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Eco-Intelligent Factories: Timescales for Environmental Decision Support

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Sustainable Design and Manufacturing 2017 (SDM 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 68))

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Abstract

Manufacturing decisions are currently made based on considerations of cost, time and quality. However there is increasing pressure to also routinely incorporate environmental considerations into the decision making processes. Despite the existence of a number of tools for environmental analysis of manufacturing activities, there does not appear to be a structured approach for generating relevant environmental information that can be fed into manufacturing decision making. This research proposes an overarching structure that leads to three approaches, pertaining to different timescales that enable the generation of environmental information, suitable for consideration during decision making. The approaches are demonstrated through three industrial case studies.

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Author information

Authors and Affiliations

  1. Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Centre for Sustainable Manufacturing and Recycling Technologies, Loughborough University, Loughborough, UK

    Elliot Woolley, Alessandro Simeone & Shahin Rahimifard

Authors
  1. Elliot Woolley
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  2. Alessandro Simeone
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  3. Shahin Rahimifard
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Corresponding author

Correspondence to Elliot Woolley .

Editor information

Editors and Affiliations

  1. Università di Bologna, Bologna, Italy

    Giampaolo Campana

  2. Bournemouth University, Poole, Dorset, United Kingdom

    Robert J. Howlett

  3. Cardiff University, Cardiff, United Kingdom

    Rossi Setchi

  4. Università di Bologna, Bologna, Italy

    Barbara Cimatti

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Woolley, E., Simeone, A., Rahimifard, S. (2017). Eco-Intelligent Factories: Timescales for Environmental Decision Support. In: Campana, G., Howlett, R., Setchi, R., Cimatti, B. (eds) Sustainable Design and Manufacturing 2017. SDM 2017. Smart Innovation, Systems and Technologies, vol 68. Springer, Cham. https://doi.org/10.1007/978-3-319-57078-5_32

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  • DOI: https://doi.org/10.1007/978-3-319-57078-5_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57077-8

  • Online ISBN: 978-3-319-57078-5

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