The Impact of Collaborative Scheduling and Routing for Interconnected Logistics

A European Case Study

Book Chapter (2021)
Authors

Sh. Azadeh ( Erasmus Universiteit Rotterdam)

M. Y. Maknoon (TU Delft - Transport and Logistics)

J. H. Chen (Shanghai Jiao Tong University)

Michel Bierlaire (École Polytechnique Fédérale de Lausanne)

Research Group
Transport and Logistics
Copyright
© 2021 S. Sharif Azadeh, M.Y. Maknoon, J.H. Chen, M. Bierlaire
To reference this document use:
https://doi.org/10.1007/978-3-030-55385-2_3
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 S. Sharif Azadeh, M.Y. Maknoon, J.H. Chen, M. Bierlaire
Research Group
Transport and Logistics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
35-56
ISBN (electronic)
978-0-030-55385-2
DOI:
https://doi.org/10.1007/978-3-030-55385-2_3
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

Interconnected logistics system can play an important role towards having a more sustainable green freight transport. Recently, after introducing the concept of Physical Internet (PI), researchers have started to explore the opportunities and challenges that a collaborative and interconnected network could create in different aspects of the supply chain. In this research, we study the last mile delivery as well as vehicle dispatching problems under the assumptions of collaborative supply chain networks while assuming that modularized boxes are applied inside the network from the provider to the final customer. Our research aims at proposing a more efficient resource planning with the minimal number of empty vehicle movements running on roads that ultimately leads to decrease carbon dioxide emission. The assumptions have been tested and verified using real data coming from a major retail company in Europe.

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