2012
EMSS 2012 Proceeding
Process mining of production management data for improvement of production planning and manufaturing execution
Authors: Gasper Music, Primoz Rojec
Abstract
The paper deals with analysis of data captured within pro- duction information systems. Generally, a large amount of data is acquired and stored within these systems, but only a few data are used to support decisions on the production control level. This can be improved by using advanced data analysis techniques, that are capable of building models of other meaningful data representations. Process mining is a technique that results in a discrete state-transition model that can be interpreted as a Petri net. Such a model can be used to improve the understanding of manufacturing processes, improve the processes and asses their conformance to desired operation. The paper presents results of a case study, where a number of product specific routing data were recorded and analyzed in order to detect similarities that would allow for optimization of work order processing.
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