Estimating the demand pattern for C category items

J. W. Bradford, P. K. Sugrue

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

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
Volume48
Issue number5
DOIs
StatePublished - May 1997

    Fingerprint

Keywords

  • Forecasting
  • Inventory
  • Statistics

ASJC Scopus subject areas

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

Cite this