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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
  1. Inventory systems by Eliezer Naddor
  2. Fuzzy sets and logics by Zadeh
  3. Goyal, S. K. , 1976. An integrated inventory model for a single supplier-single customer problem. International journal of Production Research 15(1), 107-111.
  4. Goyal, S. K. , 1988. A joint economic-lotsize model for purchaser and vendor; a comment Decision science 19, 236-241.
  5. Lau, A. H. L. , Lau, H. S. , 2003. Effects of a demand-curve's shape on the optimal solutions of a multi-echelon inventory/pricing model. European journal of Operational Research 147, 530-548.
  6. Ray. S. Gerchek. Y. , Jewkers. E. M. , 2005. Join pricing and inventory policies for make – to – stock products with deterministic price sensitive demand. International Journal of Production Economics 97, 143-158.
  7. Mohsen S. Sajadieh. , Mohammad R. Akbari Jokar. , 2009. Optimizing shipment, ordering and pricing policies in a two-stage supply chain with price-sensitive demand. Transportation Research Part E 45, 564-571.
  8. A. Nagoor Gani, G. Sabarinathan. , 2012. A new method for solving two stage supply chain fuzzy inventory problem. , applied mathematical sciences,60, 2963-2978
  9. Ouyang, L. , Wu. , K. , Ho, C. , 2004. Integrated vendor buyer co operating models with stochastic demand in controllable lead time International Journal of Production Economics 92, 255-256.
  10. Wu. k. Ouyang, L. , 2003 An integrated single vendor single buyer inventory system with shortage derived algebraically, Production Planning and Control 14(6), 555-561
Index Terms

Computer Science
Information Sciences

Keywords

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