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Strategy Evaluation for Stochastic Scheduling Problems with Order Constraints

K. D. Glazebrook
Advances in Applied Probability
Vol. 23, No. 1 (Mar., 1991), pp. 86-104
DOI: 10.2307/1427513
Stable URL: http://www.jstor.org/stable/1427513
Page Count: 19
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Strategy Evaluation for Stochastic Scheduling Problems with Order Constraints
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Abstract

A single machine is available to process a collection J of jobs. The machine is free to switch between jobs at any time, but processing must respect a set Γ of precedence constraints. Jobs evolve stochastically and earn rewards as they are processed, not otherwise. The theoretical framework of forwards induction/Gittins indexation is used to develop approaches to strategy evaluation for quite general (J,Γ). The performance of both forwards induction strategies and a class of quasi-myopic heuristics is assessed.

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