An expert knowledge-based dynamic maintenance task assignment model using discrete stress–strength interference theory
作者：
Highlights：
• An expert knowledge-based dynamic maintenance task assignment model is proposed.
• Discrete stress–strength interference theory is used to quantify expert knowledge.
• Universal generating function method is used to calculate the value of experience.
• Expert's performance is periodically reviewed based on the quantified experience.
• The decision is dynamic and can be updated with the updated observations.
摘要
•An expert knowledge-based dynamic maintenance task assignment model is proposed.•Discrete stress–strength interference theory is used to quantify expert knowledge.•Universal generating function method is used to calculate the value of experience.•Expert's performance is periodically reviewed based on the quantified experience.•The decision is dynamic and can be updated with the updated observations.
论文关键词：Expert knowledge,Dynamic maintenance task assignment,Discrete stress–strength interference (DSSI) theory,Experience,Universal generating function (UGF) method
论文评审过程：Received 28 April 2016, Revised 17 March 2017, Accepted 5 June 2017, Available online 7 June 2017, Version of Record 20 June 2017.
论文官网地址：https://doi.org/10.1016/j.knosys.2017.06.008
