Seru System For Productivity Enhancement and Sustainable Planning

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.

Autorentext

O Dr. T Venkata Deepthi, que trabalha como Professor Associado no MREC(A), tem 14 anos de experiência de ensino.Dr S Udaya Bhaskar a trabalhar como Professor Associado em MREC(A) tem 14 anos de Experiência de Ensino.O Sr. Ch Ashok Kumar, que trabalha como Professor assistente no MREC(A), tem 8 anos de experiência de ensino.