International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-9 Issue-1, November 2019 1236 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: L33021081219/2019©BEIESP DOI: 10.35940/ijitee.L3302.119119 Abstract: The main aim of this research work is to present a reliability and availability analysis of a three-unit system (A, A s , 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. I. INTRODUCTION Mathematically, the term reliability is stated as the probability that any framework will do its expected work under specified environment conditions over a specified interval of time. R(t) = P (T ≥ t). Reliable functioning of any complex systems is of extremely concern to the millions of end users that directly or indirectly connected with these systems. But still most of the systems fall short of user's expectation of reliability. Using the concept of redundancy is one of the important techniques to increase the reliability of the systems. This type of systems that are using the concept of standby redundancies have been frequently analyzed by number of authors with different assumptions be-cause of their crucial existence in Revised Manuscript Received on November 05, 2019. * Correspondence Author Mohit Kumar Kakkkar, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. Email: mohit.kakkar@chitkara,edu.in Jasdev Bhatti*, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. Email: jasdev.bhatti@chitkara.edu.in. Reetu Malhotra, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. Email: reetu.malhotra@chitkarauniversity.edu.in Manpreet Kaur, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. Email: manpreet.kaur@chitkara.edu.in Deepika Goyal, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India. Email: deepika.goyal@chitkara.edu.in organizations and modern industries. In the past decades, many articles related to the availability, non- availability, profit function analysis, analysis regarding visit of repair personal and other characteristics considering reliability of three-unit systems have been published. Several studies including Gupta et al. (1986) have analyzed a two-similar unit parallel system with facilities of preventive maintenance (P.M.), inspection and two types of repair. Tuteja and Taneja (1992) discussed the profit analysis of a two-servers including two-units standby framework under many failures. Jansen and Schouten (1995) examined the ideal preventive-upkeep plan for a generation framework comprising of n- indistinguishable parallel production units. In this paper they supposed that the unit’s lifetimes were IFR-distributed, also the assumed that the important expenses were because of generation misfortunes, which were expanding and arched in the quantity of units that were out of operation at the same time. Genuine maintenance expenses were thought to be immaterial when contrasted with the expenses because of those production losses. In the paper written by Xie and Lai (1996) they both studied a mathematical model which was based on two Weibull functions. Jardine et al. (1997) discussed minimized replacement strategy or plan and the framework of software which is under the condition-based maintenance environment. They presented a preventive maintenance (PM) policy depends upon the results of inspections. Barbera et al. (1999) presented a restriction-based maintenance framework with failures under exponential distribution and settled review interims for a two-unit framework series. The state of every unit, for example, vibration or warmth, was observed at similar time interims. The statistical variables for every unit were utilized to pick whether to repair a specified unit or to change the whole framework. At the end of the maintenance, variable takes on its initial figures. They assumed that every unit can fall flat just once inside of an investigation interim and when one or both units fizzle the framework comes up short. Goldberg (2001) made a study on G.A. technique, and examined three basic operators: reproduction, crossover and mutation. Castro and Cavalca (2003) published the work on an availability optimization problem of an industrial system, they used the concept of Genetic Algorithm for getting the maximum availability of the system. Noortwijk et al. (2004) delivered a research paper which was based on probabilistic life-cycle maintenance models for deteriorating civil infrastructures. they compared the two maintenance models of civil infrastructures that was used to achieve the optimum level of Availability Analysis of an Industrial System under the Provision of Replacement of a Unit using Genetic Algorithm Mohit Kumar Kakkar, Jasdev Bhatti*, Reetu Malhotra, Manpreet Kaur, Deepika Goyal