Process Modelling Support for the Conceptual Modelling Phase of a Simulation Project

Heavey,; Ryan, Martin

doi:10.1109/wsc.2006.323161

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Diverse methods are proposed to support conceptual modeling. Among them some authors see also formal approaches like Petri Nets and DEVS [11,3]. Thereby, conceptual and formal model are no longer distinguishable.…”

Section: Conceptual Model and Formal Modelmentioning

confidence: 99%

Developing simulation models - from conceptual to executable model and back - an artifact-based workflow approach

Rybacki

Haack

Wolf

et al. 2014

Proceedings of the Seventh International Conference on Simulation Tools and Techniques

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Developing a model for simulation is an art and a science. The question is how this process can be suitably supported. Integrating workflows into simulation systems promises user guidance, documentation and reproducibility of this process. However, the highly interactive, partly concurrent, partly optional nature of the modeling process challenges traditional activity-based workflow approaches. This is intensified by its multiple inter-dependencies and the need for an easy extension. We will illuminate this based on a modeling example from cell biology. To support the required flexibility, we propose an artifact-based workflow approach instead. Conceptual model, formal model and different data and information sources are specified declaratively as artifacts. The life cycle of an artifact is defined by stages, guards, milestones, and sentries, following the Guard-Stages-Milestone (GSM) approach. It is shown that the declarative specification provides a better fit for the process of developing a model.

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Section: Conceptual Model and Formal Modelmentioning

confidence: 99%

Developing simulation models - from conceptual to executable model and back - an artifact-based workflow approach

Rybacki

Haack

Wolf

et al. 2014

Proceedings of the Seventh International Conference on Simulation Tools and Techniques

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“…To address some of the limitations of IDEF in conceptual modeling, such as the inability to specify resources and represent user perspectives (c.f. Heavey and Ryan, 2006), For Exposition Only (FEO) and swimlane models augmented the IDEF model. An example of an IDEF model created under this project is shown in Figure 1.…”

Section: Environment and Input Modelingmentioning

confidence: 99%

IRS post-filing processes simulation modeling: A comparison of des with econometric microsimulation in tax administration

Greenland¹,

Morrison²,

Connors³

et al. 2007

2007 Winter Simulation Conference

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IRS Office of Research Headquarters measures and models taxpayer burden, defined as expenditures of time and money by taxpayers to comply with the federal tax system. In this research activity, IRS created two microsimulation models using econometric techniques to enable the Service to produce annual estimates of taxpayer compliance burden for individual and small business populations. Additionally, a Discrete Event Simulation (DES) model was developed to represent taxpayer activities and IRS administration in post-filing processes. This paper discusses the development of the DES Post-filing Model and compares microsimulation and DES approaches from the perspectives of policy measurement, flexibility and reporting by IRS analysts. The main strengths of microsimulation are robust segmentation of results and the ability to support representation of imbedded, joint distributions in a complex, structural model. The strengths of using DES are its queuing capability and increased flexibility to update the granularity of both the data and process changes. 12681-4244-1306-0/07/$25.00 ©2007 IEEE

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“…In the past ten years, there have been several panel discussions at, e.g., the Winter Simulation Conferences (Zhou, Son, and Chen 2004;Heavey and Ryan 2006;Robinson 2006a), the OR Society Simulation Workshop (Robinson 2006b, Wang andBrooks 2006), and the BETADE Workshop (Verbraeck and Dahanayake 2002), which acknowledge the use of conceptual modeling (CM) approach and domain specific simulation environment (DSSE) approach as a critical step to improve the quality and efficiency of discrete event simulation research studies/projects. The literature mainly states that good practice of these two approaches significantly reduce communication barriers, organize model structure, shorten project time, and improve simulation development processes (Vreede, Verbraeck, and Eijck 2003;Valentin and Verbraeck 2005;Zhou, Zhang, and Chen 2006).…”

Section: Introductionmentioning

confidence: 99%

“…A conceptual model can also be built by using knowledge representation notations such as semantic/logical graphs, where the nodes represent concepts, and the arcs represent relationships among concepts (Cyre 1999;Zhou, Son, and Chen 2004). Furthermore, a selective review of a number of current modeling methods/tools carried out by Heavey and Ryan (2006) shows that simulation developers have become more aware of using standard methods/tools such as Petri Nets, DEVS, IDEF3, and UML, to develop their own conceptual models. As well, simulation building block terminology is proposed by a research team, BETADE, at Delft University of Technology, The Netherlands, in 2001 to provide a standard methodology for the DSSE development (Verbraeck and Dahanayake 2002), instead of relying on old-fashioned programming.…”

Section: Introductionmentioning

confidence: 99%

Conceptual simulation modeling: The structure of domain specific simulation environment

Setavoraphan¹,

Grant²

2008

2008 Winter Simulation Conference

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This study focuses on the development of a conceptual simulation modeling tool that can be used to structure a domain specific simulation environment. The issues in Software Engineering and Knowledge Engineering such as object-oriented concepts and knowledge representations are addressed to identify and analyze modeling frameworks and patterns of a specific problem domain. Thus, its structural and behavioral characteristics can be conceptualized and described in terms of simulation architecture and context. Moreover, symbols, notations, and diagrams are developed as a communication tool that creates a blueprint to be seen and recognized by both domain experts and simulation developers, which leads to the effectiveness and efficiency in the simulation development of any specific domains.

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Process Modelling Support for the Conceptual Modelling Phase of a Simulation Project

Cited by 7 publications

References 14 publications

Developing simulation models - from conceptual to executable model and back - an artifact-based workflow approach

Developing simulation models - from conceptual to executable model and back - an artifact-based workflow approach

IRS post-filing processes simulation modeling: A comparison of des with econometric microsimulation in tax administration

Conceptual simulation modeling: The structure of domain specific simulation environment

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