Application of Average Dynamic Programming to Inventory Systems

Oscar Vega-Amaya*, Raúl Montes-De-Oca

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

We show the existence of average cost (AC-) optimal policy for an inventory system with uncountable state space; in fact, the AC-optimal cost and an AC-optimal stationary policy are explicitly computed. In order to do this, we use a variant of the vanishing discount factor approach, which have been intensively studied in recent years but the available results not cover the inventory problem we are interested in.

Original languageEnglish
Pages (from-to)451-471
Number of pages21
JournalMathematical Methods of Operations Research
Volume47
Issue number3
DOIs
StatePublished - 1998

Keywords

  • Average cost
  • Discrete-time Markov control processes
  • Dynamic programming
  • Inventory systems
  • Unbounded costs and controls

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