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Accession Number ADA582480
Title Determining Optimal Machine Replacement Events with Periodic Inspection Intervals.
Publication Date Mar 2013
Media Count 97p
Personal Author T. C. Shiveley
Abstract This research will examine the optimal maintenance and replacement policies for a generic machine with periodic inspection intervals. The considered reliability models consist of a single machine that can fail during operation or else may be found to be inoperative during regularly-scheduled maintenance inspections. A distinction will be made between spontaneously- occurring failures during operation and those that are discovered during inspections. Since the elapsed time between inspections is constant, the resulting stochastic reliability process becomes non-Markovian, and thus a Semi- Markov Decision Process (SMDP) framework must be employed in order to determine the cost-optimal stationary policy consisting of repair and replace decisions and inspection intervals. Using the methodology developed here, a system controller will be able to readily develop an inspection-based strategy to optimize the overall costs of maintaining systems with a variety of failure characteristics over a finite time horizon.
Keywords Dynamic programming
Inspection processes
Lifetime estimations
Markov decision processes
Markov processes
Optimal maintenance
Policy iterations

Source Agency Non Paid ADAS
NTIS Subject Category 72E - Operations Research
41G - Quality Control & Reliability
74E - Logistics, Military Facilities, & Supplies
Corporate Author Air Force Inst. of Tech., Wright-Patterson AFB, OH. Graduate School of Engineering and Management.
Document Type Thesis
Title Note Master's thesis.
NTIS Issue Number 1326
Contract Number N/A

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