Condition-Based Release of Maintenance Jobs in a Decentralized Multi-Stage Production/Maintenance System
Ralf Gössinger () and
Michael Kaluzny ()
Additional contact information
Ralf Gössinger: University of Dortmund
Michael Kaluzny: University of Dortmund
A chapter in Operations Research Proceedings 2012, 2014, pp 269-274 from Springer
Abstract:
Abstract Condition-based maintenance is analyzed for multi-stage production with a separate maintenance unit. Deterioration depends on multiple production para-meters, and maintenance has to keep up predefined operational availabilities per production stage. Two problems are of interest: Determining machine conditions that require a release of preventive maintenance jobs, and scheduling maintenance jobs of different production stages. Considering continuous condition monitoring, a specific priority rule for scheduling is developed, factors determining the release situation are operationalized and effects of choosing the triggering condition are identified. The performance of the priority rule and a stochastic approach to determine optimal triggering conditions are analyzed by simulations.
Keywords: Failure Probability; Preventive Maintenance; Production Stage; Priority Rule; Chance Constraint (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-319-00795-3_39
Ordering information: This item can be ordered from
http://www.springer.com/9783319007953
DOI: 10.1007/978-3-319-00795-3_39
Access Statistics for this chapter
More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().