Journal of Intelligent and Robotic Systems

, Volume 33, Issue 3, pp 329–342

On the Measurement of Enterprise Agility



Agility metrics are difficult to define in general, mainly due to the multidimensionality and vagueness of the concept of agility itself. In this paper, a knowledge-based framework is proposed and presented as a candidate solution for the measurement and assessment of manufacturing agility. Given an enterprise, in order to calculate its overall agility, a set of quantitatively defined agility parameters is proposed and grouped into production, market, people and information infrastructures. The combined, resulting, measure incorporates the individual and grouped infrastructure agility parameters and their variations into one calculated value of the overall agility. The necessary expertise used to quantitatively determine and measure individual agility parameters is represented via fuzzy logic terminology that allows for human-like knowledge representation and reasoning. An example demonstrates the feasibility and applicability of the proposed approach.

agility metrics enterprise agility agile manufacturing fuzzy logic 


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  1. 1.
    Cobb, C. K. and Gray, W. H.: Integrating a distributed, agile, virtual enterprise in the TEAM program, in: CALS Expo 96, 1996.Google Scholar
  2. 2.
    DeVor, R., Graves, R., and Mills, J.: Demand activated manufacturing architecture, Technical Report DAMA-1-195, Department of Energy, Version 1.1, February 1995.Google Scholar
  3. 3.
    DeVor, R., Graves, R., and Mills, J.: Agile manufacturing research: Accomplishments and opportunities, IIE Transactions 29(10) (1997), 813–823.Google Scholar
  4. 4.
    Goldman, S. L., Nagel, R. N., and Preiss, K.: Agile Competitors and Virtual Organizations: Strategies for Enriching the Customer, Van Nostrand Reinhold, New York, 1995.Google Scholar
  5. 5.
    Goldman, S. L. and Preiss, K. (eds): 21st Century Manufacturing Enterprise Strategy: An Industry-Led View, Bethlehem, PA, Iacocca Institute at Lehigh University, 1991.Google Scholar
  6. 6.
    Goranson, H. T.:Metrics and models, in: C. J. Petrie, Jr. (ed.), Enterprise Integration Modeling, MIT Press, Cambridge, MA, 1992, pp. 78–84.Google Scholar
  7. 7.
    He, D. W. and Kusiak, A.: Design of assembly systems for modular products, IEEE Trans. Robotics Automat. 13 (1997), 646–655.Google Scholar
  8. 8.
    Kidd, T. P.: Agile Manufacturing: Forging New Frontiers, Addison-Wesley, Reading, MA, 1994.Google Scholar
  9. 9.
    Lefort, L. and Kesavadas, T.: Interactive virtual factory for design of a shopflor using single cluster analysis, in: Proc. of the 1998 IEEE Internat. Conf. on Robotics and Automation, 1998, pp. 266–271.Google Scholar
  10. 10.
    Sanderson, A. C., Graves, R. J., and Millard, D. L.: Multipath agility in electronics manufacturing, in: Proc. of the 1994 IEEE Internat. Conf. on Systems, Man, and Cybernetics, 1994.Google Scholar
  11. 11.
    Sethi, A. and Sethi, S.: Flexibility in manufacturing: A survey, Internat. J. Flexible Manufacturing Systems 2 (1990), 289–328.Google Scholar
  12. 12.
    Tsourveloudis, N. C. and Phillis, Y. A.: Manufacturing flexibility measurement: A fuzzy logic framework, IEEE Trans. Robotics Automat. 14(4) (1998), 513–524.Google Scholar
  13. 13.
    Tsourveloudis, N. C. and Phillis, Y. A.: A measure for manufacturing agility, in: CD-ROM Proc. of the 4th World Automation Congress, ISOMA-9947, Maui, Hawaii, USA, 2000.Google Scholar
  14. 14.
    Zadeh, L. A.: A theory of approximate reasoning, Mach. Intelligence 9 (1979), 149–194.Google Scholar
  15. 15.
    Zimmermann, H.-J.: Fuzzy Set Theory and its Applications, 2nd edn, Kluwer, Dordrecht, The Netherlands, 1991.Google Scholar

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  1. 1.Department of Production Engineering and Management, Laboratory of Intelligent Systems and TechnologyTechnical University of CreteChania, CreteGreece

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