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
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98
Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Walton, Ruth
dca85796-d160-40dd-b679-824fb1bd2030
Fliege, Joerg
54978787-a271-4f70-8494-3c701c893d98
Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Walton, Ruth
dca85796-d160-40dd-b679-824fb1bd2030
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.
.
(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.
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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
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Date deposited: 30 Nov 2017 17:30
Last modified: 16 Mar 2024 04:24
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Contributors
Author:
Ruth Walton
Editor:
A. Sforza
Editor:
C. Sterle
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