CFP last date
20 May 2024
Reseach Article

Applying Tarantula Mating based Routing Strategy on Manufacturing Network

Published on September 2015 by Susmita Bandyopadhyay
International Conference on Emergent Trends in Computing and Communication
Foundation of Computer Science USA
ETCC2015 - Number 2
September 2015
Authors: Susmita Bandyopadhyay
c1f22a2a-0bbf-40c7-ba56-7d3e59b0a602

Susmita Bandyopadhyay . Applying Tarantula Mating based Routing Strategy on Manufacturing Network. International Conference on Emergent Trends in Computing and Communication. ETCC2015, 2 (September 2015), 5-10.

@article{
author = { Susmita Bandyopadhyay },
title = { Applying Tarantula Mating based Routing Strategy on Manufacturing Network },
journal = { International Conference on Emergent Trends in Computing and Communication },
issue_date = { September 2015 },
volume = { ETCC2015 },
number = { 2 },
month = { September },
year = { 2015 },
issn = 0975-8887,
pages = { 5-10 },
numpages = 6,
url = { /proceedings/etcc2015/number2/22336-4561/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Emergent Trends in Computing and Communication
%A Susmita Bandyopadhyay
%T Applying Tarantula Mating based Routing Strategy on Manufacturing Network
%J International Conference on Emergent Trends in Computing and Communication
%@ 0975-8887
%V ETCC2015
%N 2
%P 5-10
%D 2015
%I International Journal of Computer Applications
Abstract

This paper applies a routing strategy based on Tarantula Mating Behavior as proposed by the authors, Bandyopadhyay and Bhattacharya [1], on a manufacturing network. The particular behavior which is of interest is that the female Tarantula spider sometimes eats the male Tarantula just after mating for satisfying immediate need for food or for genetic purpose. This interesting behavior has been simulated with the help of a hierarchical multi-agent based framework where the master agent at the top of the hierarchy takes the final decision with the help of PROMETHEE multi-criteria decision analysis technique, based on the data for various criteria as delivered by the worker agents at the leaf level of the hierarchy. Fuzzy orientation has been added to the measurement for one of the criteria and in the calculation of PROMETHEE decision analysis technique. The strategy has been applied successfully on a manufacturing network.

References
  1. Bandyopadhyay, S. , Bhattacharya, R. 2015 Finding optimum neighbor for routing based on multi-criteria, multi-agent and fuzzy approach. Journal of Intelligent Manufacturing 26(1), 25-42.
  2. Wooldridge, M. , Jennings, N. R. , and Kinny, D. 2000 The Gaia methodology for agent-oriented analysis and design. Autonomous Agents and Multi-Agent Systems 3(3), 285–312.
  3. Coleman, D. , Arnold, P. , Bodoff, S. C. , Dollin Gilchrist, H. , Hayes, F. , and Jeremaes, P. 1994 Object-Oriented Development: The FUSION Method. Prentice Hall International, Hemel Hempstead, England.
  4. Jennings, N. R. , Faratin, P. , Johnson, M. J. , Norman, T. J. , O'Brien, P. , and Wiegand, M. E Wiegand 1996 Agent-based business process management. International Journal of Cooperative Information Systems 5(2-3), 105–130.
  5. Jennings, N. R. 1997 Using ARCHON to develop real-world DAI applications. IEEE Expert 11(6), 64–70.
  6. Juan, T. , Pearce, A. , and Sterling, L. 2002 ROADMAP: extending the Gaia methodology for complex open systems. In M. Gini, T. Ishida, C. Castelfranchi, W. L. Johnson (Eds. ), Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS'02), ACM Press, pp. 3–10.
  7. Padgham, L. , and Winikoff, M. 2004 Developing Intelligent Agent Systems - A Practical Guide. John Wiley & Sons, ISBN 0-470-86120-7.
  8. Bresciani, P. , Giorgin,i P. , Giunchiglia, F. , Mylopoulos, J. , and Perini, A. 2004 Tropos: An agent-oriented software development methodology. Journal of Autonomous Agents and Software Development Methodologies 8, 203–236.
  9. Burrafato, P. , and Cossentino, M. 2002 Designing a multi-agent solution for a bookstore with the PASSI methodology. In Proceedings of the Fourth International Bi-Conference Workshop on Agent-Oriented Information Systems (AOIS-2002), Toronto.
  10. Holmgren, J. , Davidsson, P. , Persson, J. A. , and Ramstedt, L. 2012 TAPAS: A multi-agent-based model for simulation of transport chains. Simulation Modelling Practice and Theory 23, 1–18.
  11. Brussel, H. V. , Wyns, J. , Valckenaers, P. , and Bongaerts, L. 1998 Reference architecture for holonic manufacturing systems: PROSA. Computers in Industry 37(3), 255-274.
  12. Leita˜o, P. , Colombo, A. , and Restivo, F. 2005 ADACOR: a collaborative production automation and control architecture. IEEE Intelligent Systems 20(1), 58–66.
  13. Chirn, J. , and McFarlane, D. 2000 A component-based approach to the holonic control of a robot assembly cell. In Proceedings of the IEEE 17th International Conference on Robotics and Automation, ICRA, 2000.
  14. Saaty, T. L. 1980 The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York, USA.
  15. Saaty, T. L. 1994 Fundamentals of Decision Making and Priority Theory: With the Analytic Hierarchy Process. RWS Publications, Pittsburgh, USA.
  16. Edwards, W. , and Barron, F. H. 1994 SMARTS and SMARTER: improved simple methods for multiattribute utility measurement. Organizational Behavior and Human Decision Processes 3, 306–325.
  17. Roy, B. 1990 The outranking approach and the foundations of ELECTRE methods. In Bana e Costa, C. A. (Ed. ), Readings in Multiple Criteria Decision Aid. Springer-Verlag, Berlin, German, pp. 155–183.
  18. Roy, B. 1991 The outranking approach and the foundation of ELECTRE methods. Theory and Decision 31, 49–73.
  19. Roy, B. 1993 Decision science or decision-aid science?. European Journal of Operational Research 2, 184–203.
  20. Roy, B. 1996 Multicriteria Methodology for Decision Aiding, Kluwer Academic Publishers, Dordrecht, Holland.
  21. Brans, J. P. , and Vincke, Ph. 1985 PROMETHEE. A new family of outranking methods in MCDM. Management Science 6, 647–656.
  22. Brans, J. P. , Vincke, Ph. , and Mareschal, B. 1986 How to select and how to rank projects: the Promethee method. European Journal of Operational Research 2, 228–238.
  23. Munda, G. 1995 Multicriteria Evaluation in a Fuzzy Environment—Theory and Applications in Ecological Economics, Physica-Verlag, Heidelberg, Germany.
  24. Munda, G. , Nijkamp, P. , and Rietvald, P. 1994 Qualitative multicriteria evaluation for environmental management. Ecological Economics 10, 97–112.
  25. Deng, Y. , Chen, Y. , Zhang, Y. , & Mahadevan, S. 2012 Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment. Applied Soft Computing 12(3), 1231–1237.
Index Terms

Computer Science
Information Sciences

Keywords

Tarantula Mating Behavior Routing Strategy Hierarchical Multi-agent System Multi-criteria Decision Analysis Technique Manufacturing Network