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

P. Parvathi; S. Gajalakshmi

Research 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 - Issue 13

Published: May 2013

Authors: P. Parvathi, S. Gajalakshmi

10.5120/12021-8023

PDF

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 },
                        year    = { 2013 },
                        volume  = { 70 },
                        number  = { 13 },
                        pages   = { 15-23 },
                        doi     = { 10.5120/12021-8023 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2013
                        %A P. Parvathi
                        %A S. Gajalakshmi
                        %T An Inventory Model for Solving Two Stage Supply Chain using Fuzzy Costs with Shortage%T 
                        %J International Journal of Computer Applications
                        %V 70
                        %N 13
                        %P 15-23
                        %R 10.5120/12021-8023
                        %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

Inventory systems by Eliezer Naddor
Fuzzy sets and logics by Zadeh
Goyal, S. K. , 1976. An integrated inventory model for a single supplier-single customer problem. International journal of Production Research 15(1), 107-111.
Goyal, S. K. , 1988. A joint economic-lotsize model for purchaser and vendor; a comment Decision science 19, 236-241.
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.
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.
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.
A. Nagoor Gani, G. Sabarinathan. , 2012. A new method for solving two stage supply chain fuzzy inventory problem. , applied mathematical sciences,60, 2963-2978
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.
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

No index terms available.

Keywords

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