Continuous Improvement of Manufacturing Systems with the Concept of Functional Periodicity

Abstract:

To compete effectively in the dynamic global marketplace, manufacturing companies have to maintain a high level of responsiveness to remain competitive. This paper presents a theoretic framework for the installation of mechanisms in order to control the effects of the time-dependent combinatorial complexity caused by the uncertainty of maintaining the fulfillment of once defined functional requirements for a manufacturing system. Inspired by the idea of a system that automatically detects, diagnoses, and repairs identified areas of inefficiency, the objective of this research is to find mechanisms that anticipate market or environmentally driven events and help to set up the manufacturing system in advance in order to maximize total system efficiency. The paper builds on previous research about system complexity and on recent findings of a research project conducted in an Italian manufacturing company. Starting from the overall objective of “enhanced survivability” for the company and its manufacturing system, functional system requirements are deducted mapping between functional and system design domain, first on a time-independent basis. With the help of the scenario-technique, time-dependent influence is shown and improvement strategies are developed, using functional periodicity as a trigger point for their release. The first results from practical application show very promising results which will be discussed in the paper.

• Periodical: Key Engineering Materials (Volume 473)
• Pages: 783-790
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.473.783
• Online since: March 2011
• Authors: Dominik T. Matt, Erwin Rauch
• Keywords: Agility, Complexity Theory, Functional Periodicity, Manufacture System

References

[1] H. ElMaraghy, O. Kuzgunkaya and R.J. Urbanic: CIRP Annals - Manufacturing Technology, Vol. 54 No. 1 (2005), pp.445-450.

DOI: 10.1016/s0007-8506(07)60141-3

[2] O. Kuzgunkaya and H. ElMaraghy: International Journal of Flexible Manufacturing Systems, Vol. 18 No. 2 (2006), pp.145-171.

[3] D. Spath, O. Scholz: Industrie Management Vol. 23 No. 2 (2007), p.61–64.

[4] S. Cochran, W. Eversheim, G. Kubin and M.L. Sesterhenn: International Journal of Production Research, Vol. 38 No. 6 (2000), pp.1377-1396.

[5] G. Chryssolouris: Manufacturing Systems: Theory and Practice (Springer, New York 1992).

[6] B. Wu: Manufacturing Systems Design and Analysis (Chapman and Hall, London 1992).

[7] R.H. Hayes and S.C. Wheelwhright: Restoring our competitive Edge: Competing Through Manufacturing (Wiley, New York 1984).

[8] W. Skinner: Harvard Business Rev., Vol. 52, No. 3 (1974), pp.113-121.

[9] A.D. Chandler: Strategy and Structure (MIT Press, Cambridge 1962).

[10] A. Raouf and M. Ben-Daya: Flexible manufacturing systems: resent developments (Elsevier, Amsterdam 1995).

[11] F. Suarez, M. Cusumano and C.H. Fine: Flexibility Performance - A literature critique and strategic framework (Sloan School WP 3298-91-BPS, MIT MA 1991).

[12] M.G. Mehrabi, A.G. Ulsoy and Y. Koren: Intern. Journal of Intelligent Manufacturing, Vol. 11 No. 4 (2000), pp.403-419.

DOI: 10.1023/a:1008930403506

[13] N.P. Suh: Complexity-theory and applications (Oxford Univ. Press, New York 2005).

[14] N.P. Suh: Axiomatic Design: Advances and Applications (Oxford University Press, New York 2001).

[15] A.C. Alves, S. Carmo-Silva: The Romanian Review Precision Mechanics, Optics & Mechatronics, Vol. 19 No. 35 (2009), pp.43-54.

[16] S. C. -Y. Lu and N.P. Suh: CIRP Annals - Manufacturing Technology Vol. 58 No. 1 (2009), p.157–160.

[17] D.T. Matt: Proceedings of the intern. conference on intelligent computation in manufacturing engineering (CIRPICME06), Ischia, Italy (2006), p.373–378.