@inproceedings{6d445eaab6844b2a85835a297f739ce1,
title = "Developing a Qualitative Maturity Scale for Circularity in Manufacturing",
abstract = "Circular Economy (CE) is gaining momentum and its diffusion in manufacturing companies remains a key element to be addressed. Indeed, the principles and practice of circularity can enhance sustainability in the manufacturing sector, but changes are required in organizations in order to fully embrace this paradigm. Therefore, several assessment models have been proposed to quantitatively measure CE performance, yet covering niche aspects, whereas a holistic perspective is usually neglected. In addition, there is significant scope to improve the elements composing the big picture through delineating where possible improvements might occur and this can be provided through an evaluation of the current status of a manufacturing company in respect to the optimum or reference model. Therefore, the goal of this contribution is to create the building blocks for a maturity model assessment proposing a complete and exhaustive maturity scale supporting companies in clarifying strategic objectives towards circularity in manufacturing. This goal has been achieved through a review of the scientific literature and a validation exercise performed through two workshops in which practitioners and researchers have been involved. This mixed-methodology allowed to strengthen the results obtained.",
keywords = "Circular economy, Manufacturing, Maturity scale",
author = "Federica Acerbi and Vafa J{\"a}rnefelt and Martins, {Jorge Tiago} and Leila Saari and Katri Valkokari and Marco Taisch",
note = "Publisher Copyright: {\textcopyright} 2021, IFIP International Federation for Information Processing.; IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021 ; Conference date: 05-09-2021 Through 09-09-2021",
year = "2021",
month = sep,
doi = "10.1007/978-3-030-85906-0_42",
language = "English",
isbn = "9783030859053",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer Science+Business Media",
pages = "377--385",
editor = "Alexandre Dolgui and Alain Bernard and David Lemoine and {von Cieminski}, Gregor and David Romero",
booktitle = "Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings",
address = "United States",
}