The University of Southampton
University of Southampton Institutional Repository

Facility location with item storage and delivery

Facility location with item storage and delivery
Facility location with item storage and delivery
We discuss part of an ongoing research activity involving the University of Southampton and the Royal British National Lifeboat Institution (RNLI), aimed at improving the RNLI’s warehousing and logistics operations. In particular, we consider a facility location problem to determine the optimal number and location of warehouses and which items are to be stored in each of them, minimising the costs of storage and transportation. We propose a mixed-integer non-linear programming formulation for the problem, which we then linearise in two different ways and solve to optimality with CPLEX. Computational results are reported and illustrated.
287-294
Springer
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98
Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Walton, Ruth
dca85796-d160-40dd-b679-824fb1bd2030
Sforza, A.
Sterle, C.
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98
Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Walton, Ruth
dca85796-d160-40dd-b679-824fb1bd2030
Sforza, A.
Sterle, C.

Fliege, Joerg, Coniglio, Stefano and Walton, Ruth (2017) Facility location with item storage and delivery. Sforza, A. and Sterle, C. (eds.) In Optimization and Decision Science: Methodologies and Applications. Springer. pp. 287-294 . (doi:10.1007/978-3-319-67308-0_29).

Record type: Conference or Workshop Item (Paper)

Abstract

We discuss part of an ongoing research activity involving the University of Southampton and the Royal British National Lifeboat Institution (RNLI), aimed at improving the RNLI’s warehousing and logistics operations. In particular, we consider a facility location problem to determine the optimal number and location of warehouses and which items are to be stored in each of them, minimising the costs of storage and transportation. We propose a mixed-integer non-linear programming formulation for the problem, which we then linearise in two different ways and solve to optimality with CPLEX. Computational results are reported and illustrated.

Text
ConiglioFliegeWalton - Accepted Manuscript
Restricted to Repository staff only
Request a copy

More information

e-pub ahead of print date: 4 September 2017

Identifiers

Local EPrints ID: 416025
URI: http://eprints.soton.ac.uk/id/eprint/416025
PURE UUID: 4b1c54a7-5467-48df-ba94-32d5b26213a8
ORCID for Joerg Fliege: ORCID iD orcid.org/0000-0002-4459-5419
ORCID for Stefano Coniglio: ORCID iD orcid.org/0000-0001-9568-4385

Catalogue record

Date deposited: 30 Nov 2017 17:30
Last modified: 18 Feb 2021 17:26

Export record

Altmetrics

Contributors

Author: Joerg Fliege ORCID iD
Author: Ruth Walton
Editor: A. Sforza
Editor: C. Sterle

University divisions

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.

×