A Multi-Agent Hierarchical Fuzzy Signatures Approach To Optimize A Quality Management System

Hajer Ben Mahmoud*, Raouf Ketata**, Taieb Ben Romdhane***, Samir Ben Ahmed****
* Student Researcher, National Institute of Applied Science and Technology (INSAT), Northern Urban Centres Tunis-Tunisia.
**Assistant Professor, Research unit on Intelligent Control Design and Optimisation of Complex System (ICOS), Northern Urban Centres Tunisia.
***Assistant Professor, National Institute of Applied Science and Technology (INSAT).
****Professor, Research unit on Methods and tools for Complex Computer Systems (MOSIC).
Periodicity:April - June'2010
DOI : https://doi.org/10.26634/jse.4.4.1166

Abstract

This paper proposes a support system for quality management of a company. Moreover, the reproduction of such Quality Management System (QMS) requires both modeling and piloting. For modeling, a Multi-Agent System (MAS) approach using a micro framework between the agents based on the sequence diagram UML (Unified Modeling Language) was proposed. For piloting, the proposed method is the Hierarchical Fuzzy Signatures (HFS) that is one of the best methods adopted for this kind of problems. To validate this developed system, an industrial company which presents a major problem for controlling the quality level of production lines was chosen. The achieved results have shown that HFS concept is effective, efficient and flexible for piloting such model QMS-MAS.

Keywords

Quality Management System, Multi-Agent System, Hierarchical Fuzzy Signatures, UML.

How to Cite this Article?

Hajer Ben Mahmoud, Raouf Ketata, Taieb Ben Romdhane and Samir Ben Ahmed (2010). A Multi-Agent Hierarchical Fuzzy Signatures Approach To Optimize A Quality Management System. i-manager’s Journal on Software Engineering, 4(4),1-10. https://doi.org/10.26634/jse.4.4.1166

References

[1]. Ben Mahmoud, H., Ben Romdhane, T., and Ketata, R. (2009). “A New MAS Based Approach Modeling the QMS Continual Improvement”, IEEE International Conference on Systems, Man, and Cybernetics, Texas, USA.
[2]. Ben Mahmoud, H., Ketata, R., Ben Romdhane, T., and Ben Ahmed, S. (2009). “Modeling Quality Management System: A Multi-Agent Approach”, IEEE International Conference for Internet Technology and Secured Transactions, London, UK.
[3]. Ben Mahmoud, H., Ketata, R., Ben Romdhane, T., and Ben Ahmed, S. (2010). “Multi objective optimization for piloting a Quality Management System: Study case”, IEEE International Conference on System Science and Engineering, Taiwan.
[4]. Berraha, L., Maurisb, G., Haurata, A. and Foulloy, L. (2000). “Global vision and performance indicators for an industrial improvement approach”, Computers in Industries, No.43, pp.211-225.
[5]. Blanc, P., Castagna, P., and Demongodin, I. (2006). “Pilotage multi-agents d'un système de fabrication de vitres de sécurité“, 6ème Conférence Francophone de Modélisation et Simulation, Maroc.
[6]. Booch, G., Rumbaugh, J., and Jacobson, I. (1999). “The Unified Modeling Language User Guide”, Addison- Wesley, Reading, Massachusetts, USA.
[7]. Bouyssou, C., Couturier, F., Boilet, V., Olazabal, L., Pereira, E., Mekong Adiogo, E., Chêne, G., and Rancinan, C. (2008). “Mise en place d'un système de management de la qualité (SMQ) au sein du centre de méthodologie et de gestion (CMG) du centre Inserm U897 pour les essais cliniques promus par l'Agence nationale pour la recherche sur le sida et les hépatites virales (ANRS)“, Revue d'Épidé miologie et de Santé Publique, Vol. 56, No.2, p. 112.
[8]. Brandenburg, H., and Wojtyna, J.P. (2003). “L'approche processus“, Mode d'emploi, Éditions d'Organisation.
[9]. Cliville, V., Berrah, L., and Mauris, G. (2007). “Quantitative expression and aggregation of performance measurements based on the MACBETH multi-criteria method”, International Journal of Production Economics, No.105, pp.171-189.
[10]. Huget, M. P. (2002). “Une application d'Agent UML au Supply Chain Management“, JFIADSMA.
[11]. ISO 9001:2008, “Quality management system- Requirements”, ISO, 2008.
[12]. ISO 9004: 2000, “Quality management systems- Guidelines for performance improvements“, ISO, 2000.
[13]. Koczy, L., Vamos, T., and Biro, G. (1999). “Fuzzy signatures”, In EUROFUSE-SIC'99, pp.210-217.
[14]. Lau, H.C.W., Ho, G.T.S., Chu, K.F., William Ho and Lee, C.K.M. (2009). “Development of an intelligent quality management system using fuzzy association rules”, Expert Systems with Applications, Vol. 36, No.2, pp.1801–1815.
[15]. Lau, H.C.W., Wong, C.W.Y., Ngai, E.W.T., and Hui, I.K. (2003). “Quality management framework for a virtual enterprise network: a multi-agent approach”, Managing Service Quality, Vol. 13, No.4, pp.300-309.
[16]. Mendis, B.S.U. (2008). ”Fuzzy Signatures: Hierarchical Fuzzy Systems and Applications”, thesis submitted in Faculty of Engineering and Information Technology College of Engineering and Computer Science Australian National University, Department of Computer Science, March.
[17]. Mendis, B.S.U., Gedeon, T.D., and Koczy, L.T. (2005). rd “Investigation of aggregation in fuzzy signatures”, 3 International Conference on Computational Intelligence, Robotics and Autonomous Systems, Singapore, pp.1-6.
[18]. Mendis, B.S.U., Gedeon, T.D., and Koczy, L.T. (2006). “Generalized weighted relevance aggregation operators for hierarchical fuzzy signatures”, International Conference on Computational Intelligence for Modeling Control and Automation, Sydney, Australia.
[19]. Mendis, B.S.U., Gedeon, T.D., and Koczy, L.T. (2006). “On the issue of learning weights from observations for fuzzy signatures”, World Automation Congress (WAC), Budapest, Hungary.
[20]. Pour, G. (2006). “Expanding the Possibilities for Enterprise Computing: Multi-Agent Autonomic Architectures”, IEEE Enterprise Distributed Object Computing Conference Workshops.
[21]. Pour, G., and Laad, N. (2006). “Enhancing the Horizons of Mobile Computing with Mobile Agent Components”, IEEE Computer and Information Science, pp. 225-230.
[22]. Russell, S., and Norvig, P. (2003). “Artificial Intelligence: A Modern Approach”, Second Edition.
[23]. Wong, K., Gedeon, T., and Koczy, L. (2004). “Construction of fuzzy signature from data: an example of sars pre-clinical diagnosis system”, IEEE International Conference on Fuzzy Systems, Vol. 3.
[24]. Wong, K., Gedeon, T., Chong, A., and Koczy, L. (2005). “Fuzzy signatures for complex decision model”, Australian Journal of Intelligent Information Processing Systems, pp.193-199.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.