Availability Analysis of an Industrial System under the Provision of Replacement of a Unit using Genetic Algorithm
Mohit Kumar Kakkar1, Jasdev Bhatti2, Reetu Malhotra3, Manpreet Kaur4, Deepika Goyal5
1Mohit Kumar Kakkkar*, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
2Jasdev Bhatti*, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
3Reetu Malhotra, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
4Manpreet Kaur, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
5Deepika Goyal, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.
Manuscript received on October 12, 2019. | Revised Manuscript received on 23 October, 2019. | Manuscript published on November 10, 2019. | PP: 1236-1241 | Volume-9 Issue-1, November 2019. | Retrieval Number: L33021081219/2019©BEIESP | DOI: 10.35940/ijitee.L3302.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main aim of this research work is to present a reliability and availability analysis of a three-unit system (A, As , B) under the provision of replacement of a unit using the Genetic algorithm. One unit is in standby mode so that after the failure of one unit it can be active. But one unit which is dissimilar to the previous one can be replaced with the new one after the failure. It has been considered that there is only one repair man availability within the organization. Here in this paper we have used the Genetic algorithm for finding out the optimized availability of the system and also with the assistance of numbers of graphs we have analyzed reliability characteristics, availability of the framework, so the result of the paper will be very useful for the industry people.
Keywords: Availability, Genetic Algorithm
Scope of the Article: Algorithm Engineering