Skip to main content
SpringerLink
Log in

A system of models contribution to production network (PN) theory

  • Published:
Journal of Intelligent Manufacturing Aims and scope Submit manuscript

Abstract

In Production Networks’ (PN) planning and control, innovative concepts and solutions may result from exploiting network properties. Simultaneous application of selected interrelated models, representing a system models, may generate very efficient solution procedures for PN planning and control as pointed out for several problem types. Such Model systems may be interpreted as part of a theory conjecture for PN, based on a topological core. All models appear as embedded structures of network units and connections, carrying fold/unfold properties of graphs and systems. Interoperability requirements induce standardizations for the models. The proposed theory approach intends to provide solution approaches for PN problems.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Antoniac P., Pallot M., Pulli P. (2006). Virtual and augmented reality supporting group consciousness within collaborative working environments. In: Weber F. et al. (eds). Proceedings of the 12th international conference on concurrent enterprising. Milan, Italy, University of Nottingham, pp. 213–220

    Google Scholar 

  • Ashayeri, J., & Kampstra, R. (2005). Realities of supply chain collaborations. In EUROMA conference proceedings, Budapest, pp. 339–348.

  • Baker A., Parunak H., Erol K. (1999). Agents and the internet – infrastructure for mass costumisation. IEEE, Internet Computing, 3(5), 62–69

    Google Scholar 

  • Baratt M., Olivera A. (2001). Exploring the experiences of collaborative planning initiatives. International Journal of Physical Distribution and Logistics Management, 31(4): 266–289

    Article  Google Scholar 

  • Barbasi A.-L. (2002). Linked. The new science of networks. Cambridge, MA, Perseus Books group

    Google Scholar 

  • Barbasi A.-L. (2005). Network theory—the emergence of the creative enterprise. Science, 308, 639–641

    Article  Google Scholar 

  • Barber, S., White, E., Goel, A., Han, D., Kim, J., Li, H., Liu, T., Martin, C., & McKay, R. (1998). Sensible agent problem-solving simulation for manufacturing environments. In Proceedings of the AI & manufacturing research planning workshop (pp. 1–9). Albuquerque, USA: The AAAI Press.

  • Barlett C.A., Goshal S. (2000). Transnational management (3rd ed.). Boston, Mc. Graw Hill

    Google Scholar 

  • Barney J.B. (2001). Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view. Journal of Management, 27, 643–650

    Article  Google Scholar 

  • Bennett, D., & Dekkers, R. (2005). Industrial networks of the future – a critical commentary on research and practice. In Proceedings of the 12th international EurOMA conference on operational and global Competitiveness, Budapest, pp. 677–686.

  • Boto von Querenburg (1979). Mengentheoretische topologie. Heidelberg.

  • Bratoukhine, A., Sauter, T., Peschke, J., Lüder, A., & Klostermeyer, A. (2003). Distributed automation: PABADIS vs. HMS. In Proceedings of the 1st IEEE conference on industrial informatics, INDIN 03, Banff, Canada, September 2003, pp. 294–300.

  • Budenske, J., Ahamad, A., & Chartier, E. (1998). Agent-based architecture for exchanging modeling data between applications. Working notes of the agent-based manufacturing workshop, Minneapolis.

  • Camarinha-Matos L.M., Afsarmanesh H. (2005). Collaborative networks: A new scientific discipline. Journal of Intelligent Manufacturing, 16, 439–452

    Article  Google Scholar 

  • Chan F.T.S., Qi H.J. (2003). Feasibility of performance measurement for supply chain: A process based approach and measures. Integrated Mfg Systems, 14(3): 179–190

    Article  Google Scholar 

  • Christopher M., Towill D.R. (2001). An integrated model for the design of agile supply chains. International Journal of Physical distribution and Operations Management, 31, 235–244

    Google Scholar 

  • Cooper, R., Evans, S., Gregory, S., & O’Brien, C. (2006). Design-make-serve, delivering products and services to the modern world. Discussion document for the UK manufacturing professors forum, July 2006, London.

  • Deen S.M. (2003). Agent based manufacturing – Advances in the holonic approach. Advanced information processing. Berlin, Springer Verlag

    Google Scholar 

  • Dekkers, R., Sauer, A., Schönung, M., & Schuh, G. (2004). Collaborations as complex systems. In Proceedings of the IMNet 2004 9th annual Cambridge international manufacturing symposium, pp. 60–77.

  • Dooley K. (1996). A nominal definition of complex adaptive systems. The Chaos Network, 8(1): 2–3

    Google Scholar 

  • Dyer J.H., Singh H. (1998). The relational view: Cooperative strategy and sources of interorganizational competitive advantage. Academy of Management Review, 23(4): 660–679

    Article  Google Scholar 

  • e-Volution II. (2004). Road map for e-business implementation in extended enterprises G1RD-CT-2002–00698, from http://www.e-vol.net/public/index.cfm.

  • Fliedner G. (2003). CPFR: An emerging supply chain tool. Industrial Management & Industrial Systems, 103(1): 14–21

    Article  Google Scholar 

  • Garicano L. (2000). Hierarchies and the organization of knowledge in production. Journal of Political Economy, 108, 874–904

    Article  Google Scholar 

  • Gunasekaran A., Yusuf Y.Y. (2002). Agile manufacturing, a taxonomy of strategic and technological imperatives. International Journal of Production Research, 40(6), 1357–1385

    Google Scholar 

  • Haken, H. (1983). Advanced synergetics. London Springer.

  • Helfat C.E., Peteraf M.A. (2003). The dynamic resource-based view: Capability lifecycles. Strategic Management Journal, 24, 997–1010

    Article  Google Scholar 

  • Howard, M., Miemcyk, J., Stone, G., & Graves, A. (2006). Coping with collaborative ICT ventures: Implementing the responsive automotive supply network. In EUROMA conference proc Glasgow, pp. 985–994.

  • Jennings N., Wooldridge M. (1998). Agent technology – foundations, applications, and markets. Berlin, Springer Verlag

    Google Scholar 

  • Kaplan, R. S., & Atkinson, A. A. (1997). Advanced management accounting. Prentice Hall.

  • Katzy, B. R., & Ma, X. F. (2002). Virtual professional community. In 8th international conference on concurrent enterprising. Rome.

  • Kelly, K. (1998). New rules for the new economy: 10 ways the network economy is changing everything. London Fourth Estate.

  • Klir, G. J. (1969). An approach to general systems theory. New York Van Nostrand.

  • Klostermeyer, A. (2002). Agentengestützte Navigation wandlungsfähiger Produktionssysteme. PhD Thesis, University of Magdeburg.

  • Klostermeyer, A., & Klemm, E. (2005). Multi agent based architecture for plant automation. In R. Zurawski (Ed.), The industrial information technology handbook. CRC Press, Industrial Electronics Series, 108/1-108/19.

  • Kosanke, K., & Zellm, M. (2005) Interoperability, the INTEROP Project and Standardisation. In Proceedings of the 11th international conference on concurrent enterprising – integrated engineering of products, services and organisations, Nottingham, pp. 49–51.

  • Kuehnle, H. (2006). A contribution to a production network (PN) theory. In L. M. Camarinha-Matos, H. Afsarmanesh, & M. Ollus (Eds.), IFIP international processing, Vol. 224. Network-centric collaboration and supporting fireworks, Boston.

  • Kuhn T.S. (1962). The structure of scientific revolutions. Chicago, University of Chicago Press

    Google Scholar 

  • Kühnle, H. (2005). Fractal extended enterprise: Framework and examples for multi-party supply chains. In Y. Shuping, C. Xiaohui, & Y. Yu (Eds.), Modern industrial engineering and innovation in enterprise management. IEEM 2005 (Proceedings of the 12th international conference on industrial engineering and engineering management), Chongqing, China, Vol. 1, pp. 211–217.

  • Kühnle, H., Klostermeyer, A., & Lorentz, K. (2001). A paradigm shift to distributed systems in plant automation. In M. Fares Sebaaly (Ed.), Proceedings of the international NAISO. Congress on information science innovations ISI’ 2001, March 17–21, 2001, pp. 463–469.

  • Lee, H. L. (2004). The triple A supply chain. Harvard Business Review, October 2004, 102–112.

  • Lüder, A., & Messerschmidt, R. (2005). Agent based distributed data management for factory control. In Proceedings of the 11th international conference on concurrent enterprising – integrated engineering of products, services and organisations, Nottingham, pp. 443–452.

  • Lüder A., Peschke J., Sauter T., Deter S., Diep D. (2004). Distributed intelligence for plant automation based on multi-agent systems – the PABADIS approach. Special issue on application of multiagent systems to PP&C. Journal of Production Planning and Control, 15(2):201–212

    Article  Google Scholar 

  • Makadok R. (2001). Toward a synthesis of the resource-based and dynamic capability views of rent creation. Strategic Management Journal, 22, 387–401

    Article  Google Scholar 

  • Malik, F. (2000). Strategie des Managements komplexer Systeme: Ein Beitrag zur Management-Kybernetik evolutinärer Systeme. Bern Paul Haupt.

  • Malkoun, M., & Kendall, E. (1997). CLAIMS: Cooperative layered agents for integrating manufacturing systems. In Proceedings of the PAAM’97, London, UK.

  • Mason-Jones R., Naylor B., Towill D.R. (2000). Engineering the leagile supply chain. International Journal of Agile Management Systems, 2(1):54–61

    Article  Google Scholar 

  • Massotte, P. (1995). Evolution des technologies de l‘information et optimation des processus. Habilitation (HDR) Université de Savoie.

  • McFarlane D.C., Bussmann S. (2000). Developments in holonic production planning and control. International Journal of Production Planning and Control, 11(6):522–536

    Article  Google Scholar 

  • McKelvey B. (2004). Simple rules’ for improving corporate IQ: Basic lessons from complexity science. In: Abdriani P., Passiante G. (eds). Complexity theory and the management of networks. Italy, University of Lecce, Imperial College Press, pp. 39–52

    Google Scholar 

  • Mehra, A., & Nissen, M. (1998). Intelligent supply chain agents using ADE. In Proceedings of the AI & manufacturing research planning workshop (pp. 112–119). Albuquerque, USA: The AAAI Press.

  • Nelson R.R., Winter S.G. (2002). Evolutionary theorizing in economics. Journal of Economic Perspectives, 16(2): 23–46

    Article  Google Scholar 

  • Peng, Y., Finin, T., Labrou, Y., Chu, B., Long, J., Tolone, W., & Boughannam, A. (1998). A multi-agent system for enterprise integration. In Proceedings of the PAAM’98, London, UK, pp. 533–548.

  • Probst, G. J. B. (1992). Organisation: Strukturen, Lenkungsinstrumente und Entwicklungsperspektiven. Moderne Industrie.

  • Ross A. (2004). Creating agile supply chain. IEE Manufacturing Engineer, 82(6): 18–21

    Article  Google Scholar 

  • Sauter, T., & Massotte, P. (2001). Enhancement of distributed production systems through software agents. In ETFA 2001, in emerging technologies and factory automation, IEEE international conference of emerging technologies and factory automation, pp. 267–272.

  • Srai, J. S., & Gregory, M. J. (2005). Supply chain capability assessment of global operations. In EUROMA conference proceedings, Budapest.

  • Stacey R.D. (1996). Complexity and creativity in organizations. San Francisco, Berrett-Koehler

    Google Scholar 

  • Teece D.J., Pisano G., Shuen A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7): 509–533

    Article  Google Scholar 

  • Thagard P. (1998). Computational philosophy of science. Cambridge, MA, MIT Press

    Google Scholar 

  • van Brussels H., Wyns J., Valckenaers P., Bongaerts L., Peeters P. (1998). Reference architecture for holonic manufacturing systems. PROSA. Computers in Industry, 37, 255–274

    Article  Google Scholar 

  • van Hezewijk, B., & van Assen, M. (2005). Coordination in chains and networks. In EUROMA conference proceedings, Budapest, pp. 875–886.

  • Watts, D. (2003). Six degrees: The science of a connected age. Norton.

  • Webb C., Wohlfahrt L., Wunram M. Ziv A. (2004). The secrets of the six princilpes: A guide to robust development of organisations. Israel, Innovation Ecology

    Google Scholar 

  • Winter S.G. (2003). Understanding dynamic capabilities. Strategic Management Journal, 24, 991–995

    Article  Google Scholar 

  • Yusuf M.A., Gunasekaran A., Adeleye E.O., Sivayoganathan K. (2004). Agile supply chain capabilities. International Journal of Production Economics, 62, 33–43

    Article  Google Scholar 

  • Zachman J.A.A. (2003). Framework for information systems architecture. IBM Systems Journal, 3, 454–470

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute for Ergonomics, Manufacturing Systems and Automation, Centre for Extended Enterprises CE2, Otto-von-Guericke- University Magdeburg, Universitaetsplatz 2, 39196, Magdeburg, Germany

    Hermann Kuehnle

Authors
  1. Hermann Kuehnle
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hermann Kuehnle.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kuehnle, H. A system of models contribution to production network (PN) theory. J Intell Manuf 18, 543–551 (2007). https://doi.org/10.1007/s10845-007-0062-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10845-007-0062-4

Keywords

Search

Navigation