Reliability estimation for manufacturing processes

• Autorzy: Kostina M , Karaulova T. , Sahno J. , Maleki M.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

process reliability; Failure Mode and Effect Analysis; FMEA; Bayesian belief network; BBN

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2012
• Tom: Vol. 51, nr 1
• Strony: 7--13
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Kostina M

• Department of Mechanical Engineering, Tallinn University of Technology, Ehitajate tee 5, Tallinn, Estonia

autor

Karaulova T.

• Department of Mechanical Engineering, Tallinn University of Technology, Ehitajate tee 5, Tallinn, Estonia

autor

Sahno J.

• Department of Mechanical Engineering, Tallinn University of Technology, Ehitajate tee 5, Tallinn, Estonia

autor

Maleki M.

• UNIDEMI, Department of Mechanical and Industrial Engineering, Faculdade de Ciencias e Tecnologia da Universidade Nova de Lisboa, Portugal

Bibliografia

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