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Quality improvement through product redesign and the learning curve

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  • Koulamas, C

Abstract

This paper presents a dynamic programming model for studying the effects of product redesign on the value, cost, and quality control processes in a single product environment. The model provides the optimal redesign policy, that is the optimal depth and the optimal timing for implementing the redesign, so the accumulated net product value can be maximized. The accumulated net product value is used as a measure of product quality, however the model formulation allows for the use of other quality functions as well. The model can be used with different sets of learning rates and cost data. It can be also used with non-uniform learning rates among the different processes, and non-uniform redesign effects on the value, cost, and quality control learning curves. Selective results demonstrate that the early implementation of the optimal redesign level enhances the accumulated net product value.

Suggested Citation

  • Koulamas, C, 1992. "Quality improvement through product redesign and the learning curve," Omega, Elsevier, vol. 20(2), pages 161-168, March.
    • Handle: RePEc:eee:jomega:v:20:y:1992:i:2:p:161-168
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    Citations

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    Cited by:

    1. Talluri, Srinivas & Narasimhan, Ram, 2004. "A methodology for strategic sourcing," European Journal of Operational Research, Elsevier, vol. 154(1), pages 236-250, April.
    2. Qi Chen & Qi Xu, 2022. "Joint optimal pricing and advertising policies in a fashion supply chain under the ODM strategy considering fashion level and goodwill," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1075-1105, July.
    3. Jaber, Mohamad Y. & Bonney, Maurice, 2003. "Lot sizing with learning and forgetting in set-ups and in product quality," International Journal of Production Economics, Elsevier, vol. 83(1), pages 95-111, January.
    4. Li, Dong & Nagurney, Anna & Yu, Min, 2018. "Consumer learning of product quality with time delay: Insights from spatial price equilibrium models with differentiated products," Omega, Elsevier, vol. 81(C), pages 150-168.
    5. Hua, Zhongsheng & Zhang, Xuemei & Xu, Xiaoyan, 2011. "Product design strategies in a manufacturer-retailer distribution channel," Omega, Elsevier, vol. 39(1), pages 23-32, January.
    6. Muhammad Babar Ramzan & Shehreyar Mohsin Qureshi & Sonia Irshad Mari & Muhammad Saad Memon & Mandeep Mittal & Muhammad Imran & Muhammad Waqas Iqbal, 2019. "Effect of Time-Varying Factors on Optimal Combination of Quality Inspectors for Offline Inspection Station," Mathematics, MDPI, vol. 7(1), pages 1-18, January.
    7. M. Jaber & Z. Givi, 2015. "Imperfect production process with learning and forgetting effects," Computational Management Science, Springer, vol. 12(1), pages 129-152, January.
    8. Qi Chen & Qi Xu, 0. "Joint optimal pricing and advertising policies in a fashion supply chain under the ODM strategy considering fashion level and goodwill," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-31.
    9. Liu, Guowei & Zhang, Jianxiong & Tang, Wansheng, 2015. "Strategic transfer pricing in a marketing–operations interface with quality level and advertising dependent goodwill," Omega, Elsevier, vol. 56(C), pages 1-15.

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