Reducing the probability of failure in manufacturing equipment by quantitative FTA analysis.
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Fault Tree Analysis (FTA) is a method that directly focuses on themodes of failures. The FTA is a graphical representation of the majorfaults or critical failures associated with a product, as well as the causes. for the faults and potential countermeasures. The aim of this researchpaper is to calculate the probability of the top event – the failure of theprocess using FTA and propose a technique to prioritize factors for ac-tion design and reduce the likelihood of a top event failure based onmanufacturers' requirements. We have constructed a qualitative faulttree to produce office components packed and sealed in blister packsusing a KOCH KBS-PL machine. We defined the top event G – theproduction of office components, packed and sealed in blister packs onthe machinery KOCH KBS-PL. Then we defined events leading to topevents down to individual failure factors. Based on the links betweenthe fault tree and the probability of failure, we performed a quantitativeanalysis to determine the probability of failure of individual events. Wefound out that the probability of failure of G is 5.04%. Subsequently,we identified which factors most significantly reduce the resulting prob-ability of failure of factor G. These are the factors: E – feed rate,F – cooling, AL – incorrect setting and D – break. It has been proventhat by controlling these 4 factors, we can reduce the probability of fail-ure of top event G to 2.36%, provided that effective measures are taken.The final proposal meets the requirements of several manufacturers fora fast, efficient, and cost-effective solution. We have created a proposalthat saves time, has minimal software and hardware requirements, andis easy to use. The efficiency and effectiveness of the proposal was thatwe identified the weakest points in the fault tree that most significantlycause the top event to fail. This prioritized the factors for the design ofthe measures.
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Rekord utworzony: | 7 listopada 2023 14:22 |
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Ostatnia aktualizacja: | 7 listopada 2023 14:22 |