CFP last date
20 May 2024
Reseach Article

Multi-Objective Supply Chain Model through an Ant Colony Optimization Approach

Published on Decmber 2011 by Anamika K. Mittal, Chirag S. Thaker, Gaurav N. Sutaria
International Conference on Computer Communication and Networks CSI-COMNET-2011
Foundation of Computer Science USA
COMNET - Number 1
Decmber 2011
Authors: Anamika K. Mittal, Chirag S. Thaker, Gaurav N. Sutaria
c44515ea-d624-4e14-8118-5518f900e0af

Anamika K. Mittal, Chirag S. Thaker, Gaurav N. Sutaria . Multi-Objective Supply Chain Model through an Ant Colony Optimization Approach. International Conference on Computer Communication and Networks CSI-COMNET-2011. COMNET, 1 (Decmber 2011), 111-116.

@article{
author = { Anamika K. Mittal, Chirag S. Thaker, Gaurav N. Sutaria },
title = { Multi-Objective Supply Chain Model through an Ant Colony Optimization Approach },
journal = { International Conference on Computer Communication and Networks CSI-COMNET-2011 },
issue_date = { Decmber 2011 },
volume = { COMNET },
number = { 1 },
month = { Decmber },
year = { 2011 },
issn = 0975-8887,
pages = { 111-116 },
numpages = 6,
url = { /proceedings/comnet/number1/5433-1021/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computer Communication and Networks CSI-COMNET-2011
%A Anamika K. Mittal
%A Chirag S. Thaker
%A Gaurav N. Sutaria
%T Multi-Objective Supply Chain Model through an Ant Colony Optimization Approach
%J International Conference on Computer Communication and Networks CSI-COMNET-2011
%@ 0975-8887
%V COMNET
%N 1
%P 111-116
%D 2011
%I International Journal of Computer Applications
Abstract

In this paper, we first describe a multi-objective supply chain model and the optimization problem in Supply Chain Management (SCM).It mainly includes measurements of cost, customer service fill rates and delivery flexibility. This model incorporates production and delivery. Then, we present an Ant Colony Optimization (ACO) application to the solution of some multi-objective optimization problems. The control of each sub-system in a supply chain is a complex optimization problem where optimal performance can be achieved using meta-heuristics. We then depict how our approach may be useful for the Multi-Objective supply chain optimization

References
  1. Ruoying Sun, Xingfen Wang, Gang Zhao, “An Ant Colony Optimization Approach to Multi-Objective Supply Chain Model”, Beijing Information Science and Technology University, 2008.
  2. Tehseen Aslam and Amos H.C. Ng, “Multi-Objective Optimization for Supply Chain Management: A Literature Review and New Development”, IEEE
  3. M. Dorigo and L. M. Gambardella, “Ant Colony System: A Cooperating Learning Approach to the Travelling Salesman Problem”, IEEE Trans. Syst, Man, Cybern., 1997, B, Vol.1, No.1, pp.53-66.
  4. T. Stutzle and M. Dorigo, “A Short Convergence Proof for a Class of Ant Colony Optimization Algorithms”, IEEE Transactions on evolutionary computation, 2002, Vol.6, No.4, pp. 358-365.
  5. M. Dorigo, G. Di Caro, and L. M. Gambardella, “Ant algorithms for discrete optimization”, Artificial Life, 1999, 5, 137–172.
  6. Zheng Lin and Lubin Wang, “Agile Partner Selection Based on Meta-heuristic Algorithms”, IEEE International Conference on e-Business Engineering, 2008+
  7. K. Deb, “Multi-Objective Optimization using Evolutionary Algorithms”, John Wiley & Sons Ltd, 2001
  8. Marco Dorigo, Mauro Birattari, and Thomas, “Ant Colony Optimization, Artificial Ants as a Computational Intelligence Technique”, IEEE Computation Intelligence magazine, November 2006
  9. L. M. Gambardella, E. D. Taillard, and M. Dorigo, “Ant colonies for the Quadratic Assignment Problem”, Journal of the Operational Research Society 50, 1999, 167-176.
  10. A. Colorni, M. Dorigo, V. Maniezzo, and M. Trubian, “Ant system for job-shop scheduling”, Belgian Journal of Operations Research, Statistics and Computer Science (JORBEL), 1994, 34, 39-53.
  11. L. M. Gambardella, E. Taillard, G. Agazzi, “MACSVRPTW: Vehicle Routing Problem with Time Windows”, in New Ideas in Optimization, D. Corne, M. Dorigo and F. Glover (eds) , 1999, 63-76, McGraw-Hill, London.
  12. Meixell, M.J., Gargeya, V.B. (2005), "Global supply chain design: a literature review and critique", Transportation Research Part E, Vol. 41 No.6, pp.531-550
  13. Teerapun Saeheaw, Nivit Charoenchai, and Wichai Chattinnawat,” Application of Ant colony optimization for Multi-objective Production Problems”, World Academy of Science, Engineering and Technology 60 2009
Index Terms

Computer Science
Information Sciences

Keywords

Multi-Objective Optimization Multi-Objective Supply Chain model Supply Chain Management Ant Colony Optimization