Circular Economy Models in the Industry 4.0 Era: A Review of the Last Decade

Piscitelli, Giuseppina; Ferazzoli, Angela; Petrillo, Antonella; Cioffi, Raffaele; Parmentola, Adele; Travaglioni, Marta

doi:10.1016/j.promfg.2020.02.074

Cited by 51 publications

(30 citation statements)

References 14 publications

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“…The CE focuses on the use of resources in the 10Rs to generate economic and environmental benefits [5]; however, some obstacles are related to the lack of advanced technologies to apply this circular flow [21], as well as the uncertainty of the economic benefit to be obtained from the investment made [22,23]; however, the emerging technologies of I4.0 are dynamizing the unlocking of CE and the collaborative economy, respectively [4].…”

Section: Industry 40 and Circular Economy Practicesmentioning

confidence: 99%

Digital Technologies, Circular Economy Practices and Environmental Policies in the Era of COVID-19

et al. 2021

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The degradation of the environment is associated with economic activity, particularly with the linear way in which the economy does not make efficient use of resources. However, the circular economy is opposed to this linear paradigm, since it makes the most of the resources in trying to achieve zero waste. In this context, this study investigates the relationship between industry 4.0 technologies, COVID-19 outbreak, environmental regulation policies and circular economy practices. A questionnaire is designed to collect information from 214 big and private manufacturing firms in Ecuador, and subsequently, through CB-SEM, the information is processed, and the study paths are validated. The results suggest that industry 4.0 technologies and environmental regulation policies are driving circular economy practices during the pandemic. The study finds no evidence favoring COVID-19 being a determining factor in the adoption of the circular economy. The results provide a policy framework for the adoption of a circular economy.

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Section: Industry 40 and Circular Economy Practicesmentioning

confidence: 99%

Digital Technologies, Circular Economy Practices and Environmental Policies in the Era of COVID-19

et al. 2021

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“…e concept of industry 4.0 is greatly linked to other concepts such as servitization [36,37], crowdsourcing [38], circular economy (sharing economy) [39][40][41][42][43][44], green economy, and bioeconomy [45]. Besides being complemental to a vast number of existing concepts, the main strength of industry 4.0 is the promises for shorter delivery time, more efficient and automated processes, higher quality, agility in production, and profitable and customized products [46,47].…”

Section: Introductionmentioning

confidence: 99%

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Bongomin

Yemane

Kembabazi

et al. 2020

Journal of Engineering

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Very well into the dawn of the fourth industrial revolution (industry 4.0), humankind can hardly distinguish between what is artificial and what is natural (e.g., man-made virus and natural virus). Thus, the level of discombobulation among people, companies, or countries is indeed unprecedented. The fact that industry 4.0 is explosively disrupting or retrofitting each and every industrial sector makes industry 4.0 the famous buzzword amongst researchers today. However, the insight of industry 4.0 disruption into the industrial sectors remains ill-defined in both academic and nonacademic literature. The present study aimed at identifying industry 4.0 neologisms, understanding the industry 4.0 disruption and illustrating the disruptive technology convergence in the major industrial sectors. A total of 99 neologisms of industry 4.0 were identified. Industry 4.0 disruption in the education industry (education 4.0), energy industry (energy 4.0), agriculture industry (agriculture 4.0), healthcare industry (healthcare 4.0), and logistics industry (logistics 4.0) was described. The convergence of 12 disruptive technologies including 3D printing, artificial intelligence, augmented reality, big data, blockchain, cloud computing, drones, Internet of Things, nanotechnology, robotics, simulation, and synthetic biology in agriculture, healthcare, and logistics industries was illustrated. The study divulged the need for extensive research to expand the application areas of the disruptive technologies in the industrial sectors.

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“…It is detailed and exhaustive, covering all the literature covered by the criteria defined in the protocol [37,38]. Considering the specific topic of this paper, focused on the 3 specific RQs, the authors think that a traditional/narrative literature review is suitable for the scope, since, due to the vastness and the variety of both CE and I4.0, which further increase when the 2 topics are integrated, a systematic review would require a dedicated analysis, based on specific scientific phases, such as planning protocol, operative research, classification and discussion, as applied in [39]. This is not the purpose of our study, which aims to just describe the use of intelligent assets in CBMs, and provide a tool to assess them, other existing case studies and future circular initiatives.…”

Section: Methodological Proceduresmentioning

confidence: 99%

“…Circular economy limits the flow of production to a level that nature tolerates and uses ecosystem cycles in economic cycles, respecting their natural rates of reproduction" [23], (pp. [38][39].…”

Section: Circular Economymentioning

confidence: 99%

Circular Economy Model Enhanced by Intelligent Assets from Industry 4.0: The Proposition of an Innovative Tool to Analyze Case Studies

2020

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Although the circular economy (CE) is recognized as a source of value creation, there is a huge gap between the vast concept of CE and its practical applications. Particularly, the lack of information and performance indicators, in terms of economic, environmental and social aspects, does not allow for the assessment of the level of circularity of the products, processes or companies. Further development of other circular activities can be limited for this reason. In addition, intelligent assets arising with the digital transformation within the “Fourth Industrial Revolution (I4.0)” can support CE to provide these lacking aspects. Thus, the objective of this paper is to highlight how and how much the circular business models are enhanced by intelligent assets from I4.0, considering several case studies found in the literature, and through the application of an assessment tool with secondary data from the selected case studies. According to the tool, the CE principles are extended to the entire product lifecycle, from product design to product utilization, within the transition to novel business strategies. Two of the considered case studies are represented in the assessment tool, as examples, to demonstrate how intelligent assets can support circular economy in the design, assessment and comparison of circular initiatives. The visualization of existing innovative business models based on CE and enhanced by intelligent assets allows for the complete and effective evaluation of materials, products, assets and processes, due to the fact that information and indicators can be collected to measure and monitor circular efficiency.

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Circular Economy Models in the Industry 4.0 Era: A Review of the Last Decade

Cited by 51 publications

References 14 publications

Digital Technologies, Circular Economy Practices and Environmental Policies in the Era of COVID-19

Digital Technologies, Circular Economy Practices and Environmental Policies in the Era of COVID-19

Industry 4.0 Disruption and Its Neologisms in Major Industrial Sectors: A State of the Art

Circular Economy Model Enhanced by Intelligent Assets from Industry 4.0: The Proposition of an Innovative Tool to Analyze Case Studies

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