2022
DOI: 10.1007/s12063-022-00271-x
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A conceptual data model promoting data-driven circular manufacturing

Abstract: Circular economy (CE) paradigm fosters manufacturing companies’ sustainability taking place through different circular manufacturing (CM) strategies. These strategies allow companies to be internally committed to embrace circular values and to be externally aligned with several stakeholders not necessarily belonging to the same supply chain. Nevertheless, these CM strategies adoption is limited by heterogeneous barriers, among which the management and sharing of data and information remain the most relevant on… Show more

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Cited by 54 publications
(27 citation statements)
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“…Because of the climate catastrophe, waste management and sustainability challenges in the textile and apparel industries have gained great traction in recent years (Acerbi et al, 2022). In this context, first investigated waste management and sustainability challenges in the production of the five textile value chains.…”
Section: Resultsmentioning
confidence: 99%
“…Because of the climate catastrophe, waste management and sustainability challenges in the textile and apparel industries have gained great traction in recent years (Acerbi et al, 2022). In this context, first investigated waste management and sustainability challenges in the production of the five textile value chains.…”
Section: Resultsmentioning
confidence: 99%
“…The results need to be further discussed, even including the verification of the model in Section 3. Inspired by Acerbi et al (2022), we triangulated this discussion from model, data, and information.…”
Section: Discussionmentioning
confidence: 99%
“…Industry 4.0 and servitization are some of the most current innovations that are changing industrial businesses [25][26][27]. Industry 4.0 is typically associated with bringing value to the production process, whereas servitization is primarily concerned with providing value to customers [17].…”
Section: Digital Servitizationmentioning
confidence: 99%