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Monopolistic Pricing and the Learning Curve: An Algorithmic Approach

Author

Listed:
  • Maqbool Dada

    (University of Illinois at Chicago, Chicago, Illinois)

  • K. N. Srikanth

    (University of Illinois at Chicago, Chicago, Illinois)

Abstract

This paper analyzes a multiperiod production planning model which incorporates pricing decisions and learning effects. We provide a partial characterization of the optimal policy. This result, combined with a simple algorithm, is used to find the optimal solution in special cases and near-optimal solutions for the general case.

Suggested Citation

  • Maqbool Dada & K. N. Srikanth, 1990. "Monopolistic Pricing and the Learning Curve: An Algorithmic Approach," Operations Research, INFORMS, vol. 38(4), pages 656-666, August.
    • Handle: RePEc:inm:oropre:v:38:y:1990:i:4:p:656-666
    DOI: 10.1287/opre.38.4.656
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    Citations

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    Cited by:

    1. Alessandro Arlotto & Stephen E. Chick & Noah Gans, 2014. "Optimal Hiring and Retention Policies for Heterogeneous Workers Who Learn," Management Science, INFORMS, vol. 60(1), pages 110-129, January.
    2. Mazzola, Joseph B. & Neebe, Alan W. & Rump, Christopher M., 1998. "Multiproduct production planning in the presence of work-force learning," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 336-356, April.
    3. Kaivanto, Kim & Zinober, Alan, 2015. "When are Capital Structure Decisions Nonseparable from Production Planning? The Case of Generalized Royalty-Based Hybrid Finance," MPRA Paper 66963, University Library of Munich, Germany.
    4. Kim Kaivanto & Alan Zinober, 2015. "When are capital structure decisions nonseparable from production planning?," Working Papers 96496260, Lancaster University Management School, Economics Department.
    5. Nicholas C. Petruzzi & Maqbool Dada, 2002. "Dynamic pricing and inventory control with learning," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(3), pages 303-325, April.

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