Abstract
The previous chapter contained a comprehensive overview on the instance generation problem. It turned out that the deterministic aspects of an RM problem are highly application specific. In addition, we have seen that some statistical issues, e. g. cleaning and unconstraining demand data obtained are also relevant. While the former again strongly depends on the actual degree of errors or omissions in the data, standard methods for the latter are available. In this chapter we thus focus on the dynamic and stochastic aspects of instance generation: the simulation of stochastic demand data streams.
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© 2007 Springer-Verlag Berlin Heidelberg
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(2007). Simulation of Stochastic Demand Data Streams. In: Revenue Management with Flexible Products. Lecture Notes in Economics and Mathematical Systems, vol 596. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72316-5_5
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DOI: https://doi.org/10.1007/978-3-540-72316-5_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72315-8
Online ISBN: 978-3-540-72316-5
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