Evaluating Scheduling Policies in a Multi-Level Assembly System

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 orders in preference various scheduling policies comprised of dispatching and regeneration rules in a multi-level assembly production system. Traditional expected-value statistical and second-degree stochastic dominance preference ordering rules are used to identify the most efficient scheduling policies for risk-averse managers using various measures of performance. The results indicate that selection of an efficient regeneration rule is contingent upon the selection of a dispatching rule and these rules must be selected jointly to develop efficient scheduling policies. For this study, simple intuitively appealing scheduling policies were found to be efficient.

Additional Information

International Journal of Production Research, 24 (2), 247-257
Language: English
Date: 1986
scheduling policies, expected-value, second-degree, stochastic dominance preference, ordering rules, assembly production, regeneration rule, dispatching rule

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