Reliability modeling strategy of an industrial system

Author

Rizwan, S.M.

Author_Institution

Dept. of Math. & Sci., Caledonian Coll. of Eng., Oman

fYear

2006

fDate

20-22 April 2006

Abstract

This paper outlines a reliability modeling strategy and its application to the industry. Since many industries are operated and controlled by programmable logic controllers, a modeling strategy, inspired by reliability analysis and using the data available for one of the biscuit manufacturing industry is suggested. System effectiveness is analyzed and various reliability indices are obtained using semi-Markov and regenerative processes. Profit incurred to the system is obtained mathematically. Graph is essentially established to study the pattern of profit with respect to revenue per unit up time for the case example under study.

Keywords

Markov processes; bakeries; food manufacturing; food processing industry; industrial control; programmable controllers; regression analysis; biscuit manufacturing industry; industrial system; programmable logic controllers; regenerative process; reliability modeling strategy; semiMarkov process; Availability; Control systems; Educational institutions; Electrical equipment industry; Failure analysis; Industrial control; Manufacturing industries; Mathematics; Programmable control; Reliability engineering; Failures; Programmable Logic Controller (PLC); Regenerative; Repairs; Semi-Markov Process;

fLanguage

English

Publisher

ieee

Conference_Titel

Availability, Reliability and Security, 2006. ARES 2006. The First International Conference on

Print_ISBN

0-7695-2567-9

Type

conf

DOI

10.1109/ARES.2006.107

Filename

1625366