Bayesian network for risk assessment of Circular Economy in the furniture industry

Last years have seen a surge of Circular Economy development in the manufacturing sector, due to its ability to decouple the economic and social growth from the usage of natural resources and the degradation of the environment. However, several risks affecting the CE adoption and implementation may hinder its full potentiality. Therefore, it is of paramount importance to analyze the link between Circular Economy practices, the risks associated with them and their mitigation strategies in order to identify the drivers on which to act for an adequate and efficient transition. Through the Bayesian Network, this study analyzes these relationships in the Italian furniture industry which has a high potential to the transition towards circularity, but which also shows a delay in adopting and implementing CE practices. The outcome of this study will help companies operating in furniture industry as well as policy makers to devise strategies to favor an adequate and efficient CE transition.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/ieem62345.2024.10857102
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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Bayesian network for risk assessment of Circular Economy in the furniture industry

Roberta Pellegrino
Advanced Manufacturing and Logistics Optimization
article

Bayesian network for risk assessment of Circular Economy in the furniture industry

Roberta Pellegrino
article en

Abstract

Last years have seen a surge of Circular Economy development in the manufacturing sector, due to its ability to decouple the economic and social growth from the usage of natural resources and the degradation of the environment. However, several risks affecting the CE adoption and implementation may hinder its full potentiality. Therefore, it is of paramount importance to analyze the link between Circular Economy practices, the risks associated with them and their mitigation strategies in order to identify the drivers on which to act for an adequate and efficient transition. Through the Bayesian Network, this study analyzes these relationships in the Italian furniture industry which has a high potential to the transition towards circularity, but which also shows a delay in adopting and implementing CE practices. The outcome of this study will help companies operating in furniture industry as well as policy makers to devise strategies to favor an adequate and efficient CE transition.

Polytechnic University of Bari (IT)
Decent work and economic growth
Openalex Percentile: Top 61%
Advanced Manufacturing and Logistics Optimization
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