Inventory Policy with Parametric Demand: Operational Statistics, Linear Correction, and Regression

In this paper, we consider data‐driven approaches to the problem of inventory control. We first consider the approach of operational statistics and review related results which enable us to maximize a priori expected profit uniformly over all parameter values, when the demand distribution is known u...

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Veröffentlicht in:	Production and operations management 2012-03, Vol.21 (2), p.291-308
Hauptverfasser:	Ramamurthy, Vivek, George Shanthikumar, J., Shen, Zuo-Jun Max
Format:	Artikel
Sprache:	eng
Schlagworte:	demand ambiguity Estimates Expected values Inventory Inventory control Inventory management Linear programming model uncertainty newsvendor model operational statistics Order quantity Regression analysis Standard deviation Studies
Online-Zugang:	Volltext
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