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Systematic Literature Review on Dynamic Life Cycle Inventory: Towards Industry 4.0 Applications

Author

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  • Simone Cornago

    (Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore 138634, Singapore
    Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore)

  • Yee Shee Tan

    (Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore 138634, Singapore)

  • Carlo Brondi

    (STIIMA-CNR-Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Via Alfonso Corti 12, 20133 Milan, Italy)

  • Seeram Ramakrishna

    (Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore)

  • Jonathan Sze Choong Low

    (Singapore Institute of Manufacturing Technology, 2 Fusionopolis Way, Singapore 138634, Singapore)

Abstract

Life cycle assessment (LCA) is a well-established methodology to quantify the environmental impacts of products, processes, and services. An advanced branch of this methodology, dynamic LCA, is increasingly used to reflect the variation in such potential impacts over time. The most common form of dynamic LCA focuses on the dynamism of the life cycle inventory (LCI) phase, which can be enabled by digital models or sensors for a continuous data collection. We adopt a systematic literature review with the aim to support practitioners looking to apply dynamic LCI, particularly in Industry 4.0 applications. We select 67 publications related to dynamic LCI studies to analyze their goal and scope phase and how the dynamic element is integrated in the studies. We describe and discuss methods and applications for dynamic LCI, particularly those involving continuous data collection. Electricity consumption and/or electricity technology mixes are the most used dynamic components in the LCI, with 39 publications in total. This interest can be explained by variability over time and the relevance of electricity consumption as a driver of environmental impacts. Finally, we highlight eight research gaps that, when successfully addressed, could benefit the diffusion and development of sound dynamic LCI studies.

Suggested Citation

  • Simone Cornago & Yee Shee Tan & Carlo Brondi & Seeram Ramakrishna & Jonathan Sze Choong Low, 2022. "Systematic Literature Review on Dynamic Life Cycle Inventory: Towards Industry 4.0 Applications," Sustainability, MDPI, vol. 14(11), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6464-:d:823826
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    References listed on IDEAS

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    1. Arias, Ana & Nika, Chrysanthi-Elisabeth & Vasilaki, Vasileia & Feijoo, Gumersindo & Moreira, Maria Teresa & Katsou, Evina, 2024. "Assessing the future prospects of emerging technologies for shipping and aviation biofuels: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    2. Miguel F. Astudillo & Kai Krämer & Asier Arteaga, 2024. "Using dynamic life cycle assessment to evaluate the effects of industry digitalization: A steel case study," Journal of Industrial Ecology, Yale University, vol. 28(4), pages 942-952, August.

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