Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations

Stein Dani, Vinicius; Leopold, Henrik; van der Werf, Jan Martijn E. M.; Reijers, Hajo A.

doi:10.1007/978-3-031-46587-1_9

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2024

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Cited by 2 publications

References 32 publications

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From Loss of Interest to Denial: A Study on the Terminators of Process Mining Initiatives

Stein Dani,

Leopold,

van der Werf

et al. 2024

Lecture Notes in Computer Science

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From Loss of Interest to Denial: A Study on the Terminators of Process Mining Initiatives

Stein Dani,

Leopold,

van der Werf

et al. 2024

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Workplace performance measurement: digitalization of work observation and analysis

Nesterak,

Szelągowski,

Radziszewski

2024

J Intell Manuf

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Process improvement initiatives require access to frequently updated and good quality data. This is an extremely difficult task in the area of production processes, where the lack of a process digital footprint is a very big challenge. To solve this problem, the authors of this article designed, implemented, and verified the results of a new work measurement method. The Workplace Performance Measurement (WPM) method is focused not only on the measurement of task duration and frequency, but also on searching for potential anomalies and their reasons. The WPM method collects a wide range of workspace parameters, including workers' activities, workers' physiological parameters, and tool usage. An application of Process Mining and Machine Learning solutions has allowed us to not only significantly increase the quality of analysis (compared to analog work sampling methods), but also to implement an automated controlling solution. The genuine value of the WPM is attested to by the achieved results, like increased efficiency of production processes, better visibility of process flow, or delivery of input data to MES solutions. MES systems require good quality, frequently updated information, and this is the role played by the WPM, which can provide this type of data for Master Data as well as for Production Orders. The presented authorial WPM method reduces the gap in available scholarship and practical solutions, enabling the collection of reliable data on the actual flow of business processes without their disruption, relevant for i.a. advanced systems using AI.

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Progressing from Process Mining Insights to Process Improvement: Challenges and Recommendations

Cited by 2 publications

References 32 publications

From Loss of Interest to Denial: A Study on the Terminators of Process Mining Initiatives

From Loss of Interest to Denial: A Study on the Terminators of Process Mining Initiatives

Workplace performance measurement: digitalization of work observation and analysis

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