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Reseach Article

Fuzzy Technique for an Inventory Model with Auto-Correlated Demand

by P. Parvathi, J. Sujatha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 10
Year of Publication: 2013
Authors: P. Parvathi, J. Sujatha
10.5120/13148-0567

P. Parvathi, J. Sujatha . Fuzzy Technique for an Inventory Model with Auto-Correlated Demand. International Journal of Computer Applications. 75, 10 ( August 2013), 24-29. DOI=10.5120/13148-0567

@article{ 10.5120/13148-0567,
author = { P. Parvathi, J. Sujatha },
title = { Fuzzy Technique for an Inventory Model with Auto-Correlated Demand },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 10 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number10/13148-0567/ },
doi = { 10.5120/13148-0567 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:55.999012+05:30
%A P. Parvathi
%A J. Sujatha
%T Fuzzy Technique for an Inventory Model with Auto-Correlated Demand
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 10
%P 24-29
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It is commonly observed that the demand rates of many consumer goods are auto correlated and are dependent on the price and inventory amount. It is believed that the distribution of demand is independent from time to time. But in real life the demand of goods is auto-correlated. The effects of dependency and auto- correlated demand are studied under a periodic review model. An adaptive order-up-to policy based on the critical fractile is presented and a solution procedure is given. Finally we solve the model by general fuzzy technique. The results and comparative discussions are illustrated numerically.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy inventory model fuzzy number auto-correlated demand pricing tactics Initial net inventory level