Quality Management Process Continuous Improvement Based on Workflow Mining

Liang Chen; Qiang Liu; Xiao Hua Li

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

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The Detection Method for Surface Quality of Parts Based on PCA and Wavelet Transform
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Development of Analysis System for the Process of Piston's Production
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Quality Management Process Continuous Improvement Based on Workflow Mining
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Design and Development of Quality Information System for Electronic Ballast Based on Parameter Testing
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Architecture of RFID Spatio-Temporal Data Management
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 314-316Quality Management Process Continuous Improvement...

Quality Management Process Continuous Improvement Based on Workflow Mining

Abstract:

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.