Work

Role of Artificial Intelligence in Circular Manufacturing: A Systematic Literature Review

Year: 2021

Type: review

Abstract: Circular Economy (CE) empowers firms (micro-level), network of firms (meso-level), cities, regions and nations (macro-level) sustainability. CE potentialities in making regenerate resources are even greater if supported by technologies, and Artificial Intelligence (AI) is gaining momentum in this regard. The extant literature presents a limited investigation of the exploitable synergies among CE and AI at the different scales of CE adoption in manufacturing, also named Circular Manufacturing (CM). Indeed, this paper entails a systematic literature review to investigate the state-of-the-art in this domain proposing future research opportunities. Among the findings, AI exploitation is advanced at micro-level, whilst the meso-level, macro-level, and the synergies among the three levels require further exploration.

Source: IFAC-PapersOnLine

DOI: 10.1016/j.ifacol.2021.08.040

Authors: Federica Acerbi, Dai Andrew Forterre, Marco Taisch

Institution: Politecnico di Milano

Language: English

Topic: Sustainable Supply Chain Management

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production

Open Access status: diamond

OpenAlex ID: W3214597440

FWCI: 0.709

Cites: 25

Cited by: 63

Related to: 10