Performance Evaluation and Optimization of Manufacturing Assembly Line by using Discrete Event Simulation
K. Amarnath1, P. Surendernath2, M. Gangadhar3
1K. Amarnath, Assistant Professor, Kamala Institute of Technology and Science, Huzarabad, Karimnagar (Dist), Telangana (State), India.
2P. Surendernath, Assistant Professor, Kamala Institute of Technology and Science, Huzarabad, Karimnagar (Dist), Telangana (State), India.
3M. Gangadhar, Assistant Professor, Kamala Institute of Technology and Science, Huzarabad, Karimnagar (Dist), Telangana (State), India.
Manuscript received on 21 April 2019 | Revised Manuscript received on 26 May 2019 | Manuscript published on 30 May 2019 | PP: 3430-3434 | Volume-8 Issue-1, May 2019 | Retrieval Number: A9994058119/19©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: TIn today’s global competition expectation of customers’ and their needs are changing rapidly; this situation force organizations to work more effectively in their production processes due to different reasons. Discrete event simulation is a powerful tool in simulating and evaluating the performance of real time systems. In this performance evaluation the virtual environment of an Extrusion dies manufacturing and assembly line is built by object-oriented modelling technology. The simulation software is used to identify the problems in manufacturing and assembly line delays to reach target by simulating, collecting simulation data and analyzing simulation results, so that the overall efficiency and productivity of the plant assembly line is improved with same number of cells, labours, and working hours. The main aim of this paper is to reduce idle time improve the performance of different sections and human activities and hence improve the productivity of the organization.
KEYWORDS: Performance, Simulation, Extrusion Dies
Scope of the Article: Performance Evaluation of Networks