A Two-Stage Stochastic Programming Approach for Energy-Oriented Lot-Sizing

Ruiwen Liao; Franco Quezada; Céline Gicquel; Safia Kedad-Sidhoum

doi:10.1007/978-3-031-71629-4_24

A Two-Stage Stochastic Programming Approach for Energy-Oriented Lot-Sizing

Ruiwen Liao
, Franco Quezada
, Céline Gicquel
, Safia Kedad-Sidhoum

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

Résumé

We consider an industrial plant equipped with an on-site power generation system based on intermittent renewable energy. We investigate the problem of simultaneously planning the industrial production and the energy supply in this plant on a short-therm horizon. We propose to handle the resulting energy-oriented lot-sizing problem by a two-stage scenario-based stochastic programming approach. We discuss two alternative models differing with respect to when the decision on the production quantities is made. Preliminary computational results aimed at assessing the value of the stochastic solution are provided for both models.

langue originale	Anglais
titre	Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments - 43rd IFIP WG 5.7 International Conference, APMS 2024, Proceedings
rédacteurs en chef	Matthias Thürer, Ralph Riedel, Gregor von Cieminski, David Romero
Editeur	Springer Science and Business Media Deutschland GmbH
Pages	348-363
Nombre de pages	16
ISBN (imprimé)	9783031716287
Les DOIs	https://doi.org/10.1007/978-3-031-71629-4_24
état	Publié - 1 janv. 2024
Modification externe	Oui
Evénement	43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2024 - Chemnitz, Allemagne Durée: 8 sept. 2024 → 12 sept. 2024

Série de publications

Nom	IFIP Advances in Information and Communication Technology
Volume	730 IFIP
ISSN (imprimé)	1868-4238
ISSN (Electronique)	1868-422X

Une conférence

Une conférence	43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2024
Pays/Territoire	Allemagne
La ville	Chemnitz
période	8/09/24 → 12/09/24

SDG des Nations Unies

Ce résultat contribue à ou aux Objectifs de développement durable suivants

SDG 7 Énergie abordable et propre

Accès au document

10.1007/978-3-031-71629-4_24

Autres fichiers et liens

Lien vers la publication dans Scopus

Contient cette citation

Liao, R., Quezada, F., Gicquel, C., & Kedad-Sidhoum, S. (2024). A Two-Stage Stochastic Programming Approach for Energy-Oriented Lot-Sizing. Dans M. Thürer, R. Riedel, G. von Cieminski, & D. Romero (eds.), Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments - 43rd IFIP WG 5.7 International Conference, APMS 2024, Proceedings (p. 348-363). (IFIP Advances in Information and Communication Technology; Vol 730 IFIP). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-71629-4_24

Liao, Ruiwen ; Quezada, Franco ; Gicquel, Céline et al. / A Two-Stage Stochastic Programming Approach for Energy-Oriented Lot-Sizing. Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments - 43rd IFIP WG 5.7 International Conference, APMS 2024, Proceedings. Editeur / Matthias Thürer ; Ralph Riedel ; Gregor von Cieminski ; David Romero. Springer Science and Business Media Deutschland GmbH, 2024. p. 348-363 (IFIP Advances in Information and Communication Technology).

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title = "A Two-Stage Stochastic Programming Approach for Energy-Oriented Lot-Sizing",

abstract = "We consider an industrial plant equipped with an on-site power generation system based on intermittent renewable energy. We investigate the problem of simultaneously planning the industrial production and the energy supply in this plant on a short-therm horizon. We propose to handle the resulting energy-oriented lot-sizing problem by a two-stage scenario-based stochastic programming approach. We discuss two alternative models differing with respect to when the decision on the production quantities is made. Preliminary computational results aimed at assessing the value of the stochastic solution are provided for both models.",

keywords = "Energy-efficient manufacturing, Lot-sizing, Mathematical programming, Renewable energy, Two-stage stochastic programming",

author = "Ruiwen Liao and Franco Quezada and C{\'e}line Gicquel and Safia Kedad-Sidhoum",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2024.; 43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2024 ; Conference date: 08-09-2024 Through 12-09-2024",

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Liao, R, Quezada, F, Gicquel, C & Kedad-Sidhoum, S 2024, A Two-Stage Stochastic Programming Approach for Energy-Oriented Lot-Sizing. Dans M Thürer, R Riedel, G von Cieminski & D Romero (eds), Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments - 43rd IFIP WG 5.7 International Conference, APMS 2024, Proceedings. IFIP Advances in Information and Communication Technology, VOL. 730 IFIP, Springer Science and Business Media Deutschland GmbH, p. 348-363, 43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2024, Chemnitz, Allemagne, 8/09/24. https://doi.org/10.1007/978-3-031-71629-4_24

A Two-Stage Stochastic Programming Approach for Energy-Oriented Lot-Sizing. / Liao, Ruiwen; Quezada, Franco; Gicquel, Céline et al.
Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments - 43rd IFIP WG 5.7 International Conference, APMS 2024, Proceedings. Ed. / Matthias Thürer; Ralph Riedel; Gregor von Cieminski; David Romero. Springer Science and Business Media Deutschland GmbH, 2024. p. 348-363 (IFIP Advances in Information and Communication Technology; Vol 730 IFIP).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

TY - GEN

T1 - A Two-Stage Stochastic Programming Approach for Energy-Oriented Lot-Sizing

AU - Liao, Ruiwen

AU - Quezada, Franco

AU - Gicquel, Céline

AU - Kedad-Sidhoum, Safia

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2024.

PY - 2024/1/1

Y1 - 2024/1/1

N2 - We consider an industrial plant equipped with an on-site power generation system based on intermittent renewable energy. We investigate the problem of simultaneously planning the industrial production and the energy supply in this plant on a short-therm horizon. We propose to handle the resulting energy-oriented lot-sizing problem by a two-stage scenario-based stochastic programming approach. We discuss two alternative models differing with respect to when the decision on the production quantities is made. Preliminary computational results aimed at assessing the value of the stochastic solution are provided for both models.

AB - We consider an industrial plant equipped with an on-site power generation system based on intermittent renewable energy. We investigate the problem of simultaneously planning the industrial production and the energy supply in this plant on a short-therm horizon. We propose to handle the resulting energy-oriented lot-sizing problem by a two-stage scenario-based stochastic programming approach. We discuss two alternative models differing with respect to when the decision on the production quantities is made. Preliminary computational results aimed at assessing the value of the stochastic solution are provided for both models.

KW - Energy-efficient manufacturing

KW - Lot-sizing

KW - Mathematical programming

KW - Renewable energy

KW - Two-stage stochastic programming

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AN - SCOPUS:85204624718

SN - 9783031716287

T3 - IFIP Advances in Information and Communication Technology

SP - 348

EP - 363

BT - Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments - 43rd IFIP WG 5.7 International Conference, APMS 2024, Proceedings

A2 - Thürer, Matthias

A2 - Riedel, Ralph

A2 - von Cieminski, Gregor

A2 - Romero, David

PB - Springer Science and Business Media Deutschland GmbH

T2 - 43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2024

Y2 - 8 September 2024 through 12 September 2024

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Liao R, Quezada F, Gicquel C, Kedad-Sidhoum S. A Two-Stage Stochastic Programming Approach for Energy-Oriented Lot-Sizing. Dans Thürer M, Riedel R, von Cieminski G, Romero D, rédacteurs en chef, Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments - 43rd IFIP WG 5.7 International Conference, APMS 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 348-363. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-031-71629-4_24