Seru System For Productivity Enhancement and Sustainable Planning
od Deepthi, T Venkata
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In the current days of inventions instigated by the market, India is going to be the tough bet targeting the top position in the World. Market characterized by Volatility, Uncertainty and complexity is the driving force for all novelties time to time in the competitive market .A two-stage Heuristic and Modified Moth Flame Algorithm applied for the efficient planning of skilled manpower required for Seru to attain the momentous outcome towards attaining of expected results. This approach proposed generates couple of substitute Pareto efficient Results with reduced CO2 footsteps in various occasions. The results calculated will harvest a balanced production process thus ensuring the productivity of the invented procedure. Scholar observed significant changes during his investigation on training cost and proper assignment of skilled manpower on numerous programmed Seru systems on the grid of firms. Using Ontology, the observations/findings are being transformed into a language called XML, using Semantic Web Language, Web Ontology Language to improve exchangeability of data models of product and production assets situated at given scenario of network.
Deepthi, T Venkata
Radha, N Tulasi
Deepthi, T VenkataDr. T Venkata Deepthi, Associate Professor, MREC(A), having 13 years of teaching experience and published papers in various journals. Member ships-ASME,IFERP,IAENG.Dr. N.Tulasi Radha, Associate Professor, MREC(A), having 14 years of teaching experience and also worked as HOD 5 years and published papers in various journals.
LAP Lambert Academic Publishing
Książka z miękką oprawą
0.22 x 0.15 x 0.008 m; 0.245 kg