Modeling stochastic lead times in multi-echelon systems

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)
66 Downloads (Pure)

Abstract

In many multi-echelon inventory systems, the lead times are random variables. A common and reasonable assumption in most models is that replenishment orders do not cross, which implies that successive lead times are correlated. However, the process that generates such lead times is usually not well defined, which is especially a problem for simulation modeling. In this paper, we use results from queuing theory to define a set of simple lead time processes guaranteeing that (a) orders do not cross and (b) prespecified means and variances of all lead times in the multiechelon system are attained.
Original languageEnglish
Pages (from-to)469-485
Number of pages17
JournalProbability in the engineering and informational sciences
Volume11
Issue number4
DOIs
Publication statusPublished - 1997

Keywords

  • METIS-124387
  • IR-71590

Fingerprint Dive into the research topics of 'Modeling stochastic lead times in multi-echelon systems'. Together they form a unique fingerprint.

  • Cite this