A holistic framework for increasing energy and resource efficiency in manufacturing

C. Herrmann; S. Thiede; T. Heinemann

doi:10.1007/978-3-642-20183-7

A holistic framework for increasing energy and resource efficiency in manufacturing

C. Herrmann, S. Thiede, T. Heinemann

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

Abstract

The derivation of promising measures to improve energy and resource efficiency demands an integrated, system-oriented perspective in order to avoid conflicts of goals and problem shifting. This involves an extended understanding of production processes, process chains and factories, including all relevant inputand output flows and their dynamic consumption respectively emission patterns. Against this background the topic energy and resource efficiency calls for different fields of action which are presented within this paper: based on different measurement strategies, the deep understanding of single processes and interdependencies within process chains as well as suitable methods for the evaluation and prediction of energy or resource consumption patterns (e.g. through energy oriented simulation), it is finally a major goal to integrate energy-related key figures into conventional industrial decision support systems within production management.

Original language	English
Title of host publication	Advances in Sustainable Manufacturing
Subtitle of host publication	Proceedings of the 8th Global Conference on Sustainable Manufacturing
Editors	Günther Seliger, Marwan M.K. Khraisheh, I.S. Jawahir
Publisher	Springer
Pages	267-273
Number of pages	7
ISBN (Electronic)	978-3-642-20183-7
ISBN (Print)	978-3-642-20182-0
DOIs	https://doi.org/10.1007/978-3-642-20183-7
Publication status	Published - 2011
Externally published	Yes
Event	8th Global Conference on Sustainable Manufacturing, GCSM 2010 - Abu Dhabi University Khalifa City Campus , Abu Dhabi, United Arab Emirates Duration: 22 Nov 2010 → 24 Nov 2010 Conference number: 8

Conference

Conference	8th Global Conference on Sustainable Manufacturing, GCSM 2010
Abbreviated title	GCSM 2010
Country	United Arab Emirates
City	Abu Dhabi
Period	22/11/10 → 24/11/10

Keywords

Energy efficiency
Energy oriented simulation
Resource efficiency
Sustainability in manufacturing

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Cite this

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title = "A holistic framework for increasing energy and resource efficiency in manufacturing",

abstract = "The derivation of promising measures to improve energy and resource efficiency demands an integrated, system-oriented perspective in order to avoid conflicts of goals and problem shifting. This involves an extended understanding of production processes, process chains and factories, including all relevant inputand output flows and their dynamic consumption respectively emission patterns. Against this background the topic energy and resource efficiency calls for different fields of action which are presented within this paper: based on different measurement strategies, the deep understanding of single processes and interdependencies within process chains as well as suitable methods for the evaluation and prediction of energy or resource consumption patterns (e.g. through energy oriented simulation), it is finally a major goal to integrate energy-related key figures into conventional industrial decision support systems within production management.",

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Herrmann, C, Thiede, S & Heinemann, T 2011, A holistic framework for increasing energy and resource efficiency in manufacturing. in G Seliger, MMK Khraisheh & IS Jawahir (eds), Advances in Sustainable Manufacturing: Proceedings of the 8th Global Conference on Sustainable Manufacturing. Springer, pp. 267-273, 8th Global Conference on Sustainable Manufacturing, GCSM 2010, Abu Dhabi, United Arab Emirates, 22/11/10. https://doi.org/10.1007/978-3-642-20183-7

A holistic framework for increasing energy and resource efficiency in manufacturing. / Herrmann, C.; Thiede, S.; Heinemann, T.

Advances in Sustainable Manufacturing: Proceedings of the 8th Global Conference on Sustainable Manufacturing. ed. / Günther Seliger; Marwan M.K. Khraisheh; I.S. Jawahir. Springer, 2011. p. 267-273.

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

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AU - Thiede, S.

AU - Heinemann, T.

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N2 - The derivation of promising measures to improve energy and resource efficiency demands an integrated, system-oriented perspective in order to avoid conflicts of goals and problem shifting. This involves an extended understanding of production processes, process chains and factories, including all relevant inputand output flows and their dynamic consumption respectively emission patterns. Against this background the topic energy and resource efficiency calls for different fields of action which are presented within this paper: based on different measurement strategies, the deep understanding of single processes and interdependencies within process chains as well as suitable methods for the evaluation and prediction of energy or resource consumption patterns (e.g. through energy oriented simulation), it is finally a major goal to integrate energy-related key figures into conventional industrial decision support systems within production management.

AB - The derivation of promising measures to improve energy and resource efficiency demands an integrated, system-oriented perspective in order to avoid conflicts of goals and problem shifting. This involves an extended understanding of production processes, process chains and factories, including all relevant inputand output flows and their dynamic consumption respectively emission patterns. Against this background the topic energy and resource efficiency calls for different fields of action which are presented within this paper: based on different measurement strategies, the deep understanding of single processes and interdependencies within process chains as well as suitable methods for the evaluation and prediction of energy or resource consumption patterns (e.g. through energy oriented simulation), it is finally a major goal to integrate energy-related key figures into conventional industrial decision support systems within production management.

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KW - Sustainability in manufacturing

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