Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/25685
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShahatha Al‐Mashhadani, A.F.,-
dc.contributor.authorQureshi, M.I.,-
dc.contributor.authorHishan, S.S.,-
dc.contributor.authorMd Saad, M.S.,-
dc.contributor.authorVaicondam, Y.,-
dc.contributor.authorKhan, N.-
dc.contributor.authorUniKL BiS-
dc.date.accessioned2022-09-23T04:49:36Z-
dc.date.available2022-09-23T04:49:36Z-
dc.date.issued2021-05-
dc.identifier.citationAbdulrazak F Shahatha Al-Mashhadani, Qureshi, M. I., Hishan, S. S., Mohd Shamsuri, M. S., Vaicondam, Y., & Khan, N. (2021). Towards the development of digital manufacturing ecosystems for sustainable performance: Learning from the past two decades of research. Energies, 14(10), 2945. doi:https://doi.org/10.3390/en14102945en_US
dc.identifier.issn19961073-
dc.identifier.urihttp://hdl.handle.net/123456789/25685-
dc.descriptionThis article is index by Scopusen_US
dc.description.abstractAlthough the Internet of Things (IoT), advanced manufacturing technologies, and cloud manufacturing contribute to developing a digital manufacturing ecosystem that enhances energy efficiency and resource utilization, manufacturing processes are vulnerable to timely production and delivery. The digital manufacturing systems in Industrial Revolution 4.0 (IR 4.0) minimized the human‐technology interactions to foster productivity and material flow. However, there is scarce research to gauge the efficiency of these digital technologies in the entire manufacturing process; also, little is known about the collaborative efforts among countries to achieve sustainable manufacturing performance through the digitalization of the production process. Thus, this systematic review aimed to highlight the effectiveness of the digital manufacturing systems for sustainable product development and the collaborative research on the subject. We selected 52 research articles for this review by following the 2015 Preferred Reporting Items for Systematic Review and Meta‐ Analysis Protocols (PRISMA) statement. The literature classifications were developed using text frequency algorithms in VOSviewer (Centre for Science and Technology Studies, Leiden University, The Netherlands) Results exposed literature from 2005 to 2020 can be categorized into four major research streams: digital transformation, digital manufacturing ecosystem, performance manage-ment, and sustainability. The study’s findings revealed that the manufacturing processes are moving towards the IoT, digital devices, and smart factories that are entirely dependent on digital tech-nologies. The digital manufacturing ecosystem is dependent on the availability of digital technologies to all stakeholders. The study concluded that digital technologies are improving manufacturing efficiency and process effectiveness. However, this requires infrastructure that primarily available in developed countries; thus, the digital transformation in underdeveloped regions is deliberate and requires more collaborative research.en_US
dc.publisherMDPI AGen_US
dc.subjectDigital manufacturingen_US
dc.subjectDigital technol-ogiesen_US
dc.subjectDigital transformationen_US
dc.subjectEcosystemen_US
dc.subjectIoTsen_US
dc.subjectSustainabilityen_US
dc.titleTowards the development of digital manufacturing ecosystems for sustainable performance: learning from the past two decades of researchen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.