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

Artificial Intelligence

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Advances in Production Management Systems
Subtitle of host publication	Competitive Manufacturing for Innovative Products and Services - IFIP WG 5.7 International Conference, APMS 2012, Revised Selected Papers
Publisher	Springer New York LLC
Pages	88-95
Number of pages	8
Edition	PART 1
ISBN (Print)	9783642403514
DOIs	https://doi.org/10.1007/978-3-642-40352-1_12
Publication status	Published - 2013
Event	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2012 - Rhodes, Greece Duration: 24 Sept 2012 → 26 Sept 2012

Publication series

Name	IFIP Advances in Information and Communication Technology
Number	PART 1
Volume	397
ISSN (Print)	1868-4238

Conference

Conference	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2012
Country/Territory	Greece
City	Rhodes
Period	24/09/12 → 26/09/12

Funding

Funders	Funder number
Seventh Framework Programme	260111

Keywords

Energy efficiency
Manufacturing
Optimisation
Visualisation

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

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

Cite this

Upton, C., Quilligan, F., García-Santiago, C., & González-González, A. (2013). Energy efficient production planning a joint cognitive systems approach. In 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, No. 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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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.",

keywords = "Energy efficiency, Manufacturing, Optimisation, Visualisation",

author = "Connor Upton and Fergus Quilligan and Carlos Garc{\'i}a-Santiago and Asier Gonz{\'a}lez-Gonz{\'a}lez",

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Upton, C, Quilligan, F, García-Santiago, C & González-González, A 2013, Energy efficient production planning a joint cognitive systems approach. in 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 edn, IFIP Advances in Information and Communication Technology, no. 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, Greece, 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, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

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KW - Manufacturing

KW - Optimisation

KW - Visualisation

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Upton C, Quilligan F, García-Santiago C, González-González A. Energy efficient production planning a joint cognitive systems approach. In 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

Abstract

Publication series

Conference

Funding

Keywords

UN SDGs

Access to Document

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