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Bottleneck Identification in a Tyre Manufacturing Plant Using Simulation Analysis and Productivity Improvement

Publication Type : Journal Article

Publisher : Materials Today: Proceedings

Source : Materials Today: Proceedings, Volume 5, Number 11, Part 3, p.24720 - 24730 (2018)

Url : http://www.sciencedirect.com/science/article/pii/S2214785318325707

Keywords : Bottleneck Analysis, Cause-Effect Diagram, Cycle Time Reduction, Discrete Event Simulation, Manufacturing system Simulation, Pareto Analysis, Throughput Analysis.

Campus : Coimbatore

School : School of Engineering

Department : Mechanical Engineering

Year : 2018

Abstract : It is vital to improve productivity with cutting edge technology for any manufacturing or service industry. Quality with quantity helps a company to stay in competition. Technology has developed greatly to meet the customers’ demand. The elimination of waste with increased productivity leading to hike in profit should be the target of the manufacturing sector. The tyre manufacturing company in which the study was carried out requires reduction in non-value added activities, bottlenecks and processing time to increase productivity. The paper presents the current process simulation undergone in a tyre manufacturing plant. The simulation study found that the actual figures produced in the plant matched the 1170 units per day throughput. The simulation reveals the calendering process as the bottleneck present in the plant. The Pareto analysis used confirms the bottleneck simulation analysis result. Root causes for problems were identified using 5 why analysis and the cause-effect diagram. Solutions were suggested to reduce process times viz the bottleneck experimented, which show an increase in throughput of the tyre manufacturing plant. The bottleneck can be eliminated by modifying the calendering machine to increase productivity by 15.81%. The breakeven time for installation costing 3.5crores will be for 88 days. By going with an automated temperature measuring system, the total productivity can be increased by 18.8% from the existing scenario.

Cite this Research Publication : S. Krishnan, A. Dev, S., Suresh, R., A. Sumesh, and K. Ramesh Kumar, “Bottleneck identification in a tyre manufacturing plant using simulation analysis and productivity improvement”, Materials Today: Proceedings, vol. 5, pp. 24720 - 24730, 2018.

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