An approach for designing order size dependent lead time models for use in inventory and supply chain management

Peter Nielsen*, Zbigniew Michna

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

Abstract

This paper addresses the issue of lead time behavior in supply chains. In supply chains without information sharing a supply chain member can only use the information they observe; orders/demand and their lead times. Using this information four different scenarios of lead time behavior are suggested and discussed. Based on this discussion an analytical approach is proposed that investigates the link between order quantities and lead times. This approach is then demonstrated on data from a company. In the particular case it is determined that there seems to be a link between order quantities and lead times, indicating that a complex lead time model may be necessary. It is also concluded that current state of supply chain management does not offer any methods to address this link between order quantities and lead times and that therefore further research is warranted.

Original languageEnglish
Title of host publicationIntelligent Decision Technologies 2016 : Proceedings of the 8th KES International Conference on Intelligent Decision Technologies (KES-IDT 2016) – Part I
EditorsIreneusz Czarnowski, Alfonso Mateos Caballero, Robert J. Howlett, Lakhmi C. Jain
Number of pages11
PublisherSpringer
Publication date2016
Pages15-25
ISBN (Print)978-3-319-39629-3
ISBN (Electronic)978-3-319-39630-9
DOIs
Publication statusPublished - 2016
Event8th KES International Conference on Intelligent Decision Technologies, KES-IDT 2016 - Puerto de la Cruz, Tenerife, Spain
Duration: 15 Jun 201617 Jun 2016

Conference

Conference8th KES International Conference on Intelligent Decision Technologies, KES-IDT 2016
Country/TerritorySpain
CityPuerto de la Cruz, Tenerife
Period15/06/201617/06/2016
SeriesSmart Innovation, Systems and Technologies
Volume56
ISSN2190-3018

Keywords

  • Bullwhip effect
  • Lead times
  • Stochastics
  • Supply chain management

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