Titelaufnahme

Titel
Subject-oriented process survey - an approach and modeling tool for executing subject-oriented process surveys / von Christoph Fleischmann
VerfasserFleischmann, Christoph
Begutachter / BegutachterinStary, Christian ; Kuhlang, Peter
Erschienen2013
UmfangI, 98, [21] teilw. gef. Bl. : zahlr. Ill., graph. Darst.
HochschulschriftWien, Techn. Univ., Dipl.-Arb., 2014
SpracheEnglisch
DokumenttypDiplomarbeit
Schlagwörter (DE)Prozessmanagement / Modeling Tools
Schlagwörter (EN)Prozessmanagement / Modeling Tools
URNurn:nbn:at:at-ubtuw:1-75882 Persistent Identifier (URN)
Zugriffsbeschränkung
 Das Werk ist frei verfügbar
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Subject-oriented process survey - an approach and modeling tool for executing subject-oriented process surveys [8.35 mb]
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Zusammenfassung (Englisch)

Process models are a requirement for process analysis and further process management. Through the course of surveys process knowledge is collected and documented as process models. The procedure of performing surveys itself is a process and its results directly influence the following analysis. This requires the surveying process to be as efficient as possible which can only be achieved by analyzing the survey procedure to identify weak spots and optimization potential. In addition common procedures tend to exclude the process end users from the modeling procedure despite the fact that they can provide the most knowledge and information about their particular processes. By describing subject-oriented approaches for process surveys as process models a basis for future analyses to improve process surveys is created. Additionally with the application of subject-oriented Business Process Management the focus on process activities, as in classic Business Process Management, is shifted towards the elements which execute the processes: the end user. A newly developed tangible modeling tool will allow the survey participants to directly model their respective parts of the process by themselves. This tool is named S-BPM Buildbook and can be operated intuitively even by modeling novices. The created process models can be documented and digitalized via an optical recognition algorithm which converts the process model into a generic XML file for further process management and administration steps. The approaches described by the process models are tested during the course of an exemplary case study. A second case study tests the developed modeling tool during a practical application with modeling novices.