Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/7062
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dc.contributor.authorPurohit, Bhushan S.en_US
dc.contributor.authorLad, Bhupesh Kumaren_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-21T10:52:17Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-21T10:52:17Z-
dc.date.issued2020-
dc.identifier.citationPurohit, B. S., Manjrekar, V., Singh, V., & Lad, B. K. (2020). Integrated decision support system for manufacturing value chain. International Journal of Value Chain Management, 11(3), 199-227. doi:10.1504/IJVCM.2020.109227en_US
dc.identifier.issn1741-5357-
dc.identifier.otherEID(2-s2.0-85093681620)-
dc.identifier.urihttps://doi.org/10.1504/IJVCM.2020.109227-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/7062-
dc.description.abstractThe increasing level of automation in manufacturing calls for a decision support system which simultaneously optimises multiple decisions of a value chain. Current work leverages integrated planning approach for the same and integrates four key functions viz. production, maintenance, quality, and material supply at the parametric level. Such a comprehensive integration of various disjoint functions is not reported in past and thus forms the novelty of current work. Further, a composite performance index called 'overall operations rating (OOR)' is explicated to simultaneously accommodate multiple performance indicators of any manufacturing shop floor. For a specific environment, proposed approach demonstrates a reduction of around 15% in operating cost and improvement of around 12% in OOR as compared to conventional operations planning approaches. Further, the application of the demonstrated approach is extended to a broad range of manufacturing environment which generalises the results. Copyright © 2020 Inderscience Enterprises Ltd.en_US
dc.language.isoenen_US
dc.publisherInderscience Publishersen_US
dc.sourceInternational Journal of Value Chain Managementen_US
dc.titleIntegrated decision support system for manufacturing value chainen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Mechanical Engineering

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