@inproceedings{465e879df75e44f8bbc8a3ba27c4d943,
title = "Condition-based preventive maintenance optimization approach for multiple industrial robotics with stochastic Mission",
abstract = "This paper discusses the selective maintenance of industrial robots. Propose a working mode to keep missions uninterrupted and maintain high reliability within a limited time resource. During the execution of multiple missions, each mission selects a reasonable amount of robots to work, and the rest robots are for maintenance with a level or standby. The choice of robot needs to consider time, cost, reliability, and mission requirements. The fundamental constructs and the relevant parameters of this decision-making problem are developed and discussed. A mathematical optimization model is then proposed where the objective is to maximize the reliability of executing the next mission, taking into account both budget and time maintenance constraints. A numerical example is provided to demonstrate this method is reasonable.",
keywords = "Industrial robot, Maintenance, Stochastic mission",
author = "Dezhen Yang and Haochen Wang and Yi Ren and Qiang Feng and Bo Sun and Zili Wang and Dongming Fan and Xing Su",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Annual Reliability and Maintainability Symposium, RAMS 2019 ; Conference date: 28-01-2019 Through 31-01-2019",
year = "2019",
month = jan,
doi = "10.1109/RAMS.2019.8769025",
language = "英语",
series = "Proceedings - Annual Reliability and Maintainability Symposium",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "RAMS 2019 - 2019 Annual Reliability and Maintainability Symposium, Proceedings",
address = "美国",
}