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

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...

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Main Authors: Curtois, Timothy, Laesanklang, Wasakorn, Landa-Silva, Dario, Mesgarpour, Mohammad, Qu, Yi
Format: Conference or Workshop Item
Published: Scitepress 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/41538/
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author Curtois, Timothy
Laesanklang, Wasakorn
Landa-Silva, Dario
Mesgarpour, Mohammad
Qu, Yi
author_facet Curtois, Timothy
Laesanklang, Wasakorn
Landa-Silva, Dario
Mesgarpour, Mohammad
Qu, Yi
author_sort Curtois, Timothy
building Nottingham Research Data Repository
collection Online Access
description 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.
first_indexed 2025-11-14T19:45:45Z
format Conference or Workshop Item
id nottingham-41538
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:45:45Z
publishDate 2017
publisher Scitepress
recordtype eprints
repository_type Digital Repository
spelling nottingham-415382020-05-04T18:33:44Z https://eprints.nottingham.ac.uk/41538/ Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations Curtois, Timothy Laesanklang, Wasakorn Landa-Silva, Dario Mesgarpour, Mohammad Qu, Yi 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. Scitepress 2017-02-23 Conference or Workshop Item PeerReviewed Curtois, Timothy, Laesanklang, Wasakorn, Landa-Silva, Dario, Mesgarpour, Mohammad and Qu, Yi (2017) Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations. In: 6th International Conference on Operations Research and Enterprise Systems (ICORES 2017), 23-25 February 2017, Porto, Portugal. VRP PDP LNS Horizontal collaboration Split-loads http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006291004770482
spellingShingle VRP
PDP
LNS
Horizontal collaboration
Split-loads
Curtois, Timothy
Laesanklang, Wasakorn
Landa-Silva, Dario
Mesgarpour, Mohammad
Qu, Yi
Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations
title Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations
title_full Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations
title_fullStr Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations
title_full_unstemmed Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations
title_short Towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations
title_sort towards collaborative optimisation in a shared-logistics environment for pickup and delivery operations
topic VRP
PDP
LNS
Horizontal collaboration
Split-loads
url https://eprints.nottingham.ac.uk/41538/
https://eprints.nottingham.ac.uk/41538/