Complexity Metrics in Engineering Design [electronic resource]: Managing the Structure of Design Processes / by Matthias Kreimeyer, Udo Lindemann.
Tipo de material: TextoDescripción: XIII, 403p. 199 illus., 87 illus. in color. online resourceISBN: 9783642209635 99783642209635Tema(s): Engineering | Engineering | COMPUTER, AIDED ENGINEERING (CAD, CAE) AND DESIGN | BUSINESS INFORMATION SYSTEMS | MANAGEMENT INFORMATION SYSTEMS | COMPLEXITY | PHYSICS | COMPUTER AIDED DESIGN | ENGINEERING DESIGN | ENGINEERING DESIGNClasificación CDD: 620 Recursos en línea: ir a documentoTipo de ítem | Ubicación actual | Colección | Signatura | Info Vol | Copia número | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
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DOCUMENTOS DIGITALES | Biblioteca Jorge Álvarez Lleras | Digital | 620 223 (Navegar estantería) | Ej. 1 | 1 | Disponible | D000261 |
Navegando Biblioteca Jorge Álvarez Lleras Estantes, Código de colección: Digital Cerrar el navegador de estanterías
620 223 Morphogenesis | 620 223 Fractal Analysis in Machining | 620 223 Seeking Chances | 620 223 Complexity Metrics in Engineering Design | 620 223 Developing Concepts in Applied Intelligence | 620 223 Nonlinear Dynamical Systems in Engineering | 620 223 Impact Engineering of Composite Structures |
Introduction: Focus of this research -- The foundations of complexity metrics -- Concept of a structural measurement system for engineering design processes -- Modeling the structure of engineering design processes -- Complexity Metrics for Design Processes -- The S-GQM framework to select metrics -- Industrial application of metrics -- Conclusions and outlook -- References -- Appendix -- Keyword index.
This book presents the results of several years research work on how to characterize complexity in engineering design with a specific regard to dependency modeling. The 52 complexity metrics that are presented show different facets of how complexity takes shape in design processes. The metrics are supported by a modeling method and a measurement framework to employ the metrics in a goal-oriented manner. The detailed description of all involved metrics and models makes it possible to apply the analysis approach to common process modeling methodologies. Three case studies from automotive process management illustrate the application to facilitate the transfer to other cases in an industrial context. The comprehensive appendix supplies additional details and checklists for structural analysis to generate a complete overview of current means of structural analysis.
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