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Predictive Modelling of a K-Unit Bottling Plants for Reliability Improvement

Salawu, Enesi Y. and Ajayi, O. O. and Inegbenebor, A.O. (2019) Predictive Modelling of a K-Unit Bottling Plants for Reliability Improvement. In: 2nd International Conference on Sustainable Materials Processing and Manufacturing, 2019.

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espective hour of operation. The series network framework consists of a rinser machine, filler machine, capping machine, labeling machine and coding machine. The reliability of each system was evaluated by assuming a failure rate, to each subsystem and the mean time to failure was equally evaluated. Based on the calculation using the predicted model, at a mission hour of 24,168,312 and 456 hours, the respective reliabilities were; 0.3829, 0.0012, 0.0000038 and 0.000000012. The result showed that the reliability of the system decreases drastically with increasing mission time. Based on this result, the productivity of the plants is expected to be very low, hence the need to improve the reliability. The result also showed that the predicted model is good and efficient in predicting and improving plant performance. Further to this results, the reliability of the bottling machines can be improved by applying the developed model.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Failure mode and Effect Analysis, Maintenance, Reliability, Production Technology, Bottling Machines.
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 28 May 2020 11:29
Last Modified: 28 May 2020 11:29

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