Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Finding parameter constraint networks in a product system
Hirao, A.; Oizumi, K.; Aoyama, K.
Type:
Year:
2012
Editor:
Onishi, M.; Maurer, M.; Kirner, K.; Lindemann, U.
Author:
Series:
DSM
Institution:
The University of Tokyo, Japan
Section:
Modelling Approaches and Information Acquisition
Page(s):
101-110
ISBN:
978-3-446-43354-0
Abstract:
Several research papers on DSM have argued that, in order to realize the advanced management of product development, it is very useful to have a dependency network of parameters. In order to benefit from a dependency matrix, we require accurate and in-depth product information. Many modeling languages, such as SysML, have been developed to accurately represent information about
increasingly complex product systems. However, methodologies to simplify the representation of product systems have not been extensively discussed. This paper proposes a new support method for finding a parameter dependency network for a product system. This method is based on the assumption that product information can be classified into four elements, namely system functions,
functional roles, structural members, and parameters, and that possible dependencies between parameters can be deduced using the relationships between these elements (e.g., as a form of functionstructure diagram). This method is performed in three stages: 1) Suggestion of dependencies between parameters, 2) Extraction of constraints among parameters and generation of a parameter–constraint network, and 3) Generation of a feasible and better design process.
increasingly complex product systems. However, methodologies to simplify the representation of product systems have not been extensively discussed. This paper proposes a new support method for finding a parameter dependency network for a product system. This method is based on the assumption that product information can be classified into four elements, namely system functions,
functional roles, structural members, and parameters, and that possible dependencies between parameters can be deduced using the relationships between these elements (e.g., as a form of functionstructure diagram). This method is performed in three stages: 1) Suggestion of dependencies between parameters, 2) Extraction of constraints among parameters and generation of a parameter–constraint network, and 3) Generation of a feasible and better design process.
Keywords:
