Optimization Models for Collaborative Logistics
Abstract
En
The Lane Covering Problem with Time Windows arises in the context of collaborative logistics. Given a set of lanes, it aims at finding a set of tours covering all lanes with the objective of minimizing the total travel cost. The purpose of this paper is to formulate a model for such a problem and to propose a heuristic approach based on Lagrangian relaxation for its solution. The behaviour of this procedure is tested on a set of random instances.
The Lane Covering Problem with Time Windows arises in the context of collaborative logistics. Given a set of lanes, it aims at finding a set of tours covering all lanes with the objective of minimizing the total travel cost. The purpose of this paper is to formulate a model for such a problem and to propose a heuristic approach based on Lagrangian relaxation for its solution. The behaviour of this procedure is tested on a set of random instances.
DOI Code:
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Keywords:
lane covering; collaborative logistics; Lagrangian relaxation; transportation
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