Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/14691
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dc.contributor.authorChorghe, Shriprasaden_US
dc.contributor.authorKumar, Rishien_US
dc.contributor.authorPandhare, Vibhoren_US
dc.contributor.authorLad, Bhupesh Kumaren_US
dc.date.accessioned2024-10-25T05:50:57Z-
dc.date.available2024-10-25T05:50:57Z-
dc.date.issued2024-
dc.identifier.citationChorghe, S., Kumar, R., Kulkarni, M. S., Pandhare, V., & Lad, B. K. (2024). Smart scheduling for next generation manufacturing systems: A systematic literature review. Journal of Intelligent Manufacturing. Scopus. https://doi.org/10.1007/s10845-024-02484-2en_US
dc.identifier.issn0956-5515-
dc.identifier.otherEID(2-s2.0-85203393093)-
dc.identifier.urihttps://doi.org/10.1007/s10845-024-02484-2-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/14691-
dc.description.abstractIn the current scenario, smart scheduling has become an essential requirement to generate dynamic schedules, prescribe, and adjust scheduling plans in response to dynamic events such as machine failures, unpredictable demand, customer order cancellations, worker unavailability, and mass customization. Such scheduling techniques must also take advantage of intelligence continuously being built for next-generation manufacturing systems. This study presents a systematic literature review on smart scheduling, analysing 123 identified literature from 2010 to May 2024 using the PRISMA technique. The analysis includes scientometric and content analysis to identify paradigm shifts in development (concepts, methodologies, practices) along with their maturity levels, and provides recommendations for the next generation of smart scheduling. This study is significant for advancing knowledge and addressing current and future needs/requirements in smart scheduling. This would serve as a reference in understanding the maturity status of various developments, assist researchers and practitioners in identifying research gaps, and direct future advancements in the smart scheduling domain. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.sourceJournal of Intelligent Manufacturingen_US
dc.subjectCyber physical systemen_US
dc.subjectDynamic schedulingen_US
dc.subjectIndustry 4.0en_US
dc.subjectLiterature reviewen_US
dc.subjectSmart manufacturingen_US
dc.subjectSmart schedulingen_US
dc.titleSmart scheduling for next generation manufacturing systems: a systematic literature reviewen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Mechanical Engineering

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