The goal of enterprise integration is the development of computer-based tools that facilitate coordination of work and information flow across organizational boundaries. These proceedings, the first on EI modeling technologies, provide a synthesis of the technical issues involved; describe the various approaches and where they overlap, complement, or conflict with each other; and identify problems and gaps in the current technologies that point to new research.The leading edge of a movement that began with computer-aided design/computer-aided manufacturing (CAD/CAM), EI now seeks to engage the development of computer-based tools to control not only manufacturing but the allied areas of materials supply, accounting, and inventory control. EI technology is pushing forward research in areas such as distributed AI, concurrent engineering, task coordination, human-computer interaction, and distributed planning and scheduling. These proceedings provide the first common technical ground for comparing, evaluating, or coordinating these efforts.Charles J. Petrie, Jr., is Senior Member of Technical Staff at MCC in Austin, Texas.Topics include: Computer Integrated Manufacturing. Open System Architecture Standards. The results of five workshops on EI modeling topics: Model Integration, Model/Application Namespace, Heterogeneous Execution Environments, Metrics and Methodologies, and Coordination Process Models.

This book combines the two methodologies of enterprise modeling and enterprise integration and advocates a systematic engineering approach called Enterprise Engineering, for modeling, analysing, designing and implementing integrated enterprise systems. Three main themes are explored in this book. The most significant enterprise modeling and integration architectures are presented. Enterprise modeling principles are then introduced and state-of-the-art methods to model various aspects of an enterprise system are discussed and compared. The final part is devoted to enterprise integration principles and techniques.

Enterprise solutions have emerged as promising tools for integrating and extending business processes across business functions. Supplying a clear and comprehensive introduction to the field, this book provides a detailed description of enterprise information integration-from the development of enterprise systems to extended enterprise information

Enterprise Integration Patterns provides an invaluable catalog of sixty-five patterns, with real-world solutions that demonstrate the formidable of messaging and help you to design effective messaging solutions for your enterprise. The authors also include examples covering a variety of different integration technologies, such as JMS, MSMQ, TIBCO ActiveEnterprise, Microsoft BizTalk, SOAP, and XSL. A case study describing a bond trading system illustrates the patterns in practice, and the book offers a look at emerging standards, as well as insights into what the future of enterprise integration might hold. This book provides a consistent vocabulary and visual notation framework to describe large-scale integration solutions across many technologies. It also explores in detail the advantages and limitations of asynchronous messaging architectures. The authors present practical advice on designing code that connects an application to a messaging system, and provide extensive information to help you determine when to send a message, how to route it to the proper destination, and how to monitor the health of a messaging system. If you want to know how to manage, monitor, and maintain a messaging system once it is in use, get this book.

This handbook is about methods, tools and examples of how to architect an enterprise through considering all life cycle aspects of Enterprise Entities. It is based on ISO15704:2000, or the GERAM Framework. A wide audience is addressed, as the handbook covers methods and tools necessary to design or redesign enterprises, as well as those necessary to structure the implementation into manageable projects.

Maintaining compatibility among all affected network and application interfaces of modern enterprise systems can quickly become costly and overwhelming. This handbook presents the knowledge and practical experience of a global group of experts from varying disciplines to help you plan and implement enterprise integration projects that respond to bu

Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models. Part 4 provides the full data model that has been in development throughout the book. The model was created using Jotne EPM Technologys EDMVisualExpress data modeling tool. This book was designed for all types of modelers: from those who understand data modeling basics but are just starting to learn about data modeling in practice, through to experienced data modelers seeking to expand their knowledge and skills and solve some of the more challenging problems of data modeling. - Uses a number of common data model patterns to explain how to develop data models over a wide scope in a way that is consistent and of high quality - Offers generic data model templates that are reusable in many applications and are fundamental for developing more specific templates - Develops ideas for creating consistent approaches to high quality data models

Dealing with the concepts behind a vendor's products, this a guide for IT managers on how to ensure the IT infrastructure matches the need of the enterprise, and which procedures should be followed to ensure this happens.

7. 2GIRDIMPLEMENTATION: AMETADATABASE 135 7. 3 UNIQUE PROPERTIES OF THE GIRD MODEL 140 7. 3. 1 The Metadatabase As an Information Resources Lnctionary 140 7. 3. 2 The metadatabase as the GlobaVEnterprise Schema 142 8 THE GLOBAL QUERY SYSTEM 145 8. 1 MODEL ASSISTED GLOBAL QUERY 145 8. l. l The Need for Metadata Support 145 8. l. 2 User Interface for Query Formulation 147 8. 1. 3 Integrated Schema for Global Query 147 8. 2 THE CONCEPTUAL MODEL 148 8. 2. 1 The Goals 149 8. 2. 2 The Defmitive Model for Metadata Requirements 149 8. 3 THE EXECUTION MODEL 156 8. 3. 1 Model Traversal 156 8. 3. 2 Rule-Base Conversion 157 8. 4 ANALYSIS 159 8. 4. 1 Metadata Modeling vs. Schema Integration 159 8. 4. 2 Conceptual Evaluation of the MGQS A~h 100 9 ADAPTIVE CONCURRENT ARCHITECTURE 163 9. 1 CONCURRENT ARCHITECTURES FOR ADAPTIVE INTEGRATION 163 9. 2 ROPE: A NEW SOFTWARE METIIOD FOR ElM 167 9. 2. l The Model of ROPE 167 9. 2. 2 The Static Structure of ROPE 169 9. 2. 3 The Dynamic Structure of ROPE 173 9. 3 THE OPERATION OF ROPE 174 9. 3. 1 Rule Processing Operations 174 9. 3. 2 Knowledge Management Operations 176 9. 4 IMPLEMENTATION: ALABORATORYEIM 177 9. 5 SATISFACTION OF ElM REQUIREMENTS 180 10 MANUFACTURING INTEGRATION 183 10. 1 INFORMATION MANAGEMENT FOR MANUFACTURING ENTERPRISE INTEGRATION 183 10. 1.