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Reseach Article

Designing and Managing the Supply Chain using Fuzzy Logic Approach

Published on November 2012 by Jugendra Dongre, G L Prajapati, S. V. Tokekar
Issues and Challenges in Networking, Intelligence and Computing Technologies
Foundation of Computer Science USA
ICNICT - Number 5
November 2012
Authors: Jugendra Dongre, G L Prajapati, S. V. Tokekar
60e07866-66a1-4a50-8206-f252ef1fb02e

Jugendra Dongre, G L Prajapati, S. V. Tokekar . Designing and Managing the Supply Chain using Fuzzy Logic Approach. Issues and Challenges in Networking, Intelligence and Computing Technologies. ICNICT, 5 (November 2012), 4-7.

@article{
author = { Jugendra Dongre, G L Prajapati, S. V. Tokekar },
title = { Designing and Managing the Supply Chain using Fuzzy Logic Approach },
journal = { Issues and Challenges in Networking, Intelligence and Computing Technologies },
issue_date = { November 2012 },
volume = { ICNICT },
number = { 5 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 4-7 },
numpages = 4,
url = { /specialissues/icnict/number5/9441-1009/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Issues and Challenges in Networking, Intelligence and Computing Technologies
%A Jugendra Dongre
%A G L Prajapati
%A S. V. Tokekar
%T Designing and Managing the Supply Chain using Fuzzy Logic Approach
%J Issues and Challenges in Networking, Intelligence and Computing Technologies
%@ 0975-8887
%V ICNICT
%N 5
%P 4-7
%D 2012
%I International Journal of Computer Applications
Abstract

In broad sense the Supply Chain Management is concern in optimizing customer service level requirements along with optimizing the cost of steps involved in it. In this paper, we use fuzzy if - else constructs for deriving customer satisfaction and cutting the costs for increasing the supply chain management efficiency. The proposed scheme provides managerial insights on the impact of the decision making in all the Supply Chain elements including suppliers, manufacturers, warehouses, transporters, retailers, and customers. In particular, we focus on the way in which our agent purchases components using a mixed procurement strategy (combining long and short term planning) and how it sets its prices according to the prevailing market conditions.

References
  1. J. Collins, R. Arunachalam, et al. , "The Supply Chain Management Game for the 2005 Trading Agent Competi-tion," Technical Report CMU-ISRI-04-139, School of Computer Science, Carnegie Mellon University, Pitts-burgh, December 2004.
  2. K. Kumar, "Technology for Supporting Supply-Chain Management," Communications of the ACM, Vol. 44, No. 6, pp. 58-61, 2001.
  3. S. D. Levi, P. Kaminsky and S. E. Levi, "Designing and Managing the Supply Chain," McGraw-Hill, Illinois, 2000.
  4. M. He, H. F. Leung and N. R. Jennings, "An ARTMAP Based Bidding Strategy for Autonomous Agents in Con-tinuous Double Auctions," IEEE Transactions on Knowledge and Data Engineering, Vol. 15, No. 6, 2003, pp. 1345-1363.
  5. Timothy J. Rose, "FUZZY LOGIC WITH ENGINEERING APPLICATIONS, Mc – Graw Hill. Inc, Newyork, 1997.
  6. http://www. aptronix. com.
  7. adapted from web search Wikipedia 01/31/2011
Index Terms

Computer Science
Information Sciences

Keywords

Supply Chain Management Fuzzy Logic Fuzzy Association Rules Linguistic Terms