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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
Peter Küng1, Claus Hagen1
TL;DR: How process reengineering, combined with the use of modern process‐oriented information technology, can lead to substantial improvements in terms of overall process quality is described.
Abstract: Purpose – This paper aims to describe how process reengineering, combined with the use of modern process‐oriented information technology, can lead to substantial improvements in terms of overall process quality.Design/methodology/approach – A real‐life case study from the financial industry is used to show how process management can take place in a competitive business area. Four processes (each with a different characteristic) are used to explain the approaches implemented.Findings – Through the combination of process restructuring and the application of modern IT, processes can be improved significantly. First of all, cycle times of the restructured business processes have been reduced. Second, reliability of processes has been improved. Third, process‐related performance has become more visible, which in turn is a good basis for further enhanced performance.Originality/value – This experience report illustrates that the concept of process reengineering is applicable, and that the potential of many proc...

92 citations

Journal ArticleDOI
TL;DR: The commonly used models for implantation, diffusion, and material growth are described and the supporting numerical techniques are described.

92 citations

Journal ArticleDOI
TL;DR: This paper explores the emerging paradigm of business-driven development, which presupposes a methodology for developing IT solutions that directly satisfy business requirements and needs and describes selected solutions that have been developed by the research team of the IBM Zurich Research Laboratory.

92 citations

01 Jan 2010
TL;DR: Cheetah Ex-Perimental Platform (CEP) as mentioned in this paper is a platform for experimental research on business process modeling, which provides components that are frequently used in controlled experiments and allows their assem- bly to experimental workows.
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.

91 citations

01 Jan 2010
TL;DR: A measurement system that makes use of complexity metrics to embody various patterns of the interplay of a process’ entities that embody the foundations of network theory and the management of structural complexity to generate a practice-oriented application.
Abstract: To achieve a systematic and holistic analysis and improvement of an engineering design process, the thesis on “A Structural Measurement System for Engineering Design Processes” proposes a measurement system that makes use of complexity metrics to embody various patterns of the interplay of a process’ entities (e.g. tasks, documents, organizational units, etc.). These metrics are used to draw inferences about the process’ behavior (e.g. timeliness, need for communication, risks, etc.). The 52 metrics are supported by a meta-model for process modeling and a framework to select the metrics in accordance with the goals of the process analysis. The metrics embody the foundations of network theory and the management of structural complexity to generate a practice-oriented application.

91 citations


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