This paper presents a value quantification model for multi-stage product development using lean principles. The proposed value model considers four main stages of product development (PD) including conceptual development, systems design, detailed design and prototyping. The model determines an optimal solution for each of the design variables to maximize the value at each of the PD stages. The value at each of the PD stages is formulated as a function of the six factors: (a) importance of customer requirements (b) cost of customer’s ownership, (c) parts/service availability, (d) weighted average cost of capital, (e) information evolution and (f) risk reduction. Factors (a)-(d) have been adequately addressed in the literature. This study focuses on information evolution and risk reduction. These two factors are defined by a set of value attributes including performance, risk, schedule, cost, form, fit, function and timeliness. An example of Detonator Disposal (DD) robot family is used to explain the working of the proposed model.
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ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 30–September 2, 2009
San Diego, California, USA
Conference Sponsors:
- Design Engineering Division and Computers in Engineering Division
ISBN:
978-0-7918-4899-9
PROCEEDINGS PAPER
Developing a Lean Value Model for Product Development
Salik Yadav,
Salik Yadav
Missouri University of Science and Technology, Rolla, MO
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Venkat Allada
Venkat Allada
Missouri University of Science and Technology, Rolla, MO
Search for other works by this author on:
Salik Yadav
Missouri University of Science and Technology, Rolla, MO
Venkat Allada
Missouri University of Science and Technology, Rolla, MO
Paper No:
DETC2009-86491, pp. 481-488; 8 pages
Published Online:
July 29, 2010
Citation
Yadav, S, & Allada, V. "Developing a Lean Value Model for Product Development." Proceedings of the ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2: 29th Computers and Information in Engineering Conference, Parts A and B. San Diego, California, USA. August 30–September 2, 2009. pp. 481-488. ASME. https://doi.org/10.1115/DETC2009-86491
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