Abstract
This paper presents an approach to enhance enterprise integration in engineering projects, that makes systematic use of model definition, formalization and analysis. Our definition of enterprise models is based on a philosophy for thinking about enterprise in terms of “an Organization, carrying out a set of Processes to create one or more Products which satisfy predefined Objectives.” This framework, which we have denoted the OPPO, illustrates our belief that enterprise models must give a complete and correct description of relevant aspects of reality in order to address their stated purpose. Based on the OPPO framework and an information processing view of project enterprise, we formalize our models using a methodology for describing coordination requirements. This is based on the well known interaction matrices of Quality Function Deployment (QFD), to develop so called “houses of complexity, uncertainty and interdependence” that describe important dependencies between project requirements (objectives), deliverables (products), activities (process) and team members (organization). We use these dependencies as a basis for deriving measures of the coordination which must take place between various project participants during project execution. We can then use these coordination requirements as input to analysis, in the Virtual Design Team (VDT) object oriented discrete event simulation environment. The simulation results can be used for systematically assessing predicted effects of proposed changes. The framework, methodology and analysis is illustrated by an example from engineering design of subsea modules for oil and gas production in offshore field development. The results from simulation gives various performance measures, including critical path duration, work volume (a substitute for cost) and process performance in coordination (error handling and communication attendance).
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Christensen, L.C., Christiansen, T.R., Jin, Y., Levitt, R.E., Kunz, J. (1996). Modeling and Simulation in Enterprise Integration — a framework and an application in the offshore oil industry. In: Bernus, P., Nemes, L. (eds) Modelling and Methodologies for Enterprise Integration. IFIP — The International Federation for Information Processing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-34983-1_19
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DOI: https://doi.org/10.1007/978-0-387-34983-1_19
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