A Stochastic Dominance Ordering of Scheduling Rules.

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
James K. Weeks, Dean (Creator)
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/

Abstract: This paper applies stochastic dominance (SD) preference-ordering criteria to job shop scheduling rules. A simulation model of a hypothetical dual-constrained job shop is used to derive several measures of shop performance for a number of dispatching/due-date scheduling policies. The results presented suggest that previous research conclusions concerning the relative performance of dispatching scheduling rules may need to be reconsidered if production schedulers are risk-averse utility maximizers.

Additional Information

Decision Sciences (Journal of), 10 (2), 245-257
Language: English
Date: 1979
Scheduling rules, Resource sharing, Stochastic dominance (SD), Utility maximization

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