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Stochastic scheduling on a repairable machine with Erlang uptime distribution

Part of: Special processes Operations research and management science Survival analysis and censored data

Published online by Cambridge University Press:  01 July 2016

Wei Li ,
W. John Braun  and
Yiqiang Q. Zhao
Wei Li*
Affiliation:
University of Winnipeg and Chinese Academy of Sciences
W. John Braun*
Affiliation:
University of Winnipeg
Yiqiang Q. Zhao*
Affiliation:
University of Winnipeg
*
∗ Postal address: Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing, 100080, China.
∗ Postal address: Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing, 100080, China.
∗ Postal address: Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing, 100080, China.
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Abstract

A set of jobs is to be processed on a machine which is subject to breakdown and repair. When the processing of a job is interrupted by a machine breakdown, the processing later resumes at the point at which the breakdown occurred. We assume that the machine uptime is Erlang distributed and that processing and repair times follow general distributions. Simple permutation policies on both machine parameters and the processing distributions are given which minimize the weighted number of tardy jobs, weighted flow times and the weighted sum of the job delays.

Keywords

Stochastic schedulingbreakdownsErlang uptimesnon-preemptive resume model

MSC classification

Primary: 90B35: Scheduling theory, deterministic
Secondary: 60K20: Applications of Markov renewal processes (reliability, queueing networks, etc.) 62N05: Reliability and life testing
Type
General Applied Probability
Information
Advances in Applied Probability , Volume 30 , Issue 4 , December 1998 , pp. 1073 - 1088
Copyright
Copyright © Applied Probability Trust 1998 

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