Quality-Aware Resource Model Discovery
Applied Sciences, vol. 11, pp. 5730
Abstract
Context-aware process mining aims at extending a contemporary approach with process contexts for realistic process modeling. Regarding this discipline, there have been several attempts to combine process discovery and predictive process modeling and context information, e.g., time and cost. The focus of this paper is to develop a new method for deriving a quality-aware resource model. It first generates a resource-oriented transition system and identifies the quality-based superior and inferior cases. The quality-aware resource model is constructed by integrating these two results, and we also propose a model simplification method based on statistical analyses for better resource model visualization. This paper includes tooling support for our method, and one of the case studies on a semiconductor manufacturing process is presented to validate the usefulness of the proposed approach. We expect our work is practically applicable to a range of fields, including manufacturing and healthcare systems.
Authors 5
-
Affiliation as printed
School of Information Convergence, Kwangwoon University, Seoul 01897, Korea
-
Pohang University of Science and Technology · RWTH Aachen University
Affiliation as printed
Department of Computer Science, RWTH Aachen University, 52074 Aachen, Germany
Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
-
Minseok Song corresponding
Pohang University of Science and Technology
Affiliation as printed
Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
-
Samsung Electronics (South Korea)
Affiliation as printed
Mechatronics Research and Development Center, Samsung Electronics Company Ltd., Hwaseong 18448, Korea
-
Samsung Electronics (South Korea)
Affiliation as printed
Mechatronics Research and Development Center, Samsung Electronics Company Ltd., Hwaseong 18448, Korea
Cited by 3 stored of 3
3 results
No patents citing this paper on Lens.org (checked 2026-10-06).