Using industry 4.0 capabilities for identifying and eliminating lean wastes

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dc.contributor.authorRajab, Sulaiman
dc.contributor.authorAfy-Shararah, Mohamed
dc.contributor.authorSalonitis, Konstantinos
dc.date.accessioned2022-05-30T18:52:20Z
dc.date.available2022-05-30T18:52:20Z
dc.date.issued2022-05-26
dc.description.abstractThis paper conducts a review of the literature to identify associations in operations between Industry 4.0 capabilities such as Additive Manufacturing, Augmented Reality, Autonomous Robots, Big Data, Cloud Computing, IIoT, Simulation, and Systems Integration with the commonly identified lean manufacturing wastes of Transport, Inventory, Movement, Waiting, Overproduction, Overprocessing, Defects, and Underutilized skills. The paper documents research that links various capabilities and wastes, including how IIoT can be used to reduce defects in manufacturing, and how it can mitigate overproduction across industries. There is also evidence that big data implementation in manufacturing has positive effects on reducing waiting times across the manufacturing process and delivery, and that cloud computing technologies guarantee better estimates for product and predicted inventory amounts. The research finds impacts on the social aspect of manufacturing by how augmented reality tools are increasingly used in the manufacturing sector to improve workers’ knowledge, skills, and abilities, and that simulation software applications are capable of decreasing operator motion wastes. The paper concludes that there is a clear benefit for SMEs in using Industry 4.0 in lean implementation journeys, and it supports the efforts of manufacturing organizations to become leaner using Industry 4.0 capabilities and solutions.en_UK
dc.identifier.citationRajab S, Afy-Shararah M, Salonitis K. (2022) Using industry 4.0 capabilities for identifying and eliminating lean wastes. Procedia CIRP, Volume 107, pp. 21-27. 55th CIRP Conference on Manufacturing Systems 2022, 29 June - 1 July 2022, Lugano, Switzerlanden_UK
dc.identifier.issn2212-8271
dc.identifier.urihttps://doi.org/10.1016/j.procir.2022.04.004
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17975
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectLean Manufacturingen_UK
dc.subjectIndustry 4.0en_UK
dc.subjectWastesen_UK
dc.subjectOperations Managementen_UK
dc.titleUsing industry 4.0 capabilities for identifying and eliminating lean wastesen_UK
dc.typeConference paperen_UK

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