Describing the engineering modeling knowledge for complexity management in the design of complex city

DS 75-6: Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, Vol.6: Design Information and Knowledge, Seoul, Korea, 19-22.08.2013

Year: 2013
Editor: Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author: Ostrosi, Egon; Pfaender, Fabien; Choulier, Denis; Fougères, Alain-Jérôme; Tzen, MonZen
Series: ICED
Institution: 1: Laboratoire IRTES-M3M, Université de Technologie de Belfort-Montbéliard, France; 2: ComplexCity Laboratory, UTSEUS, Sino-European School of Technology of Shanghai, University of Shanghai, China; 3: ESTA, School of Business and Engineering, Belfort, France; 4: COSTECH Lab EA2223, Université de Technologie de Compiègne, France
Page(s): 189-198
ISBN: 978-1-904670-49-0
ISSN: 2220-4334

Abstract

Engineering design and planning of the city of the future for its citizens of all ages with its fast and dynamic evolving structure is a complex problem. The goal of this paper is to propose a new model for describing engineering modeling knowledge using “what we want to achieve” and “how we want to achieve” relationships and transformations. This will help us to assist the complexity management in engineering design of the city of Shanghai considered as living laboratory. The proposed model is based on the principles of the axiomatic design approach, structured on four levels of modeling: (1) conceptual (2) mathematical (3) computational and (4) experimental. Our approach advocates that a complete engineering modeling framework is necessary for managing engineering design of a complex city. The model captures the knowledge of engineers through the building sixteen key models. It can be used for the development and the diagnostic of the engineering design process of a complex city. The paper presents some findings from the application of the proposed meta-model.

Keywords: Complexity, design management, knowledge management, design methodology, experimental models

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