Abstract
The study of resilience has grown since the 70s, with the impacts of the Covid-19 pandemic and geo-political issues around the world more recently influencing manufacturing supply chain operations. Moreover, sustainable supply chains will continue to drive businesses to operate in more competitive environments where there is resource scarcity, demand uncertainty, environmental concerns from stakeholders, etc. Few studies have attempted to study the synergies and trade-offs between sustainable and resilient practices for manufacturing; however, these findings are insufficient and need further exploration. This study explores the relationship between environmental and manufacturing resilience practices to support decision-making in dynamically changing environments and jointly build resilient and green SCs. This characterisation was studied based on four relationships—whether they were equivalent, supporting, competing/incompatible, or overlapping. The study hence advances the understanding of the relationships between manufacturing resilience and sustainability considering the uncertain context within which manufacturing supply chains currently operate.
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The authors have no competing interests to declare that are relevant to the content of this article.
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Acknowledgments
This study was supported by European Union's Horizon 2020 research and innovation programme under grant no. 101058384 (RE4DY) and by the Swedish innovation agency VINNOVA under grant no. 2021-02421 (Digitala Stambanan). The work was carried out within Chalmers’ Area of Advance Production whose support is greatly acknowledged.
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Chari, A., Despeisse, M., Holgado, M., Johansson, B., Stahre, J. (2024). Characterising the Relationship Between Environmental Sustainability and Resilience in Manufacturing. In: Thürer, M., Riedel, R., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments. APMS 2024. IFIP Advances in Information and Communication Technology, vol 728. Springer, Cham. https://doi.org/10.1007/978-3-031-71622-5_25
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