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Cited by 14 publications
(12 citation statements)
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“…Li et al 2015) or implementing smart manufacturing practices (Kusiak 2018) (see Table 5). In rare cases, experts focused on exploitation of BDA for other reasons, such as improving disassembly sequence planning (Marconi et al 2018), considering recycling issues during product design (Lin 2018), assessing cost (Angioletti, Despeisse, and Rocca 2017) x (Bassi 2017) x (Bloomfield and Borstrock 2018) x (Clemon and Zohdi 2018) x x (Dutta et al 2001) x (Giurco et al 2014) x (Lahrour and Brissaud 2018) x (Le, Paris, and Mandil 2017a) x (Le, Paris, and Mandil 2017b) x (Leino, Pekkarinen, and Soukka 2016) x (Ma et al 2018) x (Mandil et al 2016) x (Mattos Nascimento et al 2018) x (Millard et al 2018) x (Minetola and Eyers 2018) x x (Müller et al 2018) x (Santander et al 2018) x (Sauerwein, Bakker, and Balkenende 2017) x (Sauerwein and Doubrovski 2018) x (Schmidt et al 2017) x (Sheng Yang et al 2017) x (Syed-Khaja, Perez, and Franke 2016)…”
Section: Big Data and Analyticsmentioning
confidence: 99%
See 1 more Smart Citation
“…Li et al 2015) or implementing smart manufacturing practices (Kusiak 2018) (see Table 5). In rare cases, experts focused on exploitation of BDA for other reasons, such as improving disassembly sequence planning (Marconi et al 2018), considering recycling issues during product design (Lin 2018), assessing cost (Angioletti, Despeisse, and Rocca 2017) x (Bassi 2017) x (Bloomfield and Borstrock 2018) x (Clemon and Zohdi 2018) x x (Dutta et al 2001) x (Giurco et al 2014) x (Lahrour and Brissaud 2018) x (Le, Paris, and Mandil 2017a) x (Le, Paris, and Mandil 2017b) x (Leino, Pekkarinen, and Soukka 2016) x (Ma et al 2018) x (Mandil et al 2016) x (Mattos Nascimento et al 2018) x (Millard et al 2018) x (Minetola and Eyers 2018) x x (Müller et al 2018) x (Santander et al 2018) x (Sauerwein, Bakker, and Balkenende 2017) x (Sauerwein and Doubrovski 2018) x (Schmidt et al 2017) x (Sheng Yang et al 2017) x (Syed-Khaja, Perez, and Franke 2016)…”
Section: Big Data and Analyticsmentioning
confidence: 99%
“…Regarding the I4.0 perspective, many contributions assessed the potential support offered by key enabling technologies to companies (Ge and Jackson 2014;Isaksson, Hallstedt, and Öhrwall Rönnbäck 2018;He, Xu, and Xu 2010;Gorissen, Vrancken, and Manshoven 2016). However, only in a very few cases was the environmental benefit (the circularity level) reachable through the adoption of I4.0-based technologies assessed (Angioletti, Despeisse, and Rocca 2017;Lahrour and Brissaud 2018;van Schaik and Reuter 2016). Starting from these premises, this paper has several aims: (i) to investigate how I4.0 technologies influence the CE and (ii) to classify these relations through an innovative framework.…”
Section: Introductionmentioning
confidence: 99%
“…Circular production systems need to monitor environmental impacts and provide these as feedback to the processing stages [32,33]. Industrial symbiosis may be used to proactively exchange resources such as raw materials, agricultural harvests, wastes, energy, and water for communities of businesses in close proximity, including reverse supply chains consisting of suppliers, plants, distributors, retailers, customers, collection centers, refurbishing centers, and manufacturing so that the actions are consistent with ecological principles [33][34][35][36][37].…”
Section: Production Circularity Assessmentmentioning
confidence: 99%
“…A product circularity assessment methodology has been proposed based on four principles: use less, absorb circularities, generate circularities, and use renewable resources [22]. However, although energy, materials, and auxiliary resources are considered, the environmental impact is viewed only in relation to traditional alternatives and there is no consideration of the open-loop recycling of waste and byproduct treatment.…”
Section: How Have Researchers Viewed Ce In a Business Context?mentioning
confidence: 99%