Optimal Operating Policy for the Machine Repair Problem.
Abstract
This paper treats the following decision problem: to assign (at the time of each failure) the failed machine to a repair facility so as to minimize the long run average cost when K greater than or equal to 2. Using the theory of Markov processes the paper discusses this decision problem under various hypotheses: (1) When failure and repair times have Erlang distribution; (2) when the M = m+n machines are divided into G classes with a failed machine being replaced only by one of like class, each repair facility operates under a pre-emptive repeat priority queue discipline with class j having priority over class l greater than j, and failure and repair times have exponential distribution; (3) when each machine is subject to delta different types of failure, the time to a failure of type i has exponential distribution, and repair times have Erlang distribution. (Modified author abstract)
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 05, 1974
- Accession Number
- AD0785844
Entities
People
- Lola Pearl Coleman Goheen
Organizations
- Stanford University