This work explores the newly created discipline of enterprise integration, which is a business-oriented synthesis of many disciplines such as management science, information technology, production management and artifical intelligence. The major topics discussed include: the needs of industry and the first results using enterprise integration methodologies; making methodologies easier to interpret by discussing them as procedures; enterprise modelling languagesand their theoretical backgrounds; reference architectures as a framework for the life-cycle of an enterprise's transformation; enterprise engineering CASE/CAEE tools that allow computer simulation, analysis and workflow enactment of enterprise models; contribution of distributed artificial intelligence to the design of agile, competitive enterprises. This book should be useful reading for academics, research students, consultants, business process analysts, information technology managers and manufacturing management experts working in the area of enterprise integration. This book should be of interest to academics and research students; IT managers; software engineers; manufacturing engineers; project managers; control engineers; consultants; business process analysts.
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Foreword. Part One: Papers.Enterprise integration: engineering tools for designing enterprises. Use of the Purdue enterprise reference architecture and methodology in industry (the Fluor Daniel example). Process oriented presentation of modelling methodologies. Enterprise representation: an analysis of standards issues. Process-oriented modelling and analysis of businesss processes using the R/J reference model. A framework for business renovation (FBR).: toward an intellectual infrastructure for the extended enterprise. Multicriteria-based decision making models for computer integrated enterprise. Conceptual design of information systems based on enterprise modelling. Manufacturing strategy assessment for enterprise integration. The logic of enterprise modelling. Repository structures for evolving federated database schemas. CIM business process and enterprise activity modelling. The meaning of an enterprise model. A situation theoretic approach to the representation of processes. Enterprise engineering methods and tools which facilitate simulation, emulation and enactment via formal models. Workflow-management-systems as enterprise engineering tools. Objects and environments in dynamic CIMOSA models. A systematic approach to the analysis and (re)design of logistic networks. Modelling and simulation in enterprise integration: a framework and an application in the offshore oil industry. Production scheduling: a generic building block for enterprise integration. Challenges and directions for EI: a distributed AI perspective. A methodology for developing agent based systems for enterprise integration. A change architecture for enterprises: a semiotic model. Distributed object oriented logic programming as a tool for enterprise modelling. Part Two: Transcript of discussions and panel session. Index of contributors. Keyword Index.
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