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Mr. Roberto Rocca
Politecnico di Milano, Department of Management, Economics and Industrial Engineering

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0 Industrial Engineering
0 sustainability assessment
0 Industry 4.0
0 circular economy
0 sustainable manufacturing

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Chapter
Published: 19 June 2021 in Tunable Low-Power Low-Noise Amplifier for Healthcare Applications
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The main aim of the FENIX project is the development of new business models and industrial strategies for three novel supply chains in order to enable value-added product-services. Through a set of success stories coming from the application of circular economy principles in different industrial sectors, FENIX wants to demonstrate in practice the real benefits coming from its adoption. In addition, Key Enabling Technologies (KETs) will be integrated within the selected processes to improve the efficient recovery of secondary resources. This chapter focuses on the definition of a novel Circular Economy Performance Assessment (CEPA) methodology to be adopted within the FENIX project. This implementation activity has been done into two steps. From one side, a state-of-the-art analysis of existing CE methodologies and related KPIs has been executed and the most common circularity assessment methods (and KPIs) have been identified. Subsequently, a totally new CEPA methodology has been developed starting from the findings coming from the literature. This methodology, together with classic LCA and LCC methods, will be exploited for the quantitative assessment of CBMs.

ACS Style

Roberto Rocca; Claudio Sassanelli; Paolo Rosa; Sergio Terzi. Circular Economy Performance Assessment. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications 2021, 17 -33.

AMA Style

Roberto Rocca, Claudio Sassanelli, Paolo Rosa, Sergio Terzi. Circular Economy Performance Assessment. Tunable Low-Power Low-Noise Amplifier for Healthcare Applications. 2021; ():17-33.

Chicago/Turabian Style

Roberto Rocca; Claudio Sassanelli; Paolo Rosa; Sergio Terzi. 2021. "Circular Economy Performance Assessment." Tunable Low-Power Low-Noise Amplifier for Healthcare Applications , no. : 17-33.

Conference paper
Published: 05 May 2020 in Proceedings of International Conference on Big Data, Machine Learning and Applications
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Over the last years, several technologies and control systems have been developed towards the decentralization of automation control architectures for cyber-physical production systems. Nevertheless, only few of these technologies are already in use. To support their adoption in brownfield production sites migration strategies and business case evaluations are necessary. This paper presents a migration approach and a business case evaluation methodology tailored to the migration of legacy automation systems towards the Industry 4.0 paradigm. The proposed approach aims to evaluate opportunities and mitigate the risks of migration from technical, operational, human and business perspectives. The methodology follows an iterative approach starting from the definition of the current situation of the factory and the identification of business goals aiming at evaluating a set of possible migration paths and selecting the optimal one according to a cost-benefit analysis. The paper concludes with an exemplary application of the methodology in a real industrial environment, developed within the FAR-EDGE European Project.

ACS Style

Roberto Rocca; Filippo Boschi; Ambra Calà; Paola Fantini; Marco Taisch. A Migration Methodology for Factories Digital Transformation. Proceedings of International Conference on Big Data, Machine Learning and Applications 2020, 311 -319.

AMA Style

Roberto Rocca, Filippo Boschi, Ambra Calà, Paola Fantini, Marco Taisch. A Migration Methodology for Factories Digital Transformation. Proceedings of International Conference on Big Data, Machine Learning and Applications. 2020; ():311-319.

Chicago/Turabian Style

Roberto Rocca; Filippo Boschi; Ambra Calà; Paola Fantini; Marco Taisch. 2020. "A Migration Methodology for Factories Digital Transformation." Proceedings of International Conference on Big Data, Machine Learning and Applications , no. : 311-319.

Journal article
Published: 14 March 2020 in Sustainability
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The increasing awareness of customers toward climate change effects, the high demand instability affecting several industrial sectors, and the fast automation and digitalization of production systems are forcing companies to re-think their business strategies and models in view of both the Circular Economy (CE) and Industry 4.0 (I4.0) paradigms. Some studies have already assessed the relations between CE and I4.0, their benefits, and barriers. However, a practical demonstration of their potential impact in real contexts is still lacking. The aim of this paper is to present a laboratory application case showing how I4.0-based technologies can support CE practices by virtually testing a waste from electrical and electronic equipment (WEEE) disassembly plant configuration through a set of dedicated simulation tools. Our results highlight that service-oriented, event-driven processing and information models can support the integration of smart and digital solutions in current CE practices at the factory level.

ACS Style

Roberto Rocca; Paolo Rosa; Claudio Sassanelli; Luca Fumagalli; Sergio Terzi. Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case. Sustainability 2020, 12, 2286 .

AMA Style

Roberto Rocca, Paolo Rosa, Claudio Sassanelli, Luca Fumagalli, Sergio Terzi. Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case. Sustainability. 2020; 12 (6):2286.

Chicago/Turabian Style

Roberto Rocca; Paolo Rosa; Claudio Sassanelli; Luca Fumagalli; Sergio Terzi. 2020. "Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case." Sustainability 12, no. 6: 2286.