Sensitivity analysis of a preventive maintenance scheduling model

Oke, Sunday Ayoola; Oluleye, Ayodeji; Oyawale, F. A.; Charles-Owaba, O. E.

doi:10.1504/ijise.2008.017422

Cited by 7 publications

(2 citation statements)

References 17 publications

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“…Figure 2 describes the three causes of breakdown. Source: The breakdown of equipment contributes to cost of production and affects the overall equipment efficiency significantly in production lines that are automated due to downtime unplanned (Oke et al 2020). This problem takes place through failure in machine along the lines of manufacturing and cause to loss in time of production thus reducing plant productivity (Ab-Samat et al 2012).…”

Section: Introductionmentioning

confidence: 99%

“…A production system's downtime and reliability can be investigated through use of pareto chart, Weibull, and reliability/failure time analysis. The pareto chart further analysis the factors that contributes to approximately eighty per-cent downtime (Oke et al 2021), while Weibull are models used for description of various observed failures of systems and phenomena (Raju et al 2018).…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Equipment Failure in a Production Line of a Coal Fly Ash Plant

Tau,

Edoun,

Mbohwa

et al. 2023

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Most manufacturers are striving to manage and improve their operations at the perspective of manufacturing costs. Equipment failures and breakdowns should be kept at minimal as possible, thus to increase availability of equipment within a production line. A coal fly ash processing plant experienced continuous equipment breakdowns or failures which resulted in loss of production time. Data was collected on a 31 days period to identify types of failures or breakdown and their frequency of occurrences, and time spent by maintenance personnel to rectify the failures. Cause and effect diagrams were used in order to assess the causes that lead to overall effect of failures. It was identified that pipe conveyor belt failure was as a result of torn metallic structures, belt not fitting fully on idlers, deformed idlers and belt was unfolding at any point on the station while running. Furthermore, pipeline leakages were also identified as contributing factors to failures. Pareto chart was used to analyse the failures and it was identified that 80% of the pipe conveyor belt failure are caused by belt not fitting fully on idlers, torn metallic structure and deformed idlers, meanwhile 20% are caused as a result of belt unfolding at any point while running. Meanwhile in the case of pipeline leakages, 80% of pipeline leakages caused by high coal fly ash operating flow rate and coal fly ash being corrosive which resulted with pipeline being torn, while 20% of the leaks were due to improper sealing on divetor valve. It was concluded that incorrect maintenance procedures lead to the overall continuous failures at the plant and recommendations were made which mainly emphasised the implementation of maintenance program.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%