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Innovation designs of industry 4.0 based solid waste management: Machinery and digital circular economy

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dc.citedby9
dc.contributor.authorCheah C.G.en_US
dc.contributor.authorChia W.Y.en_US
dc.contributor.authorLai S.F.en_US
dc.contributor.authorChew K.W.en_US
dc.contributor.authorChia S.R.en_US
dc.contributor.authorShow P.L.en_US
dc.contributor.authorid57741711800en_US
dc.contributor.authorid57214072628en_US
dc.contributor.authorid57741730200en_US
dc.contributor.authorid57192980692en_US
dc.contributor.authorid57741831800en_US
dc.contributor.authorid47861451300en_US
dc.date.accessioned2023-05-29T09:36:26Z
dc.date.available2023-05-29T09:36:26Z
dc.date.issued2022
dc.descriptiondesign; innovation; machinery; solid waste; waste management; article; artificial intelligence; big data; cloud computing; economic aspect; human; internet of things; machine learning; radiofrequency identification; solid waste; solid waste management; systematic review; waste management; wireless communication; worker; artificial intelligence; industry; machine learning; solid waste; waste management; Artificial Intelligence; Humans; Industry; Machine Learning; Solid Waste; Waste Managementen_US
dc.description.abstractThe Industrial Revolution 4.0 (IR 4.0) holds the opportunity to improve the efficiency of managing solid waste through digital and machinery applications, effectively eliminating, recovering, and repurposing waste. This research aims to discover and review the potential of current technologies encompassing innovative Industry 4.0 designs for solid waste management. Machinery and processes emphasizing on circular economy were summarized and evaluated. The application of IR 4.0 technologies shows promising opportunities in improving the management and efficiency in view of solid waste. Machine learning (ML), artificial intelligence (AI), and image recognition can be used to automate the segregation of waste, reducing the risk of exposing labour workers to harmful waste. Radio Frequency Identification (RFID) and wireless communications enable the traceability in materials to better understand the opportunities in circular economy. Additionally, the interconnectivity of systems and automatic transfer of data enable the creation of more complex system that houses a larger solution space that was previously not possible such as centralised cloud computing to reduce the cost by eliminating the need for individual computing systems. Through this comprehensive review-based work, innovative Industry 4.0 components of machinery and processes involving waste management which focuses on circular economy are identified with the critical ones evaluated briefly. It was found that the current research and work done is based on applying Industry 4.0 technologies on individual waste management systems, which lacks the coherency needed to capitalise on technologies such as cloud computing, interconnectivity, big data, etc on a larger scale. Therefore, a real world comprehensive end-to-end integration aimed to optimize every process within the solid waste management chain should be explored. � 2022 Elsevier Inc.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo113619
dc.identifier.doi10.1016/j.envres.2022.113619
dc.identifier.scopus2-s2.0-85131966939
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85131966939&doi=10.1016%2fj.envres.2022.113619&partnerID=40&md5=ac1ff1086115e0267d7a4984509e02b8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26739
dc.identifier.volume213
dc.publisherAcademic Press Inc.en_US
dc.sourceScopus
dc.sourcetitleEnvironmental Research
dc.titleInnovation designs of industry 4.0 based solid waste management: Machinery and digital circular economyen_US
dc.typeArticleen_US
dspace.entity.typePublication
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