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Optimal multi-period service capacity allocation and pricing allowing for uncertain competitive entry

Author

Listed:
  • H Zhang

    (East Central University)

  • H I Mesak

    (Louisiana Tech University)

Abstract

A nonlinear programming model is formulated in this paper to determine the optimal scheme of capacity allocation and prices over a multi-period planning horizon for a service provider in the absence and presence of uncertain competitive entry. The model is solved for constant, decreasing, and increasing price sensitivities employing a combination of analytical and numerical methods. The study highlights the importance of advance selling of service prior to its eventual consumption in the spot period and investigates the impact of uncertain competitive entry on the optimal capacity allocation policy and its related profit if the entry is more or less likely or if the rival is more or less influential. The findings of the study reveal that the conclusions drawn from a two-period model are not necessarily generalizable to a model of a multi-period planning horizon.

Suggested Citation

  • H Zhang & H I Mesak, 2010. "Optimal multi-period service capacity allocation and pricing allowing for uncertain competitive entry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(5), pages 780-789, May.
    • Handle: RePEc:pal:jorsoc:v:61:y:2010:i:5:d:10.1057_jors.2009.29
    DOI: 10.1057/jors.2009.29
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    References listed on IDEAS

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