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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 IssueDOI
TL;DR: In this article, an extension of the integrated definition for function (IDEF) model is proposed to describe sources of programmatic risk in business processes, which is demonstrated in an application to planning and programming for highway construction.
Abstract: A variety of methodologies commonly known as business process models are widespread in systems engineering and diverse technology systems. Business process modeling encourages uniform documentation of who generates what information, products, services; for whom; how; and why; and with what authorization. However, no known business process models have the capability to describe sources of risk: that is, what can go wrong in the business process. The goal of this paper is to demonstrate the integration of risk identification into a single existing methodology of business process modeling. The paper thus develops an extension of the integrated definition for function (IDEF) modeling that supports describing sources of programmatic risk in business processes. This is demonstrated in an application to planning and programming d1.5 billion per year of highway construction. Identifying the sources of risk is supported by existing methodologies such as hierarchical holographic modeling (HHM) and failure modes, effects, and criticality analysis (FMECA). The results of this paper will emphasize the importance of explicitly introducing the sources of risk in IDEF and other types of business process modeling. © 2006 Wiley Periodicals, Inc. Syst Eng 9: 187–198, 2006

55 citations

Journal ArticleDOI
TL;DR: The proposed ontology draws its knowledge from good practice guidance for ITSM, enabling the current business gap that exists in many IT service providers to be overcome, and provides support for executable service models with computational semantics.
Abstract: Best practice frameworks focused on the integration of business and IT, such as ITIL, help organizations create and share effective service management. However, guidelines and models are commonly specified using natural language or graphical representations, both lacking the computational semantics needed to enable their automated validation, simulation or execution. This paper presents an ontology approach, which can help service providers add semantics to their service management process models and detect semantic ambiguities, uncertainties and contradictions. The proposed ontology draws its knowledge from good practice guidance for ITSM, enabling the current business gap that exists in many IT service providers to be overcome. To do so, service management processes are formalized in terms of an ontology defined using OWL combined with SWRL and SQWRL, the latter two being used to specify constraints and infer new knowledge. Our ontology provides support for executable service models with computational semantics. SWRL rules associated with the ontology can be categorized into three groups: (1) Model consistency; (2) SLA breaches; and (3) Proactive actions. Such rules allow us to better manage actual service management processes which are delivered in line with business needs. Also, the resulting specifications can be shared, reused and interchanged by automated means using e-business frameworks such as ebXML.

55 citations

Book ChapterDOI
03 Sep 2012
TL;DR: A formal conceptual framework for representing and analyzing business process architectures is presented and it identifies patterns of relations between process models, and it introduces anti-patterns that represent erroneous relations between them.
Abstract: Becoming more and more process oriented, companies develop collections of hundreds or even thousands of business process models that represent the complex system of cooperating entities that form an organization. Designing and analyzing the structure of this system of business process models emerges as a new challenge, which is covered by the field of business process architecture. This paper presents a formal conceptual framework for representing and analyzing business process architectures. It identifies patterns of relations between process models, and it introduces anti-patterns that represent erroneous relations between them. The conceptual framework and the patterns are evaluated using a real-world process model collection. The evaluation shows that explicitly representing and analyzing relations between process models can help improving the correctness and consistency of the business process architecture as a whole.

55 citations

Journal ArticleDOI
TL;DR: An adaptive learning architecture for modeling manufacturing processes involving several control variables is described and it is shown that, by employing the generalization ability of neural networks in the synthesis algorithm, new recipes can be produced for the LPCVD process.
Abstract: An adaptive learning architecture for modeling manufacturing processes involving several control variables is described. The use of this architecture to process modeling and recipe synthesis for deposition rate, stress, and film thickness in low-pressure chemical vapor deposition (LPCVD) of undoped polysilicon is discussed. In this architecture the model for a process is generated by combining the qualitative knowledge of human experts, captured in the form of influence diagrams, and the learning abilities of neural networks for extracting the quantitative knowledge that relates the parameters of a process. To evaluate the merits of this methodology, the accuracy of these new models is compared to that of more conventional models generated by the use of first principles and/or statistical regression analysis. The models generated by the integration of influence diagrams and neural networks are shown to have half the error or less, even though given only half as much information in creating the models. Furthermore, it is shown that, by employing the generalization ability of neural networks in the synthesis algorithm, new recipes can be produced for the process. Two such recipes are generated for the LPCVD process. One is a zero-stress polysilicon film recipe; the second is a uniform deposition rate recipe which is based on the use of a nonuniform temperature distribution during deposition. >

54 citations

Proceedings ArticleDOI
01 Jun 2016
TL;DR: BPMN4CPS is proposed, which provides a set of extensions for BPMN to properly and accurately model CPS processes and a case study of an ambulance drone system is presented.
Abstract: Modeling is one of the most important topics in the domain of Cyber-Physical Systems (CPS). In the field of process modelling, Business Process Modeling and Notation (BPMN) is the most used standard. However, BPMN remains limited to cater for the specific characteristics and properties of CPS such as real world properties. In this paper, we propose BPMN4CPS, which provides a set of extensions for BPMN to properly and accurately model CPS processes. In order to illustrate the applicability of BPMN4CPS, we present a case study of an ambulance drone system.

54 citations


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