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Process modeling

About: Process modeling is a research topic. Over the lifetime, 11639 publications have been published within this topic receiving 223996 citations. The topic is also known as: process simulation.


Papers
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Journal ArticleDOI
TL;DR: The study shows that designed training data sets are more desirable than random experimental sets, due to their higher orthogonality, even when only a small set of data is available for training.

86 citations

Journal Article
TL;DR: Cheetah Ex- perimental Platform provides components that are frequently used in controlled experiments and allows their assem- bly to experimental workows, and provides richer evaluation techniques compared to paper based experiments fostering the experiment's data analysis.
Abstract: When assessing the usability of BPM technologies enter- prises have to rely on vendor promises or qualitative data rather than on empirical or experimental research. To address this need Cheetah Ex- perimental Platform (CEP) has been developed fostering experimental research on business process modeling. CEP provides components that are frequently used in controlled experiments and allows their assem- bly to experimental workows. CEP supports experimental execution by mitigating risks endangering data validity through better user guid- ance. Additionally, CEP provides richer evaluation techniques compared to paper based experiments fostering the experiment's data analysis.

86 citations

Book ChapterDOI
07 Jun 2004
TL;DR: The paper discusses and characterizes causes for process invalidity and suggests ways to avoid these situations, and proposes a generic theory-based process modeling (GPM) framework and criteria for validity evaluation of process models.
Abstract: Business process modeling and design, which has attracted much attention in recent years, emphasizes mainly graphical representation, usually without an underlying theory. The lack of a theoretical foundation causes several important issues to remain intuition- rather than theory -based. In particular, many process-modeling methods, being semi-formal, lack a mechanism for verifying the ”correctness” of a process in terms of completeness, consistency, and feasibility. The paper proposes a generic theory-based process modeling (GPM) framework and criteria for validity evaluation of process models. The framework, which is based on Bunge’s ontology, is formal and notation- independent. Validity is defined as the possibility of the process to achieve its goal. The paper discusses and characterizes causes for process invalidity and suggests ways to avoid these situations. The concepts of the framework and their usefulness for evaluating the validity of process models are demonstrated by applying them to a process taken from the Supply-Chain Operations Reference-model (SCOR).

86 citations

Journal ArticleDOI
TL;DR: The paper shows that the value‐oriented process modeling approach facilitates and improves managerial decision making in the context of process re‐design.
Abstract: Purpose – Financial information about costs and return on investments are of key importance to strategic decision-making but also in the context of process improvement or business engineering. In this paper we propose a value-oriented approach to business process modeling based on key concepts and metrics from operations and financial management, to aid decision making in process re-design projects on the basis of process models. Design/methodology/approach – We suggest a theoretically founded extension to current process modeling approaches, and delineate a framework as well as methodical support to incorporate financial information into process re-design. We use two case studies to evaluate the suggested approach. Findings – Based on two case studies, we show that the value-oriented process modeling approach facilitates and improves managerial decision-making in the context of process re-design. Research limitations / implications – We present design work and two case studies. More research is needed to more thoroughly evaluate the presented approach in a variety of real-life process modeling settings. Practical implications – We show how our approach enables decision makers to make investment decisions in process re-design projects, and also how other decisions, for instance in the context of enterprise architecture design, can be facilitated. Originality/value – This study reports on an attempt to integrate financial considerations into the act of process modeling, in order to provide more comprehensive decision making support in process re-design projects.

86 citations

Journal ArticleDOI
TL;DR: BPMN Miner is able to detect and filter out noise in the event log arising for example from data entry errors, missing event records or infrequent behavior and are more accurate and less complex than those derived with flat process discovery techniques.

86 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202359
2022184
2021254
2020327
2019368
2018395