Energy efficient production planning a joint cognitive systems approach

Connor Upton; Fergus Quilligan; Carlos García-Santiago; Asier González-González

doi:10.1007/978-3-642-40352-1_12

Energy efficient production planning a joint cognitive systems approach

Connor Upton
, Fergus Quilligan
, Carlos García-Santiago
, Asier González-González

IA

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

The introduction of energy efficiency as a new goal into already complex production plans is a difficult challenge. Decision support systems can help with this problem but these systems are often resisted by end users who ultimately bear the responsibility for production outputs. This paper describes the design of a decision support tool that aims to increase the interpretability of decision support outputs. The concept of 'grey box' optimisation is introduced, where aspects of the optimisation engine are communicated to, and configurable by, the end user. A multi-objective optimisation algorithm is combined with an interactive visualisation to improve system observability and increase trust.

Idioma original	Inglés
Título de la publicación alojada	Advances in Production Management Systems
Subtítulo de la publicación alojada	Competitive Manufacturing for Innovative Products and Services - IFIP WG 5.7 International Conference, APMS 2012, Revised Selected Papers
Editorial	Springer New York LLC
Páginas	88-95
Número de páginas	8
Edición	PART 1
ISBN (versión impresa)	9783642403514
DOI	https://doi.org/10.1007/978-3-642-40352-1_12
Estado	Publicada - 2013
Evento	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2012 - Rhodes, Grecia Duración: 24 sept 2012 → 26 sept 2012

Serie de la publicación

Nombre	IFIP Advances in Information and Communication Technology
Número	PART 1
Volumen	397
ISSN (versión impresa)	1868-4238

Conferencia

Conferencia	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2012
País/Territorio	Grecia
Ciudad	Rhodes
Período	24/09/12 → 26/09/12

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante
ODS 9: Industria, innovación e infraestructura

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10.1007/978-3-642-40352-1_12

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Enlace a la publicación en Scopus

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Upton, C., Quilligan, F., García-Santiago, C., & González-González, A. (2013). Energy efficient production planning a joint cognitive systems approach. En Advances in Production Management Systems: Competitive Manufacturing for Innovative Products and Services - IFIP WG 5.7 International Conference, APMS 2012, Revised Selected Papers (PART 1 ed., pp. 88-95). (IFIP Advances in Information and Communication Technology; Vol. 397, N.º PART 1). Springer New York LLC. https://doi.org/10.1007/978-3-642-40352-1_12

Upton, Connor ; Quilligan, Fergus ; García-Santiago, Carlos et al. / Energy efficient production planning a joint cognitive systems approach. Advances in Production Management Systems: Competitive Manufacturing for Innovative Products and Services - IFIP WG 5.7 International Conference, APMS 2012, Revised Selected Papers. PART 1. ed. Springer New York LLC, 2013. pp. 88-95 (IFIP Advances in Information and Communication Technology; PART 1).

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title = "Energy efficient production planning a joint cognitive systems approach",

abstract = "The introduction of energy efficiency as a new goal into already complex production plans is a difficult challenge. Decision support systems can help with this problem but these systems are often resisted by end users who ultimately bear the responsibility for production outputs. This paper describes the design of a decision support tool that aims to increase the interpretability of decision support outputs. The concept of 'grey box' optimisation is introduced, where aspects of the optimisation engine are communicated to, and configurable by, the end user. A multi-objective optimisation algorithm is combined with an interactive visualisation to improve system observability and increase trust.",

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Upton, C, Quilligan, F, García-Santiago, C & González-González, A 2013, Energy efficient production planning a joint cognitive systems approach. En Advances in Production Management Systems: Competitive Manufacturing for Innovative Products and Services - IFIP WG 5.7 International Conference, APMS 2012, Revised Selected Papers. PART 1 ed., IFIP Advances in Information and Communication Technology, n.º PART 1, vol. 397, Springer New York LLC, pp. 88-95, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2012, Rhodes, Grecia, 24/09/12. https://doi.org/10.1007/978-3-642-40352-1_12

Energy efficient production planning a joint cognitive systems approach. / Upton, Connor; Quilligan, Fergus; García-Santiago, Carlos et al.
Advances in Production Management Systems: Competitive Manufacturing for Innovative Products and Services - IFIP WG 5.7 International Conference, APMS 2012, Revised Selected Papers. PART 1. ed. Springer New York LLC, 2013. p. 88-95 (IFIP Advances in Information and Communication Technology; Vol. 397, N.º PART 1).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Energy efficient production planning a joint cognitive systems approach

AU - Upton, Connor

AU - Quilligan, Fergus

AU - García-Santiago, Carlos

AU - González-González, Asier

PY - 2013

Y1 - 2013

N2 - The introduction of energy efficiency as a new goal into already complex production plans is a difficult challenge. Decision support systems can help with this problem but these systems are often resisted by end users who ultimately bear the responsibility for production outputs. This paper describes the design of a decision support tool that aims to increase the interpretability of decision support outputs. The concept of 'grey box' optimisation is introduced, where aspects of the optimisation engine are communicated to, and configurable by, the end user. A multi-objective optimisation algorithm is combined with an interactive visualisation to improve system observability and increase trust.

AB - The introduction of energy efficiency as a new goal into already complex production plans is a difficult challenge. Decision support systems can help with this problem but these systems are often resisted by end users who ultimately bear the responsibility for production outputs. This paper describes the design of a decision support tool that aims to increase the interpretability of decision support outputs. The concept of 'grey box' optimisation is introduced, where aspects of the optimisation engine are communicated to, and configurable by, the end user. A multi-objective optimisation algorithm is combined with an interactive visualisation to improve system observability and increase trust.

KW - Energy efficiency

KW - Manufacturing

KW - Optimisation

KW - Visualisation

UR - https://www.scopus.com/pages/publications/84896093147

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M3 - Conference contribution

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SN - 9783642403514

T3 - IFIP Advances in Information and Communication Technology

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Upton C, Quilligan F, García-Santiago C, González-González A. Energy efficient production planning a joint cognitive systems approach. En Advances in Production Management Systems: Competitive Manufacturing for Innovative Products and Services - IFIP WG 5.7 International Conference, APMS 2012, Revised Selected Papers. PART 1 ed. Springer New York LLC. 2013. p. 88-95. (IFIP Advances in Information and Communication Technology; PART 1). doi: 10.1007/978-3-642-40352-1_12

Energy efficient production planning a joint cognitive systems approach

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ODS de las Naciones Unidas

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