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A dynamic process-based cost modeling approach to understand learning effects in manufacturing

Author

Listed:
  • Nadeau, Marie-Claude
  • Kar, Ashish
  • Roth, Richard
  • Kirchain, Randolph

Abstract

Informed technology decision-making requires a structured understanding of cost evolution over time. A dynamic approach integrating learning curves and process-based cost modeling is introduced to examine learning in manufacturing. The approach is applied to the case of a hydroforming process, and quantifies the cost impacts of learning improvements in cycle time, downtime, and reject rates. A comparison with cases of automotive assembly and wire drawing illustrates that variation in learning is tied to the individual process cost structure. The results show aggregate cost evolution is strongly dependent on cost structure and that major cost elements may not align with major cost improvement-through-learning opportunities. The analyses can be used to focus intentional learning activities on primary learning operational drivers.

Suggested Citation

  • Nadeau, Marie-Claude & Kar, Ashish & Roth, Richard & Kirchain, Randolph, 2010. "A dynamic process-based cost modeling approach to understand learning effects in manufacturing," International Journal of Production Economics, Elsevier, vol. 128(1), pages 223-234, November.
  • Handle: RePEc:eee:proeco:v:128:y:2010:i:1:p:223-234
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    References listed on IDEAS

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    3. Sung, Bongsuk & Song, Woo-Yong, 2014. "How government policies affect the export dynamics of renewable energy technologies: A subsectoral analysis," Energy, Elsevier, vol. 69(C), pages 843-859.
    4. Hasan Özyapıcı & İlhan Dalcı & Ali Özyapıcı, 0. "Integrating accounting and multiplicative calculus: an effective estimation of learning curve," Computational and Mathematical Organization Theory, Springer, vol. 0, pages 1-13.
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    6. Anzanello, Michel J. & Fogliatto, Flavio S. & Santos, Luana, 2014. "Learning dependent job scheduling in mass customized scenarios considering ergonomic factors," International Journal of Production Economics, Elsevier, vol. 154(C), pages 136-145.

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