An enhanced cycle counting approach utilising historical inventory data

Luc Wijffels, Vaggelis Giannikas, Philip Woodall, Duncan McFarlane, Wenrong Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Inventory record inaccuracies are an issue in both retail and warehousing and can lead to considerable costs due to stock-outs and excess inventory. In order to ensure that inventory record inaccuracies are minimised, warehousing organisations conduct inventory checks on items in the warehouse to identify and then rectify misalignments between the data records and the actual physical items. The challenge is that inventory checks are extremely time-consuming activities, especially when all items need to be checked. In order to reduce this effort, cycle counting methods can be employed which check only a sample of the items. In this paper we propose a new cycle counting method which aims to identify inaccurate items using historical inventory checking data. The method aims to discover correlations between various properties of the items (e.g. storage location, frequency of movement etc.) and inaccuracies. These correlations can then be used to identify which items are most likely to be inaccurate so inventory checking can focus on those items. The approach is evaluated based on actual data from warehousing companies.
Original languageEnglish
Title of host publicationMIM 2016: 8th IFAC Conference on Manufacturing Modelling, Management and Control
Place of PublicationTroyes, France
Pages1347-1352
Number of pages6
Volume49
DOIs
Publication statusPublished - 2016

Fingerprint Dive into the research topics of 'An enhanced cycle counting approach utilising historical inventory data'. Together they form a unique fingerprint.

  • Cite this

    Wijffels, L., Giannikas, V., Woodall, P., McFarlane, D., & Lu, W. (2016). An enhanced cycle counting approach utilising historical inventory data. In MIM 2016: 8th IFAC Conference on Manufacturing Modelling, Management and Control (Vol. 49, pp. 1347-1352). https://doi.org/10.1016/j.ifacol.2016.07.748