Integrating Technology Obsolescence Considerations Into Product Design Planning

Technology life cycles affect a product manager’s ability to sustain systems through their manufacturing and field lives. The lack of availability of critical parts and technologies poses a challenge not only to the acquisition community, but to customers of products that must be maintained for long periods of time. Technology obsolescence has an especially serious impact on systems that have significant electronics content because electronic parts are quickly obsoleted in favor of newer, higher performance components. In this study, market availability data was analyzed for operational amplifiers, a technology integral to most electronic products, and for flash memory devices. Procurement lifetimes are shown to have shrunk since operational amplifiers emerged on the market. Algorithms for forecasting electronic part obsolescence are proposed and the ramifications of electronic part obsolescence on product design planning are discussed.Copyright © 2007 by ASME

[1]  Farhad Ameri,et al.  Product Lifecycle Management: Closing the Knowledge Loops , 2005 .

[2]  G. Zell Porter An Economic Method for Evaluating Electronic Component Obsolescence Solutions , 1998 .

[3]  F. Mauro,et al.  A Data Mining Based Approach to Electronic Part Obsolescence Forecasting , 2007, IEEE Transactions on Components and Packaging Technologies.

[4]  Garrett van Ryzin,et al.  An Analysis of Product Lifetimes in a Technologically Dynamic Industry , 1998 .

[5]  J. Houston,et al.  Optimum technology insertion into systems based on the assessment of viability , 2003 .

[6]  Ronald C. Stogdill Dealing with Obsolete Parts , 1999, IEEE Des. Test Comput..

[7]  John Hayes Christensen Generalized emulation of microcircuits technology transition strategy , 1994 .

[8]  Peter Sandborn,et al.  A Taxonomy and Evaluation Criteria for DMSMS Tools, Databases and Services , 2007 .

[9]  Pameet Singh,et al.  Obsolescence Driven Design Refresh Planning for Sustainment-Dominated Systems , 2006 .

[10]  Michael A. Salsburg,et al.  Modeling and Forecasting , 2007, Int. CMG Conference.

[11]  William P. Putsis,et al.  Product Proliferation: An Empirical Analysis of Product Line Determinants and Market Outcomes , 1999 .

[12]  T. E. Herald Technology refreshment strategy and plan for application in military systems a "How-to systems development process" and linkage with CAIV , 2000, Proceedings of the IEEE 2000 National Aerospace and Electronics Conference. NAECON 2000. Engineering Tomorrow (Cat. No.00CH37093).

[13]  Michael Pecht,et al.  Electronic part life cycle concepts and obsolescence forecasting , 2000 .

[14]  Wolfgang Beitz,et al.  Engineering Design: A Systematic Approach , 1984 .

[15]  Walter G Jung Op Amp Applications Handbook , 2004 .

[16]  Michael Gort,et al.  First Mover Advantage and the Speed of Competitive Entry, 1887-1986 , 1999 .

[17]  Brian R. Gaines,et al.  Modeling and forecasting the information sciences , 1991, Inf. Sci..

[18]  W. Block,et al.  The Trade Gap: The Fallacy of Anti World-Trade Sentiment , 2003 .

[19]  Bruce Tonn,et al.  Technology for Sustainability , 2008 .

[20]  Michael Pecht,et al.  Uprating of electronic parts to address obsolescence , 2006 .