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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chorghe, Shriprasad | en_US |
dc.contributor.author | Kumar, Rishi | en_US |
dc.contributor.author | Pandhare, Vibhor | en_US |
dc.contributor.author | Lad, Bhupesh Kumar | en_US |
dc.date.accessioned | 2024-10-25T05:50:57Z | - |
dc.date.available | 2024-10-25T05:50:57Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Chorghe, 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/s10845-024-02484-2 | en_US |
dc.identifier.issn | 0956-5515 | - |
dc.identifier.other | EID(2-s2.0-85203393093) | - |
dc.identifier.uri | https://doi.org/10.1007/s10845-024-02484-2 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/14691 | - |
dc.description.abstract | In 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.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.source | Journal of Intelligent Manufacturing | en_US |
dc.subject | Cyber physical system | en_US |
dc.subject | Dynamic scheduling | en_US |
dc.subject | Industry 4.0 | en_US |
dc.subject | Literature review | en_US |
dc.subject | Smart manufacturing | en_US |
dc.subject | Smart scheduling | en_US |
dc.title | Smart scheduling for next generation manufacturing systems: a systematic literature review | en_US |
dc.type | Journal Article | en_US |
Appears in Collections: | Department of Mechanical Engineering |
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