Reliability is an important phase in durable system designs, specifically in the early phase of the product development. In this paper,\na new methodology is proposed for complex systems� design for reliability. Specific test and field failure data scarcity is evaluated\nhere as a challenge to implement design for reliability of a new product. In the developed approach, modeling and simulation of\nthe system are accomplished by using reliability block diagram (RBD) method. The generic data are corrected to account for the\ndesign and environment effects on the application. The integral methodology evaluates reliability of the system and assesses the\nimportance of each component. In addition, the availability of the system was evaluated using Monte Carlo simulation. Available\ndesign alternatives with different components are analyzed for reliability optimization. Evaluating reliability of complex systems in\ncompetitive design attempts is one of the applications of this method. The advantage of this method is that it is applicable in early\ndesign phase where there is only limited failure data available. As a case study, horizontal drilling equipment is used for assessment\nof the proposed method. Benchmarking of the results with a system with more available failure and maintenance data verifies the\neffectiveness and performance quality of presented method.
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