Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations

Curtois, Timothy; Laesanklang, Wasakorn; Landa-Silva, Dario; Mesgarpour, Mohammad; Qu, Yi

Abstract

This paper gives an overview of research work in progress within the COSLE (Collaborative Optimisation in a Shared Logistics Environment) project between the University of Nottingham and Microlise Ltd. This is an R&D project that seeks to develop optimisation technology to enable more efficient collaboration in transportation, particularly real-world operational environments involving pickup and delivery problems. The overall aim of the project is to integrate various optimisation techniques into a framework that facilitates collaboration in a shared freight transport logistics environment with the overall goal of reducing empty mileage.

Citation

Curtois, T., Laesanklang, W., Landa-Silva, D., Mesgarpour, M., & Qu, Y. (2017). Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations. In Proceedings of the 6th International Conference on Operations Research and Enterprise Systems ICORES - Volume 1 (477-482)

• Conference Name: 6th International Conference on Operations Research and Enterprise Systems (ICORES 2017)
• Conference Location: Porto, Portugal
• Start Date: Feb 3, 2017
• End Date: Feb 25, 2017
• Acceptance Date: Jan 4, 2017
• Publication Date: 2017
• Deposit Date: Mar 27, 2017
• Publicly Available Date: Dec 31, 2017
• Peer Reviewed: Peer Reviewed
• Pages: 477-482
• Series ISSN: 2184-4372
• Book Title: Proceedings of the 6th International Conference on Operations Research and Enterprise Systems ICORES - Volume 1
• ISBN: 978-989-758-218-9
• Keywords: VRP, PDP, LNS, Horizontal collaboration, Split-loads
• Public URL: https://nottingham-repository.worktribe.com/output/844578
• Publisher URL: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006291004770482
• Additional Information: Published in: Proceedings of the 6th International Conference on Operations Research and Enterprise Systems (ICORES 2017). Scitepress, 2017, ISBN: 978-989-758-218-9, p. 477-482. DOI:10.5220/0006291004770482.