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Research Paper | Manufacturing Engineering | India | Volume 8 Issue 8, August 2019

Discrete Event Simulation for Digital Manufacturing Productivity

Dr. Dushyanth Kumar K.R

Abstract: Production processes of every organizations and their product life cycle involved various complexity while explaining the product concept and its activities of work flow to outside the manufacturing unit same way, how to describe this process accurately to identify potential problems in the process effectively is extremely important for the inside people also. So the discrete manufacturing shows the complete activities in simulation form to understand the product flow. Discrete manufacturing shows clearly the process inefficiencies and errors in the work flow which gives the clear picture about the each and every function in the organization. Manufacturing Systems provide one of the most important applications of simulation. Simulation has been used successfully as an aid in the design of new production facilities and as well to evaluate suggested improvements to existing systems for the further improvement in manufacturing process. In this work the few capabilities available in the latest versions of discrete event simulation tool are to be used to support digital factory and to increase the productivity of the manufacturing by considering few cases of manufacturing situations Here the Tecnomatix plant simulation software is used to support the simulation and manufacturing process. Through which, user can optimize the material flow, resource utilization and logistic services for all levels of plant planning from global production facilities, through local plants for which, A typical case study in a small scale industry is taken up in presently for detail explanation of discrete manufacturing system through proper simulation software to improve the productivity of an organization is described comparing to earlier performance.

Keywords: Discrete manufacturing, Process flow, Manufacturing efficiency

Edition: Volume 8 Issue 8, August 2019,

Pages: 2280 - 2288

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