Simulation and Modeling Analysis in Manufacturing Process
R.Uday Kumar

Dr. R. Uday Kumar, Assistant professor, Department of Mechanical Engineering, Mahatma Gandhi Institute of Technology, Hyderabad (Telangana) India.
Manuscript received on 21 January 2013 | Revised Manuscript received on 28 January 2013 | Manuscript published on 30 January 2013 | PP: 90-92 | Volume-1 Issue-6, January 2013 | Retrieval Number: F0433021613/2013©BEIESP
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Abstract: In the modern world class manufacturing it is of prime importance for modern management to make crucial decisions quickly and accurately to stand at the global competitive cutting edge. In many real life situations the main interest concern the prediction of how a system will perform under various conditions of change in the environment as well as with in the system. Experimenting on real system is not always feasible, so it is carried on some representative unit of the system. This unit is called a model and the process modeling. Simulation is a technique of systems modeling and analysis that involves mathematical models of a dynamic nature which are solved numerically. Simulation is a powerful and scientific method, which is widely, applied methodology for studying the behaviour of a variety of systems in order to develop solutions to problems in their design and operation. An overview of simulation modeling and analysis is recent advancements in this field, recommendations for selecting right simulation software, related technologies like artificial intelligence techniques, how they are integrated with computer simulation modeling and benefits due to development of these hybrid technologies. Computer simulation is one of the popular experimental investigation techniques as it involved reduced costs, time and risks compared to experimenting decision alternatives with real world system in real time. In the computer simulation, developing the models of the real systems on the computer has carried out experimentation. The use of simulation mathematical models has been proposed to reduce the computer costs of simulation while making use of its potential of predicting the performance of complex system.
Keywords: Simulation, Modeling, Manufacturing Process

Scope of the Article: Manufacturing IoT