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An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control
Article asserts that spare parts inventory management is complex due to the combined impact of intermittent and variable demand patterns. This study proposes a novel nonparametric Bayesian forecasting approach with its roots in the empirical Bayes paradigm.
Date:
June 8, 2022
Creator:
Ye, Yuan; Lu, Yonggang; Robinson, Powell & Narayanan, Arunachalam
System:
The UNT Digital Library