Abstract
In this article, I describe alternative types of optimization models for minimizing distribution costs. After reviewing models for the case of deterministic demand, several applications are described which illustrate the cost savings that can be attained with such models. Extensions to the case of stochastic demand are then given. Alternative models for distribution problems with stochastic demand are described, and the implications on computational difficulty of these different types of models are discussed.
Supported by the Dean’ s Fund for Faculty Research of the Owen Graduate School of Management of Vanderbilt University.
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© 1984 Springer-Vsrlag Berlin Heidelberg
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LeBlanc, L.J. (1984). Optimization Models for Distribution Planning. In: Bamberg, G., Spremann, K. (eds) Risk and Capital. Lecture Notes in Economics and Mathematical Systems, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45569-8_15
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DOI: https://doi.org/10.1007/978-3-642-45569-8_15
Publisher Name: Springer, Berlin, Heidelberg
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