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188宝金博页面版: 不确定环境下的更换策略模型

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内容提示: ABSTRACTAs the speed up of economy, how to improve the system reliability and sta ?bility become an urgent need to study and solve. The maintenance costs of system often be much higher than the budget many times, due to poor reli ?ability issues. In particular the sudden failure of the system, results in huge losses, and in some cases lead to disastrous consequences. To replacement the p ossible failure parts can significantly reduce ...

文档格式:PDF | 页数:106 | 浏览次数:17 | 上传日期:2023-08-19 04:31:01 | 文档星级:
ABSTRACTAs the speed up of economy, how to improve the system reliability and sta ­bility become an urgent need to study and solve. The maintenance costs of system often be much higher than the budget many times, due to poor reli ­ability issues. In particular the sudden failure of the system, results in huge losses, and in some cases lead to disastrous consequences. To replacement the p ossible failure parts can significantly reduce system op erating costs and improve system reliability.In this dissertation, both age replacement policy and block replacement policy in uncertainty evironment were discussed. The age-dependeiit replace ­ment policy is one of the most commonly used strategy^ for system mainte ­nance. A fuzzy age replacement model is eatablished, and a optimal renewal cycle exist theorem is also provided.In a practical system the fuzziness and randomness are often mixed up with each other. Thus, both of the two uncertainties should be considered simultaneously. The fuzzy random age-dependent replacement policy and random fuzzy age-dependent replacement policy are also studied here, and the concept of long-run expected cost per unit time is also extended. In order to facilitate the application, at the same time gives a more direct method to detennine the existence of the optimal solution.The block replacement plocy is also a commonly used maintenace pol ­icy. This paper extends the randoni block replacement policy to the fuzzy, fuzzy random and random fuzzy case and establishes the uncertainty block replacement models.In order to get the best solution of the proposed model and get the optimal solution, a new fuzzy simulation algorithm to calculate the expected value of fuzzy variables is presented , and based on the siinulatioii technique, SPSA algorithm, PSO algorithm and a new hybride algorithm is employed.ii

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