بهينه سازي قابليت اعتماد سيستم با اهداف چند گانه و تخصيص اجزاي مازاد در شرايط عدم قطعيت از قابليت اعتماد آن ها

چكيده انگليسي :

100 Multi objective optimization of system reliability using redundancy allocation with uncertainty for reliability s components Mohammad Bazgir m bazgir@in iut ac ir Date of Submission 2012 09 19 Department of Industrial Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor A zeinal Hamedani hamadani@cc iut ac irAbstractReliability problems are an important type of optimization problems that are motivated by different needsof real world applications such as telecommunication systems transformation systems and electricalsystems so on This paper studies a special type of these problems which is called redundancy allocationproblem RAP and develops a bi objective RAP BORAP Reliability is an important feature in themechanical and electrical systems which is discussed in thcommunications industries internet networks telecommunication systems power generation systems manufacturing facilities and etc Finding the optimallevel of reliability based on system constraints is called a reliability optimization problem The variety ofsystem structures and resource constraints for improving the reliability has led to design and analyze severaloptimization models One of the methods to improve system reliability is using the redundant componentsin the system it has proven that Redundancy Allocation Problem RAP is a kind of NP hard problems andthe computation grows exponentially by increasing problem size and constraints Hence finding theappropriate solution is important for these problems In this thesis the redundancy allocation problem isstudied for improving the reliability of series parallel systems and minimizing the cost of the system basedon the multiple component choices and Non dominated sorting genetic algorithm has been applied for thepurpose of solving Sine in the estimation of reliability in each component has uncertainty and are not exact So forremoving tambiguity from the numbers there are many ways One of this way is that we use fuzzynumbers In this research triangu fuzzy number were used For solving the multi objective model we shouduse the exact model In this study the expected value method used for de fuzzy model algorithm has beenintroduced to construct the membership function an non Functions of intuitionistic fuzzy numbers arecalculated to construct the membership function and non membership function of fuzzy reliability via non linear programming techniques Using proposed algorithm membership functions and non membershipfunctions of fuzzy reliability of a series system and a parallel systems are constructed The present study investigates reliability optimization minimizing system s cost and system requirementsin terms of electrical and system and suggests pareto solutions based on Non dominated sorting geneticalgorithm In order to illustrate the application of the redundancy allocation problem and performance of theproposed Non dominated sorting genetic algorithm an electrical system was evaluated Considered systemis an electronic board which is used in medical equipments and now it is produced by the Isfahan Optics SaIran Company In this equipment in addition to volume and weight constraints it is necessary that usingNon linear constraint to solving problem because in reality constraints are not linear The present study hassuggested an appropriate algorithm and pareto solution for solving reliability optimization problems inseries parallel systems based on redundancy allocation Pareto solutions help the decision maker to selectthe best strategy for structure of the electronic bord Keywords Redundancy Allocation Reliability Multi objective optimization uncertainty IsfahanOptics Sa Iran Company

بازگير، محمد

بهينه سازي قابليت اعتماد سيستم با اهداف چند گانه و تخصيص اجزاي مازاد در شرايط عدم قطعيت از قابليت اعتماد آن ها

بهينه سازي چند هدفه , شركت اپتيك صا ايران