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

H Zhang () and H I Mesak
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H Zhang: East Central University
H I Mesak: Louisiana Tech University

Journal of the Operational Research Society, 2010, vol. 61, issue 5, 780-789

Abstract: 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.

Keywords: capacity allocation; nonlinear programming; pricing; service operations; simulation (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1057/jors.2009.29

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