ARIMA Forecasting Models in Inventory Control

W. D. Ray

12 citations0/0 files storedJournal of the Operational Research Society

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Supply Chain and Inventory Management Management and Optimization Techniques Forecasting Techniques and Applications

Abstract

In many industrial inventory control systems the policy of reordering and at what level depends crucially on the statistical properties of the random sum of a sequence of sales demands over the lead time. Current practice has conveniently assumed that the sales demands are independent. This paper considers the modifications required when the ARIMA model form of dependence applies.

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1977Time Series Analysis: Forecasting and Control 1975The Gamma Distribution and Inventory Control 1976Asymptotic Mean Square Prediction Error for an Autoregressive Model with Estimated Coefficients 1973Multiperiod Predictions from Stochastic Difference Equations by Bayesian Methods 1980The Significance of Correlated Demands and Variable Lead Times for Stock Control Policies

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