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ITEA is the Eureka Cluster on software innovation
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Optimised Planned Maintenance Tool for Age-based Maintenance Under Population Heterogeneity

Project
17030 DayTiMe
Description

First study that balances exploration and exploitation optimally for a system with fixed lifespan under population heterogeneity.

Contact
Eindhoven University of Technology
Email
i.dursun@tue.nl
Technical features

Input(s):

-R code

Main feature(s):

  • Scheduling the next planned maintenance activity under given data regarding the remaining lifespan of the system and time-to-failure model parameters

Output(s):

  • .Rdata file
  • Plots of optimal cost and policy
Integration constraints
  • .Integration with data base with R
  • R shiny integration for user interface
Targeted customer(s)

Academic researches, Capital goods industry under time-to-failure model uncertainty.

Conditions for reuse

MIT License

Confidentiality
Public
Publication date
25-03-2022
Involved partners
Eindhoven University of Technology (NLD)