FUZZY EOQ MODEL FOR DETERIORATING ITEMS WITH HYPERBOLIC INVERSE MEMBERSHIP FUNCTION

H.P. UMAP1*
1Department of Statistics, Y. C. Institute of Science, Satara, M.S., India
* Corresponding Author : umaphemant@gmail.com

Received : 20-10-2015     Accepted : 29-10-2015     Published : 15-11-2015
Volume : 7     Issue : 2       Pages : 299 - 302
Adv Comput Res 7.2 (2015):299-302

Keywords : Fuzzy inventory, Crisp model, Hyperbolic Inverse membership function.
Academic Editor : Dr V R Lakshmi Gorty, Dr Miin-shen Yang, Dr Kim Ho Yeap, Dr S R Kannan, Dr Orlom Maxim Yurevich, Dr Tanweer Alam, Vijayaragavan S, Dr Chetankumar Ravjibhai Dudhagara, Dr Kirtiwant Parshuram Ghadle, Dr M. Syyed, Dr Al Emran Ismail, Dr Ashwani Mishra
Conflict of Interest : None declared
Acknowledgements/Funding : None declared

Cite - MLA : UMAP, H.P. "FUZZY EOQ MODEL FOR DETERIORATING ITEMS WITH HYPERBOLIC INVERSE MEMBERSHIP FUNCTION." Advances in Computational Research 7.2 (2015):299-302.

Cite - APA : UMAP, H.P. (2015). FUZZY EOQ MODEL FOR DETERIORATING ITEMS WITH HYPERBOLIC INVERSE MEMBERSHIP FUNCTION. Advances in Computational Research, 7 (2), 299-302.

Cite - Chicago : UMAP, H.P. "FUZZY EOQ MODEL FOR DETERIORATING ITEMS WITH HYPERBOLIC INVERSE MEMBERSHIP FUNCTION." Advances in Computational Research 7, no. 2 (2015):299-302.

Copyright : © 2015, H.P. UMAP, Published by Bioinfo Publications. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Abstract

A multi item EOQ model for deteriorating items is developed in fuzzy environment. Inventory costs, profit, deteriorating rate and investment constraints are considered to be vague and imprecise in nature. The vagueness of holding cost and set up cost is represented by Hyperbolic Inverse membership function and other fuzzy parameters are represented by linear membership function. The model has been solved by fuzzy non linear programming method. Results have been presented along with crisp model.