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dc.contributor.authorYUVARAJ, N.-
dc.date.accessioned2021-03-16T05:13:41Z-
dc.date.available2021-03-16T05:13:41Z-
dc.date.issued2020-07-
dc.identifier.urihttp://dspace.dtu.ac.in:8080/jspui/handle/repository/18279-
dc.description.abstractThe Information and Communications Technology shows dominant role in manufacturing and supply chain for improving the business. This report focuses on recent applications and challenges of big data analytics with IoT enabled in smart connected products in supply chain and interlinking with global operations. It discovering the operational constraints, and understanding the different IT techniques in supply chain and smart manufacturing. The project focuses on approach of multi-criteria decision model for finding the order of preferences in production of surfaces. Finally, TOPSIS is successful method to recognize the order of preference in various alternatives. In this study experiments are conducted to fabricate surface layer on the materials by Friction Stir Processing method which is based on green welding process. Different six environment conditions such as (i) dry air (ii) with dry ice (iii) submerged with water (iv) cryogenic (v) ultrasonic vibration and (v) ultrasonic vibration with cryogenic conditions has been selected. The material properties such as, microhardness, grain size, tensile strength, wear rate and friction coefficient has been investigated from the fabricated surfaces. Based on the experimental results and importance of the specific applications to the properties the weights have been assigned. From the TOPSIS technique best method fabricating method of ultrasonic vibration with cryogenic conditions has been identified to fabricate surface layer.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesTD-5129;-
dc.subjectICT IN MANUFACTURINGen_US
dc.subjectSUPPLY CHAINen_US
dc.subjectFABRICATION METHODen_US
dc.subjectTOPSISen_US
dc.titleROLE OF ICT IN MANUFACTURING SUPPLY CHAIN : AN EXPERIMENTAL METHOD USING TOPSIS FOR SELECTION OF BEST FABRICATION METHODen_US
dc.typeThesisen_US
Appears in Collections:MBA

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