Datenbasierte Beschreibung der Prozessperformance in der Auftragsabwicklung
- Data-based description of process performance in order processing
Schmitz, Seth; Schuh, Günther (Thesis advisor); van der Aalst, Wil M. P. (Thesis advisor)
1. Auflage. - Aachen : Apprimus Verlag (2022)
Book, Dissertation / PhD Thesis
In: Ergebnisse aus der Produktionstechnik 23/2022
Page(s)/Article-Nr.: XXIII, 257 Seiten : Illustrationen, Diagramme
Dissertation, RWTH Aachen University, 2022
Abstract
The improvement of order processing is essential for manufacturing companies. The goal of the dissertation is the objective and effort-less description of the process performance of the entire order processing. For this purpose, required data are first derived and structured. Subsequently, the data-based description of the process performance by using object-centered process mining is demonstrated and a module for the usage-neutral visualization of the results is presented.
Institutions
- Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University [417200]
- Chair of Production Engineering [417210]
Identifier
- ISBN: 978-3-98555-079-1
- RWTH PUBLICATIONS: RWTH-2022-05158