The University of Southampton
University of Southampton Institutional Repository

Optimising pathology logistics with shared-fleet passenger and freight services: a case study on the Isle of Wight, UK

Optimising pathology logistics with shared-fleet passenger and freight services: a case study on the Isle of Wight, UK
Optimising pathology logistics with shared-fleet passenger and freight services: a case study on the Isle of Wight, UK
This study presents an optimisation algorithm to solve a collaborative vehicle routing problem with time windows. The algorithm was developed and tested on a real-world case study to investigate the potential for a shared-fleet operation involving public or-ganisations, specifically, the Isle of Wight Council (IWC) and the National Health Service (NHS). The aim was to evaluate whether collaborative use of public-sector vehicles could reduce total fleet size, operational costs, and vehicle-kilometres travelled, while main-taining existing service levels. The study develops a two-stage optimisation algorithm that incorporates real-world constraints such as vehicle capacity, time windows, and pre-assigned mandatory stops. The first stage maximises the number of assignable col-laborative tasks across fleets, while the second stage minimises the total travel cost con-ditional on this maximum assignment. Using historical data and a novel optimisation algorithm, vehicle movements were modelled to evaluate benefits in terms of cost sav-ings, reduced CO2 emissions and vehicle usage. The case study results generated by the algorithm suggested that considerable improvements could be made by integrating pa-tient diagnostic collection rounds into the existing IWC minibus routes: (a 10.6% reduc-tion in CO2 emissions (644 kg/month) and vehicle kilometres (2300 km/month), a 20.2% reduction in working hours (219 h/month), and a 17.8% saving in cost (GBP (£) 3596/month) leading to IWC gaining a potential additional revenue of GBP (£) 54,829 annually while reducing costs by 22.4% for the NHS. The findings highlighted the poten-tial benefits of shared fleet collaborations between public sector organisations, offering a model for similar collaborations in other public sector contexts.
Healthcare Logistics, carrier collaboration, freight pooling, horizontal collaboration, road congestion, shared-fleet, urban logistics, healthcare logistics
2071-1050
Aydemir, Ismail
2fd6cf88-6fef-44bc-85f6-70b65743b490
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Martinez-Sykora, Antonio
2f9989e1-7860-4163-996c-b1e6f21d5bed
Mcleod, Fraser
93da13ec-7f81-470f-8a01-9339e80abe98
Aydemir, Ismail
2fd6cf88-6fef-44bc-85f6-70b65743b490
Cherrett, Tom
e5929951-e97c-4720-96a8-3e586f2d5f95
Martinez-Sykora, Antonio
2f9989e1-7860-4163-996c-b1e6f21d5bed
Mcleod, Fraser
93da13ec-7f81-470f-8a01-9339e80abe98

Aydemir, Ismail, Cherrett, Tom, Martinez-Sykora, Antonio and Mcleod, Fraser (2025) Optimising pathology logistics with shared-fleet passenger and freight services: a case study on the Isle of Wight, UK. Sustainability, 17 (19), [8606]. (doi:10.3390/su17198606).

Record type: Article

Abstract

This study presents an optimisation algorithm to solve a collaborative vehicle routing problem with time windows. The algorithm was developed and tested on a real-world case study to investigate the potential for a shared-fleet operation involving public or-ganisations, specifically, the Isle of Wight Council (IWC) and the National Health Service (NHS). The aim was to evaluate whether collaborative use of public-sector vehicles could reduce total fleet size, operational costs, and vehicle-kilometres travelled, while main-taining existing service levels. The study develops a two-stage optimisation algorithm that incorporates real-world constraints such as vehicle capacity, time windows, and pre-assigned mandatory stops. The first stage maximises the number of assignable col-laborative tasks across fleets, while the second stage minimises the total travel cost con-ditional on this maximum assignment. Using historical data and a novel optimisation algorithm, vehicle movements were modelled to evaluate benefits in terms of cost sav-ings, reduced CO2 emissions and vehicle usage. The case study results generated by the algorithm suggested that considerable improvements could be made by integrating pa-tient diagnostic collection rounds into the existing IWC minibus routes: (a 10.6% reduc-tion in CO2 emissions (644 kg/month) and vehicle kilometres (2300 km/month), a 20.2% reduction in working hours (219 h/month), and a 17.8% saving in cost (GBP (£) 3596/month) leading to IWC gaining a potential additional revenue of GBP (£) 54,829 annually while reducing costs by 22.4% for the NHS. The findings highlighted the poten-tial benefits of shared fleet collaborations between public sector organisations, offering a model for similar collaborations in other public sector contexts.

Text
sustainability-17-08606-v2 - Version of Record
Available under License Creative Commons Attribution.
Download (4MB)

More information

Accepted/In Press date: 22 September 2025
Published date: 25 September 2025
Keywords: Healthcare Logistics, carrier collaboration, freight pooling, horizontal collaboration, road congestion, shared-fleet, urban logistics, healthcare logistics

Identifiers

Local EPrints ID: 506328
URI: http://eprints.soton.ac.uk/id/eprint/506328
ISSN: 2071-1050
PURE UUID: 682d1f3c-e6ed-43a1-995c-51f12ce13c47
ORCID for Ismail Aydemir: ORCID iD orcid.org/0000-0002-7847-1801
ORCID for Tom Cherrett: ORCID iD orcid.org/0000-0003-0394-5459
ORCID for Antonio Martinez-Sykora: ORCID iD orcid.org/0000-0002-2435-3113
ORCID for Fraser Mcleod: ORCID iD orcid.org/0000-0002-5784-9342

Catalogue record

Date deposited: 04 Nov 2025 17:57
Last modified: 08 Nov 2025 03:04

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×