Value of information in sequential decision making: Component inspection, permanent monitoring and system-level scheduling
Value of information in sequential decision making: Component inspection, permanent monitoring and system-level scheduling
复制标题
信息在顺序决策中的价值：组件检查、永久监控和系统级调度
DOI：
10.1016/j.ress.2016.05.014
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
M. Pozzi
中科院分区：
文献类型：
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作者：
Milad Memarzadeh;M. Pozzi
我们说明了如何评估信息的价值（VOI）的顺序决策问题建模的部分可观察马尔可夫决策过程（POMDPs）。POMDPs提供了一个通用的框架，用于建模的基础设施组件的管理，包括操作和维护，当只有部分或嘈杂的意见; VoI是一个关键的概念，选择探索性的行动，与组件的检查和监控的应用程序。此外，组件级VoI可以作为一个有效的启发式分配优先级系统级的检查调度。我们介绍了两种替代模型的信息的可用性，并得出在这些设置中的每一个的VoI：随机分配（SA）模型假设，观察收集与给定的概率，而基于费用的分配模型（FA）假设，他们是在给定的成本。在组件级提出这些模型后，我们研究它们如何执行系统级检查调度。
We illustrate how to assess the Value of Information (VoI) in sequential decision making problems modeled by Partially Observable Markov Decision Processes (POMDPs). POMDPs provide a general framework for modeling the management of infrastructure components, including operation and maintenance, when only partial or noisy observations are available; VoI is a key concept for selecting explorative actions, with application to component inspection and monitoring. Furthermore, component-level VoI can serve as an effective heuristic for assigning priorities to system-level inspection scheduling. We introduce two alternative models for the availability of information, and derive the VoI in each of those settings: the Stochastic Allocation (SA) model assumes that observations are collected with a given probability, while the Fee-based Allocation model (FA) assumes that they are available at a given cost. After presenting these models at component-level, we investigate how they perform for system-level inspection scheduling.