Abstract: This paper presents a reliability model for Metal Treatment Station (MTS) system in piston foundry with facility of repair. The MTS system is used to predict best treatment practices based on a combination of melting temperature, rotor design and environmental conditions. In the present model, six Multi Level Die Block (MLDB) systems are divided into two systems containing three MLDBs each and they are termed as: system 1 and system 2. Both the systems have their own repairman. System 1 contains the three MLDBs with one main unit, i.e., Robotic A and system 2 also contains the three MLDBs with one main unit, i.e., Robotic B. Initially, two MTS appliances are operative and the third MTS is in cold standby state. For the functioning of the whole system, two MTS appliances should operate. The cold standby MTS is common for both the systems. On the failure of one of the MTS, the standby MTS becomes operative and if in meanwhile, second MTS fails, then it will wait for the standby MTS system. The semi-Markov process and regenerative point technique have been used to derive the expressions for various measures of reliability. A particular case is considered to highlight the results graphically.
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Keywords and phrases: MTS, MLDB systems, robotic, semi-Markov process, regenerative point technique.
Received: February 25, 2022; Revised: June 24, 2022; Accepted: June 29, 2022; Published: July 20, 2022
How to cite this article: Ramanpreet Kaur and Upasana Sharma, Reliability and profit analysis of a metal treatment station (MTS) system with effect of waiting time for standby MTS, Advances and Applications in Statistics 79 (2022), 67-81. http://dx.doi.org/10.17654/0972361722060
This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License
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