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The Stochastic Optimality of Sept in Parallel Machine Scheduling
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The Stochastic Optimality of Sept in Parallel Machine Scheduling

Probability in the Engineering and Informational Sciences, Vol.8(2), pp.179-188
1994

Abstract

Statistics and Probability Statistics Probability and Uncertainty Management Science and Operations Research Industrial and Manufacturing Engineering
We consider preemptive scheduling on parallel machines where processing times of jobs are i.i.d. but jobs may already have received distinct amounts of service. We show that when processing times are increasing in likelihood ratio, SEPT (shortest expected [remaining] processing time first) stochastically minimizes any increasing and Schur-concave function of the job completion times. The same result holds when processing times are exponential with possibly different means. © 1994, Cambridge University Press. All rights reserved.

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