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A method of Functional Test interval selection with regards to Machinery and Economical aspects

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This paper discusses the problem of choosing the optimal frequency of functional test, including the reliability calculations and production efficiency, but also the effect of company risk management. The proof test as a part of the functional test interval is well described for the process industry. Unfortunately, this situation is not the case for the machinery safety functions with low demand mode. Afterwards, it is presented current approach of companies, which to pursuing industrial excellence monitor their activity through appropriately selected key performance indicators, which enable, among other things, to increase productivity. In addition, companies are increasingly exploring potential risks in the face of new challenges as a part of sophisticated risk management, including the perception of the enterprise plants as a safe place for work, by customers and business partners. In the elimination of potential risks, the influence of human and its interaction with machines is increasingly taken into account. To illustrate the issue a tire cord twisting machines are used in the case study. In this article, the authors propose a solution in the selection of the functional test interval of safety function and complementary protective measures of machinery as a compromise to obtain satisfactory results regarding safety requirements, productivity indicators and risk management issues.

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Kategoria:
Aktywność konferencyjna
Typ:
materiały konferencyjne indeksowane w Web of Science
Tytuł wydania:
Contemporary Computational Science : 3rd conference on Information Technology, Systems Research and Computational Physics strony 31 - 44
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
Piesik J., Piesik E., Śliwiński M..: A method of Functional Test interval selection with regards to Machinery and Economical aspects, W: Contemporary Computational Science : 3rd conference on Information Technology, Systems Research and Computational Physics, 2018, ,.
Weryfikacja:
Politechnika Gdańska

wyświetlono 144 razy

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