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Determination of the diastase activity in honeys

Kuc J., Grochowalski A., Kostina M

Technical Transactions

2017

Vol. 8(114)

29--35

The diastatic number in five samples of honey has been determined by two methods: according to guidelines included in Polish standard PN-88/A-77626 and the Phadebas method. Research shows that the storage of honeys did not have a significant impact on lowering of diastatic number. However, long-term storage of honey was characterized a reduction of the diastase number. The correlation between the two applied methods was very strong (r = 0.921).

Oznaczono liczbę diastazowa w pięciu miodach metodą rekomendowaną w normie PN-88/A-77626 i według metody Phadebas. Badania wskazują, że warunki przechowywania miodów nie miały większego wpływu na obniżenie liczy diastazowej. Jednak przechowywanie miodów przez dłuższy czas powoduje obniżenie wartości liczby diastazowej. Korelacja pomiędzy dwoma stosowanymi metodami była bardzo silna (r = 0,921).

Reliability estimation for manufacturing processes

Kostina M, Karaulova T., Sahno J., Maleki M.

Journal of Achievements in Materials and Manufacturing Engineering

2012

Vol. 51, nr 1

7--13

Purpose: of the current research is to develop a reliability assessment method with an extension of the existing ones and pooling them to a common framework. The system must identify the most unreliable parts of a production process and suggest the most efficient ways for the reliability improvement. Design/methodology/approach: FMEA is in the centre of the proposed framework,a reliability analysis type, the most widely used in enterprises. The current research suggests to extend the FMEA by introducing a classification of faults. In this procedure, Bayesian Belief Network is employed to analyze faults. Findings: An integrated modelling method based on a system modelling and complemented with a reliability evaluation mechanism has the capability to analyse and design manufacturing systems. The tool developed to analyse a production process, enables companies to analyse the process as a whole as well as its parts and achieve efficient prognosis for the production process reorganization. Research limitations/implications: The reliability analysis framework is developed for machinery manufacturing enterprises. Practical implications: The reliability assessment tool helps engineers quickly and with accurate estimate most unreliable places of production process and indicates ways of their elimination with great efficiency. Originality/value: Expansion of FMEA method, application of Bayesian Belief Network for process reliability estimation, usage of reliability estimation during production route creation.