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Sustainable operations of industrial symbiosis: an enterprise input-output model integrated by agent-based simulation

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  • Devrim Murat Yazan
  • Luca Fraccascia

Abstract

Industrial symbiosis (IS) is a key for implementing circular economy. Through IS, wastes produced by one company are used as inputs by other companies. The operations of IS suffers from uncertainty barriers since wastes are not produced upon demand but emerge as secondary outputs. Such an uncertainty, triggered by waste supply-demand quantity mismatch, influences IS business dynamics. Accordingly, companies have difficulty to foresee potential costs and benefits of implementing IS. The paper adopts an enterprise input-output model providing a cost–benefit analysis of IS integrated to an agent-based model to simulate how companies share the total economic benefits stemming from IS. The proposed model allows to explore the space of cooperation, defined as the operationally favourable conditions to operate IS in an economically win-win manner. This approach, as a decision-support tool, allows the user to understand whether the IS relationship is created and how should the cost-sharing policy be. The proposed model is applied to a numerical example. Findings show that cost-sharing strategies are dramatically affected by waste supply-demand mismatch and by the relationship between saved and additional costs to run IS. Apart from methodological and theoretical contributions, the paper proposes managerial and practical implications for business strategy development in IS.

Suggested Citation

  • Devrim Murat Yazan & Luca Fraccascia, 2020. "Sustainable operations of industrial symbiosis: an enterprise input-output model integrated by agent-based simulation," International Journal of Production Research, Taylor & Francis Journals, vol. 58(2), pages 392-414, January.
  • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:2:p:392-414
    DOI: 10.1080/00207543.2019.1590660
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    Cited by:

    1. Mohammed M. Mabkhot & Pedro Ferreira & Antonio Maffei & Primož Podržaj & Maksymilian Mądziel & Dario Antonelli & Michele Lanzetta & Jose Barata & Eleonora Boffa & Miha Finžgar & Łukasz Paśko & Paolo M, 2021. "Mapping Industry 4.0 Enabling Technologies into United Nations Sustainability Development Goals," Sustainability, MDPI, vol. 13(5), pages 1-33, February.
    2. Fraccascia, Luca & Giannoccaro, Ilaria & Albino, Vito, 2021. "Ecosystem indicators for measuring industrial symbiosis," Ecological Economics, Elsevier, vol. 183(C).
    3. Parakram Pyakurel & Laurie Wright, 2021. "Energy and resources cooperation for greenhouse gases emissions reduction of industrial sector," Energy & Environment, , vol. 32(4), pages 635-647, June.
    4. Athar Ajaz Khan & János Abonyi, 2022. "Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy," Sustainability, MDPI, vol. 14(15), pages 1-40, August.
    5. Tang, Xiaoying & He, Yong & Salling, Melissza, 2021. "Optimal pricing and production strategies for two manufacturers with industrial symbiosis," International Journal of Production Economics, Elsevier, vol. 235(C).
    6. Efrain Boom-Cárcamo & Rita Peñabaena-Niebles, 2022. "Analysis of the Development of Industrial Symbiosis in Emerging and Frontier Market Countries: Barriers and Drivers," Sustainability, MDPI, vol. 14(7), pages 1-32, April.
    7. Ahmad, Farhan & Bask, Anu & Laari, Sini & Robinson, Craig V., 2023. "Business management perspectives on the circular economy: Present state and future directions," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    8. Fraccascia, Luca, 2020. "Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study," Ecological Economics, Elsevier, vol. 170(C).
    9. Devrim Murat Yazan & Vahid Yazdanpanah & Luca Fraccascia, 2020. "Learning strategic cooperative behavior in industrial symbiosis: A game‐theoretic approach integrated with agent‐based simulation," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 2078-2091, July.
    10. Rizzati, Massimiliano & Landoni, Matteo, 2024. "A systematic review of agent-based modelling in the circular economy: Insights towards a general model," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 617-631.
    11. Mochen Liao & Kai Lan & Yuan Yao, 2022. "Sustainability implications of artificial intelligence in the chemical industry: A conceptual framework," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 164-182, February.
    12. Luca Fraccascia & Vahid Yazdanpanah & Guido Capelleveen & Devrim Murat Yazan, 2021. "Energy-based industrial symbiosis: a literature review for circular energy transition," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 4791-4825, April.
    13. C. Oughton & B. Kurup & M. Anda & G. Ho, 2022. "Industrial Symbiosis to Circular Economy: What Does the Literature Reveal for a Successful Complex Industrial Area?," Circular Economy and Sustainability, Springer, vol. 2(4), pages 1317-1344, December.

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