Holonic Production System to Obtain Flexibility for Customer Satisfaction

Gandolfo Dominici

University of Palermo.

DOI: 10.4236/jssm.2008.13027                

Abstract

The Holonic Production System (HPS) can be a valid choice to overcome the problems of traditional production sys-tems’ architectures, thanks to its capability to adapt and react to changes in the business environment whilst being able to maintain systemic synergies and coordination. The HPS is made of holons seen as functional production units which are simultaneously autonomous and cooperative. Although the holonic approach could represent a valid solution in order to pursue the necessary levels of agility of production systems, they have been scarcely implemented in practice and even less studied from a business studies perspective. The purpose of this discussion paper is to show the benefits of further research on cases of implementation of HPS from a business organization studies perspective. Very little re-search on this topic has been done outside the field of business engineering and computer science; the study of this topic from a different perspective can shed the light on new aspects and new applications of the theory.

Keywords

holonic production systems, production agility, customer satisfaction

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	M. McLuhan and B. Nevitt, “Take today: The executive as dropout. B. J. Harcourt, 1972.
[2]	A. Toffler, “The third wave,” Bantam, 1980.
[3]	D. M. Dilts, N. P. Boyd, and H. H. Whorms, “The evolution of control architectures for automated manufacturing sys-tems," Journal of Manufacturing Systems 10(1), pp. 79-93, 1991.
[4]	T. J. Crowe and E. J. Stahlman, “A proposed structure for distributed shopfloor control,” Integrated Manufacturing Systems 6 (6), pp. 31-36, 1995.
[5]	R. Blackwell and K. D. Blackwell, “The century of the consumer: Converting supply chains into demand chains,” Supply Chain Management Review, pp. 22-32, 1999.
[6]	F. Frederix, “From production to a product perspective,” New Industrial Scenario, In Yoon S. et all. Evolution of Supply Chain Management, Symbiosis of Adaptive Value Networks and ICT, Kluwer Academic Publishers, Nor-well, 2004.
[7]	L. Gou, P. B. Luh, and Y. Kyoya, “Holonic manufactur-ing scheduling: Architecture, cooperation mechanism, and implementation,” Computers in Industry, 37 (3), pp. 213-231, 1998.
[8]	J. Hatvany, “Intelligence and cooperation in heterarchic manufacturing systems,” Robotics & Computer-Integrated Manufacturing, 2 (2), pp. 101-104, 1985.
[9]	H. V. Brussel, L. Bongaerts, J. Wyns, P. Valckenaers, and T. V. Ginderachter, “A conceptual framework for Holonic manufacturing: Identification of manufacturing holons,” Journal of Manufacturing Systems, 18 (1), pp. 35-52, 1999.
[10]	P. Valckenaers, E. Bonneville, H. V. Brussel, L. Bon-gaerts, and J. Wyns, “Results of the holonic control sys-tem benchmark at the kuleven,” Proceedings of CIMAT, pp. 128-133, 1994.
[11]	T. Moyaux, B. Chaib-draa, and S. D’Amours, “Supply chain management and multiagent systems: An over-view,” In B. Chaib-draa, J. P. Müller (editor), Multiagent based Supply Chain Management. Springer, 2006.
[12]	M. Paoloucci and R. Sacile, “Agent-based manufacturing and control systems,” CRC Press, 2005.
[13]	G. M. Golinelli, L’approccio sistemico al governo dell’ impresa-L’impresa sistema vitale Vol. 1. CEDAM, Italy, 2000.
[14]	A. Koestler, “The ghost in the machine,” Arkana, 1967.
[15]	M. Mesarovic, D. Macko, and Y. Takahara, “Theory of hierarchical, multi-level systems,” Academic Press, 1970.
[16]	P. Mella, “La Rivoluzione Olonica: Oloni, olarchie e reti oloniche,” Il fantasma del kosmos produttivo, FrancoAngeli, Italy, 2005.
[17]	C. Saccani, “Il Sistema Olonico,” Sistemi&Impresa, 2, pp. 29-45,1996.
[18]	M. A. Arbib, “The handbook of brain theory and neural networks,” MIT Press, Boston, 1995.
[19]	M. Ulieru and M. Cobzaru, “Building holonic supply chain management systems: An e-logistics application for the telephone manufacturing industry, IEEE Transactions on Industrial Informatics 1 (1), pp. 18-30, 2005.
[20]	G. Dominici, “Il contesto istituzionale nipponico e l’evoluzione della “lean production,” Aracne, Roma, Italy, 2007.
[21]	W. Shen, “Distributed manufacturing scheduling using intelligent agents,” IEEE Intelligent Systems, pp. 88, 2002.
[22]	N. R. Jennings and S. Bussmann, “Agent-based control systems,” Why are they suited to engineering complex systems?. IEEE Control Systems Magazine, 61, 2003.