Quality Management Process Continuous Improvement Based on Workflow Mining

Abstract:

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This paper presents an approach to diagnose and improve the quality management process based on workflow mining technology. In order to inspect each improvement stage in the PDCA lifecycle, an adaptive process mining method is proposed to reconstruct the workflow models from logs. In this method, a sliding window is defined on the process audit streams, and the sliding window size and process schedule method are continuously adjusted by the updating rules to adaptively find various stages of the process changes implied in the workflow log. Case study and comparisons are used to illustrate the accuracy and high performance of this algorithm in the end.

Info:

Periodical:

Advanced Materials Research (Volumes 314-316)

Edited by:

Jian Gao

Pages:

2402-2407

DOI:

10.4028/www.scientific.net/AMR.314-316.2402

Citation:

L. Chen et al., "Quality Management Process Continuous Improvement Based on Workflow Mining", Advanced Materials Research, Vols. 314-316, pp. 2402-2407, 2011

Online since:

August 2011

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Price:

$35.00

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