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Reseach Article

An Inventory Model for Solving Two Stage Supply Chain using Fuzzy Costs with Shortage

by P. Parvathi, S. Gajalakshmi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 13
Year of Publication: 2013
Authors: P. Parvathi, S. Gajalakshmi
10.5120/12021-8023

P. Parvathi, S. Gajalakshmi . An Inventory Model for Solving Two Stage Supply Chain using Fuzzy Costs with Shortage. International Journal of Computer Applications. 70, 13 ( May 2013), 15-23. DOI=10.5120/12021-8023

@article{ 10.5120/12021-8023,
author = { P. Parvathi, S. Gajalakshmi },
title = { An Inventory Model for Solving Two Stage Supply Chain using Fuzzy Costs with Shortage },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 13 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 15-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number13/12021-8023/ },
doi = { 10.5120/12021-8023 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:32:45.420641+05:30
%A P. Parvathi
%A S. Gajalakshmi
%T An Inventory Model for Solving Two Stage Supply Chain using Fuzzy Costs with Shortage
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 13
%P 15-23
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A fuzzy inventory model is proposed to maximize the profit in a two stage supply chain model. In this paper joint total profit of both buyer and vendor are calculated. Shortage for the buyer is allowed and it is completely backlogged. Number of shipments, selling price and order quantity are taken as decision variables. Graded mean integration representation method is applied for defuzzification. Sensitivity analysis is carried out using the numerical example.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Linear demand vendor – buyer co-ordination fuzzy numbers and fuzzy concepts