Information Management For Engineering Design


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Information Management for Engineering Design


Information Management for Engineering Design

Author: Randy H. Katz

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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Computer-aided design syst,ems have become a big business. Advances in technology have made it commercially feasible to place a powerful engineering workstation on every designer's desk. A major selling point for these workstations is the computer aided design software they provide, rather than the actual hardware. The trade magazines are full of advertisements promising full menu design systems, complete with an integrated database (preferably "relational"). What does it all mean? This book focuses on the critical issues of managing the information about a large design project. While undeniably one of the most important areas of CAD, it is also one of the least understood. Merely glueing a database system to a set of existing tools is not a solution. Several additional system components must be built to create a true design management system. These are described in this book. The book has been written from the viewpoint of how and when to apply database technology to the problems encountered by builders of computer-aided design systems. Design systems provide an excellent environment for discovering how far we can generalize the existing database concepts for non-commercial applications. This has emerged as a major new challenge for database system research. We have attem pted to avoid a "database egocentric" view by pointing out where existing database technology is inappropriate for design systems, at least given the current state of the database art. Acknowledgements.

Engineering Design, Planning, and Management


Engineering Design, Planning, and Management

Author: Hugh Jack

language: en

Publisher: Academic Press

Release Date: 2013-01-11


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Engineering Design, Planning and Management covers engineering design methodology with an interdisciplinary approach, concise discussions, and a visual format. The book explores project management and creative design in the context of both established companies and entrepreneurial start-ups. Readers will discover the usefulness of the design process model through practical examples and applications from across the engineering disciplines. The book explains useful design techniques such as concept mapping and weighted decision matrices, supported with extensive graphics, flowcharts, and accompanying interactive templates. The discussions are organized around 12 chapters dealing with topics such as needs identification and specification; design concepts and embodiments; decision making; finance, budgets, purchasing, and bidding; communication, meetings, and presentations; reliability and system design; manufacturing design; and mechanical design. Methods in the book are applied to practical situations where appropriate. The design process model is fully demonstrated via examples and applications from a variety of engineering disciplines. The text also includes end-of-chapter exercises for personal practice. This book will be of interest to product designers/product engineers, product team managers, and students taking undergraduate product design courses in departments of mechanical engineering and engineering technology. - Chapter objectives and end-of-chapter exercises for each chapter - Supported by a set of PowerPoint slides for instructor use - Available correlation table links chapter content to ABET criteria

Knowledge Engineering and Management


Knowledge Engineering and Management

Author: Guus Schreiber

language: en

Publisher: MIT Press

Release Date: 2000


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Prologue: The Value of Knowledge -- 2. Knowledge-Engineering Basics -- 3. The Task and Its Organizational Context -- 4. Knowledge Management -- 5. Knowledge Model Components -- 6. Template Knowledge Models -- 7. Knowledge Model Construction -- 8. Knowledge-Elicitation Techniques -- 9. Modelling Communication Aspects -- 10. Case Study: The Housing Application -- 11. Designing Knowledge Systems -- 12. Knowledge-System Implementation -- 13. Advanced Knowledge Modelling -- 14. UML Notations Used in Common KADS -- 15. Project Management.