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An Integrated AI-Multiple Criteria Decision-Making Framework to Improve Sustainable Energy Planning in Manufacturing Systems: A Case Study

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Handbook of Smart Energy Systems

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Abstract

Energy planning has historically been a challenging task in sustainable development due to the involvement of multiple criteria, such as social, economic, and environmental impacts (EIs). Multiple criteria decision-making (MCDM) methods have, therefore, attracted much attention to address this challenge. While there have been several opportunities to apply artificial intelligence (AI) and machine learning (ML) algorithms to enable the model to deal with the new situations in solving real-world problems, these methods have not yet been significantly explored in the area of sustainable energy planning. This article develops an insight into the integration of AI with simulation, MCDM technique, and life cycle assessment (LCA) in sustainable energy planning and prospects in this area. An extensive review in this has been performed, and a manufacturing system case study has been developed to illustrate the application of the hybrid proposed framework to improve sustainable energy planning.

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Authors and Affiliations

  1. School of Engineering, University of British Columbia, Kelowna, BC, Canada

    Aida Esmaeilidouki, Bryn J. Crawford & Abbas S. Milani

  2. Faculty of Management, University of British Columbia, Kelowna, BC, Canada

    Amir Ardestani-Jaafari

Authors
  1. Aida Esmaeilidouki
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  2. Bryn J. Crawford
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  3. Amir Ardestani-Jaafari
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  4. Abbas S. Milani
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Corresponding authors

Correspondence to Amir Ardestani-Jaafari or Abbas S. Milani .

Editor information

Editors and Affiliations

  1. Information Technology and Decision Sciences, University of North Texas, Denton, TX, USA

    Mahdi Fathi

  2. Department of Energy, Politecnico di Milano, MILANO, Milano, Italy

    Enrico Zio

  3. Industrial & Systems Engineering, University of Florida, GAINESVILLE, FL, USA

    Panos M. Pardalos

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Esmaeilidouki, A., Crawford, B.J., Ardestani-Jaafari, A., Milani, A.S. (2021). An Integrated AI-Multiple Criteria Decision-Making Framework to Improve Sustainable Energy Planning in Manufacturing Systems: A Case Study. In: Fathi, M., Zio, E., Pardalos, P.M. (eds) Handbook of Smart Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-72322-4_17-1

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  • DOI: https://doi.org/10.1007/978-3-030-72322-4_17-1

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  • Print ISBN: 978-3-030-72322-4

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