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Digital
Library of the European Council for Modelling and Simulation |
Title: |
Circular Economy: A Coloured Petri Net Based Discrete Event Simulation Model |
Authors: |
Marco
Gribaudo, Marco Pironti,
Paola Pisano, Daniele Manini, Veronica Scuotto |
Published in: |
2020). ECMS 2020 Proceedings
Edited by: Mike Steglich, Christian Muller, Gaby
Neumann, Mathias Walther, European Council for Modeling and Simulation. DOI: http://doi.org/10.7148/2020 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-68-5 Communications of the ECMS , Volume 34, Issue 1, June 2020, United Kingdom |
Citation
format: |
Marco Gribaudo,
Marco Pironti, Paola Pisano, Daniele Manini, Veronica Scuotto (2020).
Circular Economy: A Coloured Petri Net Based
Discrete Event Simulation Model, ECMS 2020
Proceedings Edited By: Mike Steglich, Christian
Mueller, Gaby Neumann, Mathias Walther European Council for Modeling and
Simulation. doi: 10.7148/2020-0097 |
DOI: |
https://doi.org/10.7148/2020-0097 |
Abstract: |
Transition
from linear economy to circular economy has been so fast due to worsening
circumstances stem from climate change and pollution environmental effect.
The circular economy has provoked by the emergent need to cope with resources
scarcity (e.g. water and food). This economy generates a new way of re-thinking
and re-design process by re-using the same material, minimise
the impact of waste and pollution, and revamp the economy. In this context,
cities offer a desirable place for the evolution of the circular economy
thanks to their closeness to citizens, companies, and service suppliers. Such
cycles, are very interesting systems from a performance evaluation point of
view: in this paper we offer an holistic case study by employing Coloured Petri Nets to describe a real case scenario of
circular economy. We focus on a very current example which
considers the circular production of chitin by bioconversion of municipal
waste and we show how we can describe and analyse
it by using standard approaches to performance evaluation. The results allow to focus on interesting metrics and performance
indicators, which may not be easily obtainable with conventional techniques
used in the economic domain. |
Full
text: |