Skip to main navigation Skip to search Skip to main content

Economic order quantity estimation with uncertain external information on product demand quantile

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

In this chapter, a more accurate method for estimating economic order quantity (EOQ) is suggested. This method improves accuracy by using uncertain external additional information about market demand. External additional information can be available in form of summary statistics (sample means, sample quantiles) and their uncertainty measures (confidence intervals, widths of confidence intervals, standard errors, sample variances, or sample standard deviations). Annual demand was estimated by average sales and improved with the use of uncertain quantile information. It is shown that uncertain additional information can reduce variance of the estimator. This new approach is illustrated using sales data of midsize retail company.

Original languageEnglish
Title of host publicationTransport and Logistics Planning and Optimization
Pages198-210
Number of pages13
ISBN (Electronic)9781668484760
DOIs
StatePublished - Jul 10 2023

Bibliographical note

Publisher Copyright:
© 2023, IGI Global. All rights reserved.

ASJC Scopus subject areas

  • General Economics, Econometrics and Finance
  • General Business, Management and Accounting
  • General Social Sciences

Fingerprint

Dive into the research topics of 'Economic order quantity estimation with uncertain external information on product demand quantile'. Together they form a unique fingerprint.

Cite this