Improving scheduling accuracy by reducing data inconsistencies in production control
نویسنده
چکیده
The quality of production feedback data gathered on the shop-floor is regularly reduced by various data inconsistencies and errors which impair detailed scheduling accuracy. In this paper, an approach for reducing these inconsistencies in production feedback data by deriving errorspecific integrity rules is presented and validated through a simulation study.
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تاریخ انتشار 2014