Title :
Reliability allocation multi-objective optimization for products under warranty
Author :
Liu, Zhi-Jie ; Song, Qing-Fei
Author_Institution :
Transp. Equipments & Ocean Eng. Coll., Dalian Maritime Univ., Dalian, China
Abstract :
Generally, the goal of reliability allocation is to maximize product reliability under various physical or budgetary constraints, and to minimize cost subject to reliability or physical constraints. For products sold with warranty, the product reliability affects not only the manufacturing cost but also the warranty servicing cost. Thus the reliability allocation decision can be regarded as a multi-objective optimization problem and must consider these costs for products under warranty. This paper develops a general multi-objective model considering above factors. To obtain the optimal reliability allocation for engineering systems, the multi-objective evolutionary algorithm NSGA-II is adopted to obtain a Pareto optimal solution set. Then the final representative solutions for the reliability allocation problem can be chosen from the Pareto solution set. Finally, a numerical example is given to illustrate the proposed method.
Keywords :
Pareto optimisation; cost reduction; evolutionary computation; product development; reliability; warranties; NSGA-II; Pareto optimal solution set; budgetary constraint; cost minimization; engineering system; manufacturing cost; multiobjective evolutionary algorithm; multiobjective optimization problem; optimal reliability allocation; physical constraint; product reliability maximization; reliability allocation decision; reliability allocation multiobjective optimization; under warranty products; warranty servicing cost; Evolutionary computation; Manufacturing; Optimization; Reliability engineering; Resource management; Warranties; NSGA-II; multi-objective optimization; reliability allocation; warranty;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
DOI :
10.1109/ICQR2MSE.2012.6246267