首页> 外文会议>Reliability and Maintainability Symposium, 1995. Proceedings., Annual >Mass-transit system service quality: tradeoff analysis on reliability, maintainability and logistics
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Mass-transit system service quality: tradeoff analysis on reliability, maintainability and logistics

机译:公交系统服务质量:可靠性,可维护性和物流的权衡分析

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Service quality is influenced not only by intrinsic reliability and maintainability but also by logistical factors such as: the number of operations reserves of spare trains; the number of repair facilities; fleet size; average recovery times after perturbations; and spare parts. Operators are looking for service quality commitments from manufacturers. However, only intrinsic reliability and maintainability, and to some extent, service reliability, are determined by the manufacturer's design. This paper addresses quantitatively the dependence of service quality on intrinsic reliability and maintainability, and logistic variables. Analytical models, based on Markov chains, are used to derive the corresponding relationships. Sensitivity analyses can then be performed. Tradeoffs can be assessed quantitatively between several solutions for achieving a given service quality target at different costs. On the basis of such a tradeoff analysis. The effort toward a higher service quality can be guided in a life-cycle cost perspective. Also, reliability and maintainability apportionments can be performed which are derived from the service quality objective. Logistic parameters are seen to play a key part. Accordingly, the manufacturer which does not control maintenance may find it inappropriate to commit to a service quality level, but may commit, instead, to reliability and maintainability levels that, under precise assumptions on the logistics, result in the desired service quality.
机译:服务质量不仅受内在的可靠性和可维护性的影响,还受后勤因素的影响,例如:备用火车的运营储备数量;维修设施的数量;机队规模;扰动后的平均恢复时间;和备件。运营商正在寻求制造商的服务质量承诺。但是,仅固有的可靠性和可维护性,以及某种程度上的服务可靠性,是由制造商的设计确定的。本文从数量上解决了服务质量对内在可靠性和可维护性以及逻辑变量的依赖。使用基于马尔可夫链的分析模型来推导相应的关系。然后可以进行灵敏度分析。可以在几种解决方案之间定量评估折衷,以不同的成本实现给定的服务质量目标。在这种折衷分析的基础上。可以从生命周期成本的角度指导提高服务质量的工作。而且,可以执行从服务质量目标得出的可靠性和可维护性分配。逻辑参数被认为是关键部分。因此,不控制维护的制造商可能会发现不宜达到服务质量级别,而是可能会承诺可靠性和可维护性级别,而这些可靠性和可维护性级别在对物流的精确假设下会导致所需的服务质量。

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