On robust lot sizing problems with storage deterioration, with applications to heat and power cogeneration
On robust lot sizing problems with storage deterioration, with applications to heat and power cogeneration
We consider a variant of the single item lot sizing problem where the product, when stored, suffers from a proportional loss, and in which the product demand is affected by uncertainty. This setting is particularly relevant in the energy sector, where the demands must be satisfied in a timely manner and storage losses are, often, unavoidable. We propose a two-stage robust optimization approach to tackle the problem with second stage storage variables. We first show that, in the case of uncertain demands, the robust problem can be solved as an instance of the deterministic one. We then address an application of robust lot sizing arising in the context of heat and power cogeneration and show that, even in this case, we can solve the problem as an instance of the deterministic lot sizing problem. Computational experiments are reported and illustrated.
26-37
Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Koster, Arie
22c70cb3-4f20-4721-9694-1a45a623c2f8
Spiekermann, Nils
b770add8-31f6-4fa2-9cf8-d0fdf3b7fbc7
2016
Coniglio, Stefano
03838248-2ce4-4dbc-a6f4-e010d6fdac67
Koster, Arie
22c70cb3-4f20-4721-9694-1a45a623c2f8
Spiekermann, Nils
b770add8-31f6-4fa2-9cf8-d0fdf3b7fbc7
Coniglio, Stefano, Koster, Arie and Spiekermann, Nils
(2016)
On robust lot sizing problems with storage deterioration, with applications to heat and power cogeneration.
Fujishige, Satoru, Mahjoub, Ridha A. and Cerulli, Raffaele
(eds.)
In Combinatorial Optimization - 4th International Symposium, ISCO 2016, Revised Selected Papers.
vol. 9849 LNCS,
Springer.
.
(doi:10.1007/978-3-319-45587-7_3).
Record type:
Conference or Workshop Item
(Paper)
Abstract
We consider a variant of the single item lot sizing problem where the product, when stored, suffers from a proportional loss, and in which the product demand is affected by uncertainty. This setting is particularly relevant in the energy sector, where the demands must be satisfied in a timely manner and storage losses are, often, unavoidable. We propose a two-stage robust optimization approach to tackle the problem with second stage storage variables. We first show that, in the case of uncertain demands, the robust problem can be solved as an instance of the deterministic one. We then address an application of robust lot sizing arising in the context of heat and power cogeneration and show that, even in this case, we can solve the problem as an instance of the deterministic lot sizing problem. Computational experiments are reported and illustrated.
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Published date: 2016
Additional Information:
Funding Information:
This work is supported by the German Federal Ministry for Economic Affairs and Energy, BMWi, grant 03ET7528B.
Publisher Copyright:
© Springer International Publishing Switzerland 2016.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
Venue - Dates:
4th International Symposium on Combinatorial Optimization, ISCO 2016, , Vietri sul Mare, Italy, 2016-05-16 - 2016-05-18
Identifiers
Local EPrints ID: 448545
URI: http://eprints.soton.ac.uk/id/eprint/448545
ISSN: 0302-9743
PURE UUID: 335dd623-99f8-4217-bf97-753ad6bee567
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Date deposited: 26 Apr 2021 18:36
Last modified: 06 Jun 2024 01:55
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Contributors
Author:
Arie Koster
Author:
Nils Spiekermann
Editor:
Satoru Fujishige
Editor:
Ridha A. Mahjoub
Editor:
Raffaele Cerulli
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