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Maintenance Policy for Multi-Component System with Fuzzy Lifetimes

Maintenance Policy for Multi-Component System with Fuzzy Lifetimes
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摘要 The application of possibility theory to maintenance policies is proposed in this paper. The lifetime of a component is modeled as a fuzzy variable. Two types of replacement policies-block replacement and age replacement with fuzzy lifetimes are investigated. The theorems show that the long-run average fuzzy reward per unit time in both policies is just the expected cost per unit of time. In order to solve the proposed models, a hybrid intelligent algorithm is employed. Finally, numerical examples are provided for the sake of illustration. The application of possibility theory to maintenance policies is proposed in this paper. The lifetime of a component is modeled as a fuzzy variable. Two types of replacement policies-block replacement and age replacement with fuzzy lifetimes are investigated. The theorems show that the long-run average fuzzy reward per unit time in both policies is just the expected cost per unit of time. In order to solve the proposed models, a hybrid intelligent algorithm is employed. Finally, numerical examples are provided for the sake of illustration.
出处 《Tsinghua Science and Technology》 SCIE EI CAS 2003年第1期49-54,共6页 清华大学学报(自然科学版(英文版)
基金 Supported by the National Natural Science Foundationof China( No. 6 980 40 0 6 ) and the Sino- French JointL aboratory for Research in Com puter Science,Controland Applied Mathem atics ( L IAMA)
关键词 maintenance policy REPLACEMENT genetic algorithm fuzzy simulation maintenance policy replacement genetic algorithm fuzzy simulation
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