Analysis of single-period inventory models with discrete demand under fuzzy environment

Hülya Behret, Cengiz Kahraman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes single period inventory models with discrete demand under fuzzy environment. In the proposed models inventory costs, demand and both inventory costs and demand are considered as imprecise, respectively. The objective of the models is finding the product’s optimum order quantity that minimizes the expected total cost.

Original languageEnglish
Title of host publicationComputational Intelligence Foundations and Applications - Proceedings of the 9th International FLINS Conference, FLINS 2010
EditorsDa Ruan, Etienne E. Kerre, Da Ruan, Guoqing Chen, Tianrui Li, Yang Xu
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages445-450
Number of pages6
ISBN (Electronic)9814324698, 9789814324694
DOIs
Publication statusPublished - 2010
EventComputational Intelligence Foundations and Applications - 9th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2010 - Emei, Chengdu, China
Duration: 2 Aug 20104 Aug 2010

Publication series

NameComputational Intelligence Foundations and Applications - Proceedings of the 9th International FLINS Conference, FLINS 2010

Conference

ConferenceComputational Intelligence Foundations and Applications - 9th International Fuzzy Logic and Intelligent Technologies in Nuclear Science Conference, FLINS 2010
Country/TerritoryChina
CityEmei, Chengdu
Period2/08/104/08/10

Bibliographical note

Publisher Copyright:
© 2010 by World Scientific Publishing Co. Pte. Ltd.

Fingerprint

Dive into the research topics of 'Analysis of single-period inventory models with discrete demand under fuzzy environment'. Together they form a unique fingerprint.

Cite this