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ON SCHEDULING INFLUENTIAL STOCHASTIC TASKS ON A SINGLE-MACHINE
被引:6
|作者:
GLAZEBROOK, KD
GREATRIX, S
机构:
[1] Department of Mathematics and Statistics, University of Newcastle upon Tyne
关键词:
GITTING INDEX;
OPTIMAL POLICY;
MARKOV DECISION PROCESS;
STOCHASTIC SCHEDULING;
D O I:
10.1016/0377-2217(93)90251-H
中图分类号:
C93 [管理学];
学科分类号:
12 ;
1201 ;
1202 ;
120202 ;
摘要:
A single machine is available to process a collection of stochastic tasks in a manner consistent with precedence constraint GAMMA. The degree of success encountered in the processing of a task influences the returns from tasks processed later. Two different modes of influence (called sequence and predecessor) are considered, but influence is always expressed via a multiplicative contribution to the appropriate returns. Developments of Gittins index theory yield optimal policies in the class of preemptive/nonpreemptive/permutation policies for a variety of assumptions about GAMMA.
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页码:405 / 424
页数:20
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