The University of Southampton
University of Southampton Institutional Repository

Matheuristics for solving a multi-attribute collection problem for a charity organisation

Matheuristics for solving a multi-attribute collection problem for a charity organisation
Matheuristics for solving a multi-attribute collection problem for a charity organisation
This paper studies a multi-attribute profit collecting vehicle routing problem, which arises in the collection operations of a charity organisation in the UK. The problem involves a heterogeneous fleet consisting of vehicles of different capacities, mandatory visits to a subset of vertices, time windows, rest requirements associated with maxi- mum driving and working times, and partial collection. A mixed integer programming formulation of the problem is provided, along with three matheuristics based on Tabu Search and Large Neighbourhood Search. Computational results on instances derived from a case study are presented, as well as the results of the real-world implementation.
vehicle routeing, heuristics, integer programming, matheuristics
0160-5682
177-190
Erdogan, G.
8f23f573-90f0-4c1c-b762-49a551acd987
McLeod, F.N.
93da13ec-7f81-470f-8a01-9339e80abe98
Cherrett, T.J.
e5929951-e97c-4720-96a8-3e586f2d5f95
Bektas, T.
0db10084-e51c-41e5-a3c6-417e0d08dac9
Erdogan, G.
8f23f573-90f0-4c1c-b762-49a551acd987
McLeod, F.N.
93da13ec-7f81-470f-8a01-9339e80abe98
Cherrett, T.J.
e5929951-e97c-4720-96a8-3e586f2d5f95
Bektas, T.
0db10084-e51c-41e5-a3c6-417e0d08dac9

Erdogan, G., McLeod, F.N., Cherrett, T.J. and Bektas, T. (2013) Matheuristics for solving a multi-attribute collection problem for a charity organisation. Journal of the Operational Research Society, 66 (2), 177-190. (doi:10.1057/jors.2013.172).

Record type: Article

Abstract

This paper studies a multi-attribute profit collecting vehicle routing problem, which arises in the collection operations of a charity organisation in the UK. The problem involves a heterogeneous fleet consisting of vehicles of different capacities, mandatory visits to a subset of vertices, time windows, rest requirements associated with maxi- mum driving and working times, and partial collection. A mixed integer programming formulation of the problem is provided, along with three matheuristics based on Tabu Search and Large Neighbourhood Search. Computational results on instances derived from a case study are presented, as well as the results of the real-world implementation.

Text
jors_MPCVRP_v8.pdf - Author's Original
Download (3MB)

More information

Published date: 18 December 2013
Keywords: vehicle routeing, heuristics, integer programming, matheuristics
Organisations: Centre of Excellence for International Banking, Finance & Accounting

Identifiers

Local EPrints ID: 360035
URI: http://eprints.soton.ac.uk/id/eprint/360035
ISSN: 0160-5682
PURE UUID: 0f9f5d88-fef5-4a67-a1c4-b1aa368f7334
ORCID for F.N. McLeod: ORCID iD orcid.org/0000-0002-5784-9342
ORCID for T.J. Cherrett: ORCID iD orcid.org/0000-0003-0394-5459
ORCID for T. Bektas: ORCID iD orcid.org/0000-0003-0634-144X

Catalogue record

Date deposited: 22 Nov 2013 13:18
Last modified: 15 Mar 2024 02:48

Export record

Altmetrics

Contributors

Author: G. Erdogan
Author: F.N. McLeod ORCID iD
Author: T.J. Cherrett ORCID iD
Author: T. Bektas ORCID iD

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.

×