Title
Managing uncertainty in potential supplier identification.
Abstract
As a benefit of modularization of complex systems, original equipment manufacturers (OEMs) can choose suppliers in a less constricted way when faced with new or evolving requirements. However, new suppliers usually add uncertainties to the system development. Because suppliers are tightly integrated into the design process in modular design and therefore greatly influence the outcome of the OEM's products, the uncertainty along with requirements satisfaction of the suppliers and their modules should be controlled starting from potential supplier identification. In addition, to better satisfy new requirements, the potential supplier identification should be combined with architecture generation to enable the new technology integration. In this paper, we propose the Architecture & Supplier Identification Tool, which generates all possible architectures and corresponding suppliers based on new requirements through matrix mapping and propagation. Using the Architecture & Supplier Identification Tool, the overall uncertainty and requirements satisfaction of generated architectures can be estimated and controlled. The proposed method aims at providing decision support for early design of complex systems, thereby helping OEMs have an integrated view of suppliers and system architectures in requirements satisfaction and overall uncertainty.
Year
DOI
Venue
2014
10.1017/S0890060414000511
AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING
Keywords
Field
DocType
Complex System Design,Modularity,Potential Supplier Identification,Uncertainty Management
Complex system,Architecture,Systems engineering,Supplier relationship management,Original equipment manufacturer,Decision support system,Modular programming,Modular design,Engineering,Modularity
Journal
Volume
Issue
ISSN
28
SP4
0890-0604
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Yun Ye100.34
Marija Jankovic2236.75
Gül E. Okudan Kremer3267.37
Jean-Claude Bocquet4496.79