Estimating the demand pattern for C category items

J. W. Bradford, P. K. Sugrue

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


This paper presents a methodology for estimating the demand pattern for the slowest-moving C category inventory items. The methodology uses an aggregation-by-items scheme and a forecasting procedure based on conditional demand analysis whereby aggregate demand is assumed to be an arbitrarily mixed, heterogeneous Poisson distribution. Practical aspects of demand heterogeneity, parameter estimation and model implementation are illustrated using a case study in retail inventory planning and control.

Original languageEnglish (US)
Pages (from-to)530-532
Number of pages3
JournalJournal of the Operational Research Society
Issue number5
StatePublished - May 1997


  • Forecasting
  • Inventory
  • Statistics

ASJC Scopus subject areas

  • Management Information Systems
  • Strategy and Management
  • Management Science and Operations Research
  • Marketing


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