Application of Discrete Event Simulation Towards Production Improvement
Sachin N K1, B S Shivakumara2, V Sridhar3
1Sachin N K, Research scholar, Professor, P.E.S College of Engineering, Mandya, Karnataka, India.
2B S Shivakumara, Professor, P.E.S College of Engineering, Mandya, Karnataka, India.
3V Sridhar, Professor, P.E.S College of Engineering, Mandya, Karnataka, India.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 24 May 2019 | PP: 656-659 | Volume-8 Issue-6S3 April 2019 | Retrieval Number: F11310486S319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Simulation modelling is an exceptional tool for exploring and optimizing dynamic processes. Specifically, when mathematical optimization of complex systems becomes infeasible, and when leading experiments within tangible systems is too expensive, time consuming, or dangerous, simulation becomes a powerful tool. In real world manufacturing, simulation empowers the visualization, exploration and optimization of production structures and logistics processes. Simulation aids to construct digital replicas of production systems so we can sightsee system characteristics and boost their performance. The digital superlative not only empowers users to track experiments and what-if circumstances without distressing a present production system. This paper illustrates how Discrete event simulation may be used to evaluate throughput, relieve bottlenecks, minimize work-in-process, energy usage of machines and also dynamic impact of enactment parameters, including production workload, idle, repair and breakdowns time and special vital recital factors. So that problem can be easily identified, analyzed and modified within a petite time.
Keywords: Discrete Event Simulation, Productivity, Utilization, Optimization.
Scope of the Article: Applied Mathematics and Mechanics