Integration of risk identification with business process models

James H. Lambert · Rachel K. Jennings · Nilesh N. Joshi

67 citations0/0 files storedSystems Engineering

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Business Process Modeling and Analysis Risk and Safety Analysis Systems Engineering Methodologies and Applications

Abstract

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 $1.5 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

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References

1981On The Quantitative Definition of Risk 1995The Object Advantage: Business Process Reengineering With Object Technology 1999Risk Modeling, Assessment, and Management 2004Risk Modeling, Assessment, and Management 1995Information Integration for Concurrent Engineering (IICE) IDEF3 Process Description Capture Method Report 2001A new importance measure for risk-informed decision making 2002Risk Filtering, Ranking, and Management Framework Using Hierarchical Holographic Modeling 2001Fitting Hierarchical Holographic Modeling into the Theory of Scenario Structuring and a Resulting Refinement to the Quantitative Definition of Risk

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