Manufacturing System Modeling and Performance Analysis of Mineral Water Production Line using ARENA Simulation 
Dereje Geleta Oljira1, Temesgen Garoma Abeya2, Gutu Ofgera3, Mahesh Gopal4
1Dereje Geleta Oljira*, Mechanical Engineering Department, College of Engineering and Technology, Wollega University, Post Box No: 395, Nekemte, Ethiopia.
2Dr. Temesgen Garoma Abeya, Mechanical Engineering Department, College of Engineering and Technology, Wollega University, Post Box No: 395, Nekemte, Ethiopia.
3Gutu Ofera, Mechanical Engineering Department, College of Engineering and Technology, Wollega University, Post Box No: 395, Nekemte, Ethiopia.
4Dr. Mahesh Gopal, Mechanical Engineering Department, College of Engineering and Technology, Wollega University, Post Box No: 395, Nekemte, Ethiopia.
Manuscript received on April 11, 2020. | Revised Manuscript received on May 15, 2020. | Manuscript published on June 30, 2020. | PP: 312-317 | Volume-9 Issue-5, June 2020. | Retrieval Number: D8033049420/2020©BEIESP | DOI: 10.35940/ijeat.D8033.069520
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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: Today’s scenario all manufacturing organizations are moving rapidly to adopt new process modeling, performance analysis through simulation, in order to design a new costeffective system. Organizations made several changes in their manufacturing systems to increase profit and to sustain their significance in global markets. Simulation modeling is a well accepted technique for improving process performance. In this study, the mineral water company operates the production line with less throughput, long cycle times, frequent machine failures and insufficient utilization of its resources. A simulation model is developed for the successful bottling and packaging of the production line by using Arena simulation software. The model is developed for AMWSC packaging process for returnable glass bottle Production Line. This model eliminates the bottlenecks in production line and provides optimal performance. By applying Effective Preventive Maintenance Strategy, the production line throughput is increased from 21.12% to 54.03% and the cycle time is reduced by 33.33%.
Keywords: System Modeling, Bottling Company, Arena Simulation, Production Line, Performance Analysis.