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Managing uncertainty in potential supplier identification

Published online by Cambridge University Press:  30 September 2014

Yun Ye ,
Marija Jankovic ,
Gül E. Kremer  and
Jean-Claude Bocquet
Yun Ye
Affiliation:
Laboratoire Génie Industriel, Ecole Centrale Paris, Châtenay-Malabry, France
Marija Jankovic*
Affiliation:
Laboratoire Génie Industriel, Ecole Centrale Paris, Châtenay-Malabry, France
Gül E. Kremer
Affiliation:
Engineering Design and Industrial Engineering, Pennsylvania State University, University Park, Pennsylvania, USA
Jean-Claude Bocquet
Affiliation:
Laboratoire Génie Industriel, Ecole Centrale Paris, Châtenay-Malabry, France
*
Reprint requests to: Marija Jankovic, Laboratoire Genie Industriel, Batiment Olivier, Ecole Centrale Paris, Grande Voie des Vignes, 92 295 Châtenay-Malabry Cedex, France; E-mail: marija.jankovic@ecp.fr
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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.

Keywords

Complex System DesignModularityPotential Supplier IdentificationUncertainty Management
Type
Special Issue Articles
Information
AI EDAM , Volume 28 , Issue 4: Design of Complex Engineered Systems , November 2014 , pp. 339 - 351
Copyright
Copyright © Cambridge University Press 2014 

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