Long life cycle products, commonly found in aviation, medical and critical infrastructure applications, are often fielded and supported for long periods of time (20 years or more). The manufacture and support of long life cycle products rely on the availability of suitable parts, which over long periods of time, leaves the parts susceptible to a number of possible supply chain disruptions such as suppliers exiting the market, counterfeit part risks, and part obsolescence. One solution to mitigating the supply chain risk is the strategic formulation of suitable part sourcing strategies (optimally selecting one or more suppliers from which to purchase parts over the life of the part’s use within a product or within an organization). Strategic sourcing offers one way of avoiding the risk of part unavailability (and its associated penalties), but at the possible expense of qualification and support costs for multiple suppliers. Existing methods used to study part sourcing decisions are procurement-centric where cost tradeoffs focus on part pricing, negotiation practices and purchase volumes. These studies are commonplace in strategic parts management for short life cycle products; however, conventional procurement-centric approaches offer only a limited view when assessing parts used in long life cycle products. Procurement-driven decision-making provides little to no insight into the accumulation of life cycle cost (attributed to the adoption and use of the part), which can be significantly larger than procurement costs in long life cycle products. This paper presents a new life cycle modeling approach to quantify risk that enables cost effective part sourcing strategies. The method quantifies obsolescence risk as “annual expected total cost of ownership (TCO) per part site” modeled by estimating the likelihood of obsolescence and using that likelihood to determine the TCO allowing sourcing strategies to be compared on a life cycle cost basis. The method is demonstrated for electronic parts in an example case study of linear regulators and shows that when procurement and inventory costs are small contributions to the part’s TCO, the cost of qualifying and supporting a second source outweighs the benefits of extending the part’s effective procurement life.
Skip Nav Destination
ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 28–31, 2011
Washington, DC, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
978-0-7918-5486-0
PROCEEDINGS PAPER
A Model for Making Part Sourcing Decisions for Long Life Cycle Products
Varun J. Prabhakar,
Varun J. Prabhakar
University of Maryland at College Park, College Park, MD
Search for other works by this author on:
Peter Sandborn
Peter Sandborn
University of Maryland at College Park, College Park, MD
Search for other works by this author on:
Varun J. Prabhakar
University of Maryland at College Park, College Park, MD
Peter Sandborn
University of Maryland at College Park, College Park, MD
Paper No:
DETC2011-47593, pp. 929-937; 9 pages
Published Online:
June 12, 2012
Citation
Prabhakar, VJ, & Sandborn, P. "A Model for Making Part Sourcing Decisions for Long Life Cycle Products." Proceedings of the ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 9: 23rd International Conference on Design Theory and Methodology; 16th Design for Manufacturing and the Life Cycle Conference. Washington, DC, USA. August 28–31, 2011. pp. 929-937. ASME. https://doi.org/10.1115/DETC2011-47593
Download citation file:
4
Views
Related Articles
Interoperability Standards in the Semantic Web
J. Comput. Inf. Sci. Eng (March,2002)
A Complexity Model for Assembly Supply Chains and Its Application to Configuration Design
J. Manuf. Sci. Eng (April,2010)
Integrated Sustainable Life Cycle Design: A Review
J. Mech. Des (September,2010)
Related Chapters
Medicine Distribution Security and Quality Monitoring System Based to RFID
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)
Research on Production-Distribution Collaborative Planning for Distributed Decision Environment
International Conference on Measurement and Control Engineering 2nd (ICMCE 2011)
Study on Supply Chain Risk Early-Warning Based on Artificial Immunity
International Conference on Advanced Computer Theory and Engineering, 4th (ICACTE 2011)