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Design Science Journal
Papers

Finding parameter constraint networks in a product system

Finding parameter constraint networks in a product system

Year: 2012

Section: Modelling Approaches and Information Acquisition

Editor: Onishi, M.; Maurer, M.; Kirner, K.; Lindemann, U.

Author: Hirao, A.; Oizumi, K.; Aoyama, K.

Series: DSM

Institution: The University of Tokyo, Japan

Section: Modelling Approaches and Information Acquisition

Pages: 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.

Keywords: Dependency network, constraint network, function structure model, product modeling, design process

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ds endorsed conferenceDSM 2012 - 14th International DSM Conference

Dependency and Structure Modeling (DSM) originates from the methods that have come about from using the Design Structure Matrix and similar methods (matrix-based as well as graph based). These methods have proven very valuable in designing complex systems, optimizing technical systems and product architectures and organizations, densely networked processes and large market structures. With its ability to manage complexity by looking into the structure of a system, it has led to many other advances...

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