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Lean Design for the Developing World: Making Design Decisions Through the Use of Validated Learning Techniques in the Developing World

[+] Author Affiliations
Jordan F. Pease, Jered H. Dean, Douglas L. Van Bossuyt

Colorado School of Mines, Golden, CO

Paper No. IMECE2014-36612, pp. V011T14A040; 11 pages
doi:10.1115/IMECE2014-36612
From:
  • ASME 2014 International Mechanical Engineering Congress and Exposition
  • Volume 11: Systems, Design, and Complexity
  • Montreal, Quebec, Canada, November 14–20, 2014
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4960-6
  • Copyright © 2014 by ASME

abstract

Current methods for design in the developing world rely on many tools that are used in standard product and system design. Design for the developing world methods, such as Human Centered Design or co-design, often use a user-centered method yet advise the use of design tools developed for use in a market-centered approach. Recent advances in market-centered design from lean startup methodologies and decision-based design hold promise for the development of new methods that allow effective product design for consumers in the developing world. The Lean Design for the Developing World method (LDW) is an iterative method that is based upon three fundamental hypotheses including the growth hypothesis, the value hypothesis, and the impact hypothesis. LDW seeks to provide products for under-served markets of the developing world that are economically viable, have strong market growth potential, and have a net positive impact on the customers and their communities. This paper contributes a novel detailed method to collect and analyze qualitative and quantitative data for the LDW. To enable effective decision making and design tradeoff decision-making in the LDW, effective accounting and gathering of feedback data is vital.

Copyright © 2014 by ASME

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Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

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