Abstract
Almost all inventory problems in mathematical papers are treated by using shortage costs whereas practioners have difficulties to determine the cost factor for undelivered demand and prefer constraints on the expected shortage quantity. Similar problems of optimization under constraints instead of using weighted sums of different objective functions arise in almost all fields of application.
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© 1984 Springer-Verlag Berlin Heidelberg
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Hübner, G. (1984). Approximations for Markov Decision Problems with Constraints. In: Steckhan, H., Bühler, W., Jäger, K.E., Schneeweiß, C., Schwarze, J. (eds) DGOR. Operations Research Proceedings, vol 1983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-69546-9_103
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DOI: https://doi.org/10.1007/978-3-642-69546-9_103
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