Data Mining for Production Scheduling

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Date
2003-01-01
Authors
Olafsson, Sigurdur
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Abstract

Data mining is a fast growing field and many industrial engineering applications generate large amounts of data to which data mining techniques can be applied. In this paper we develop a data mining framework for production scheduling. This involves preprocessing of historic schedules into an appropriate data file, discovery of key scheduling concepts, and representation of the data mining results in a way that enables its use for job scheduling.

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This proceeding is published as Olafsson, Sigurdur. "Data Mining for Production Scheduling." In Proceedings of the 2003 IIE Annual Conference. May 17-21, 2003, Portland, Oregon. Posted with permission.

Keywords
Data mining, scheduling, inductive learning, decision trees, dispatching rules
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