Complexity Metrics in Engineering Design [recurso electrónico] : Managing the Structure of Design Processes / by Matthias Kreimeyer, Udo Lindemann.
Tipo de material: TextoEditor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XIII, 403p. 199 illus., 87 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642209635Tema(s): Engineering | Computer aided design | Physics | Engineering design | Management information systems | Engineering | Complexity | Engineering Design | Computer-Aided Engineering (CAD, CAE) and Design | Business Information SystemsFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 620 Clasificación LoC:QA76.9.M35Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | QA76.9 .M35 (Browse shelf(Abre debajo)) | 1 | No para préstamo | 376169-2001 |
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QA76.9 .M35 Grey Systems | QA76.9 .M35 Modeling Multi-Level Systems | QA76.9 .M35 Modern Mathematical Tools and Techniques in Capturing Complexity | QA76.9 .M35 Complexity Metrics in Engineering Design | QA76.9 .M35 Nonlinear Dynamical Systems in Engineering | QA76.9 .M35 Computer Algebra in Scientific Computing | QA76.9 .M35 Theoretical and Mathematical Foundations of Computer Science |
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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