our modeling approach can assist decision-making in three different drayage routing applications. •We consider a drayage routing problem with heterogeneous containers and trucks.•A state transition logic sets the trucks’ load capacities and compatible containers.•We propose a three-index mixed-integer programming formulation of the problem.•We develop a branch-and-cut approach that combines route fragments.•We conduct computational experiments on instances with different characteristics.
ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2022.102922