作者: Sang-Hyun Lee , Sang-Joon Lee , Kyung-Il Moon
DOI: 10.1007/978-3-642-19953-0_28
关键词: Reliability (statistics) 、 Fuzzy control system 、 PID controller 、 Quality (business) 、 Set (abstract data type) 、 Control (management) 、 Operations research 、 Fuzzy logic 、 Warranty 、 Computer science 、 Data mining
摘要: Many companies analyze field data to enhance the quality and reliability of their products service. In many cases, it would be too costly difficult control actions. The purpose this paper is propose a model that captures fuzzy events, determine optimal warning/detection warranty claims data. considers proportional-integral-derivative (PID) actions in time series. This transforms traditional set models problem. optimality explored using classical theory; also, numerical example presented describe how find an policy. proves feedback for claim can used reasonable degree system. useful deciding what maintenance strategy period should large database.