Optimal Backlogging over an infinite horizon under time-varying convex production and inventory costs

Archis Ghate, Robert L. Smith

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We consider an infinite horizon production planning problem with nonstationary, convex production and inventory costs. Backlogging is allowed, unlike as in related previous work, and inventory cost is interpreted as backlogging cost when inventory is negative. We create finite horizon truncations of the infinite horizon problem and employ classic results on convex production planning to derive a closed-form formula for the minimum forecast horizon. We show that optimal production levels are monotonically increasing in the length of horizon, leading to solution convergence and a rolling horizon procedure for delivering an infinite horizon optimal production plan. The minimum forecast horizon formula is employed to illustrate how cost parameters affect how far one must look into the future to make an infinite horizon optimal decision today.

Original languageEnglish (US)
Pages (from-to)362-368
Number of pages7
JournalManufacturing and Service Operations Management
Volume11
Issue number2
DOIs
StatePublished - Mar 2009
Externally publishedYes

Keywords

  • Convex network flow
  • Minimum forecast horizons
  • Production planning

Fingerprint

Dive into the research topics of 'Optimal Backlogging over an infinite horizon under time-varying convex production and inventory costs'. Together they form a unique fingerprint.

Cite this