Dynamic rules for due-date assignment

Dynamic rules for due-date assignment

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Article ID: iaor19911597
Country: United Kingdom
Volume: 29
Issue: 7
Start Page Number: 1361
End Page Number: 1377
Publication Date: Jul 1991
Journal: International Journal of Production Research
Authors: ,
Abstract:

This paper presents two new dynamic due-date assignment rules which utilize shop congestion information. The new rules estimate job flowtime based on a sampling of recently completed jobs. These rules are compared with other established flowtime estimate models on the criterion of due-date performance via computer simulation. To evaluate te robustness of the rules, an experimental design with three different queue sequencing heuristics and two different shop balance levels was used. The results of this investigation clearly indicate that flowtimes from recently completed jobs provide very useful information for establishing effective due-dates in a job shop environment. In addition it is shown how the use of particular sequencing rules greatly increases the precision of flowtime estimates.

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