The Manufacturing Adaptability Scorecard - a tool to analyze the benefit of autonomous production processes

  • Corinna Fohrholz
  • Norbert Gronau
Conference paper


The Balanced Scorecard, developed by Kaplan and Norton [1], is a reliable and now often used instrument of strategic management. While a huge number of applications can be found in business administration and financial management,only a few BSCs exist in manufacturing realms. While the need for adaptability is obvious for most manufacturing companies, it remains difficult to hold a clear and steady course to an increased status of manufacturing adaptability. In this paper we present a BSC approach suitable to foster manufacturing adaptability. For the validation, a hybrid simulation environment and different case studies will be used.


Adaptability Autonomous Technology Value 


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  1. [1]
    Kaplan, R. S.; Norton, D. P. (1996): The balanced scorecard: translating strategy into action, Mcgraw-Hill Publ.Comp.Google Scholar
  2. [2]
    Silk, S. (1998): Automating the balanced scorecard, in: Management Accounting Vol. 79, No. 11, pp. 38-42.Google Scholar
  3. [3]
    Gomes, C. F.; Yasin, M. M.; Lisboa, J. V. (2004): A literature review of manufacturing performance measures and measurement in an organizational context: a framework and direction of future research, in: Journal of Manufacturing Technology Management, Vol. 15, No. 6, pp. 511-530.CrossRefGoogle Scholar
  4. [4]
    Parmenter, D. (2010): Key Performance Indicators (KPI): Developing, Implementing, and Using Winning KPIs, John Wiley and Sons, 2nd Edition, New Jersey.Google Scholar
  5. [5]
    Nofen, D., Klußmann, J. (2002): Adaptability through modular factory structures (in German), Industrie Management, Vol. 18, No. 3, pp. 49-52.Google Scholar
  6. [6]
    Balve, P., Wiendahl, H., H., Westkämper, E. (2001): Order management in transformable business structures - basics and concepts, in: Robotics and Computer Integrated Manufacturing, Vol. 17, No. 6, pp. 461-468.Google Scholar
  7. [7]
    Andresen, K. (2005): Patterns of Adaptability in Enterprise Systems – Dissertation, Potsdam University.Google Scholar
  8. [8]
    Holland, J., H. (1992): Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence, in: Complex Adaptive Systems. MIT Press, Cambridge.Google Scholar
  9. [9]
    Wiendahl, H.P.: Components of Adaptability for the planning of competitive factory structures, in: Factory 2000+. Flexible, fast and cooperative factory concepts Creating company networks of the future.Google Scholar
  10. [10]
    Patten, K., Whitworth, B., Fjermestad, J., Mahinda, E. (2005): Leading IT Flexibility: Anticipation, Agility and Adaptability, in: Proceedings of the Eleventh Americas Conference on Information Systems, Omaha, NE, USA, August 11th - 14th 2005.Google Scholar
  11. [11]
    Spath, D., Baumeister, M., Barrho, T. Et al (2001).: Change Management in process of change (in German), in: Industrie Management, Vol. 17, No. 4, pp. 9-13.Google Scholar
  12. [12]
    Slack, N. (1983): Flexibility as a Manufacturing Objective, in: International Journal of Operations and Production Management, Vol. 3, No. 3, pp. 4-13.CrossRefGoogle Scholar
  13. [13]
    Upton, D.M. (1994): The Management of Manufacturing Flexibility. In: California Management Review, Vol. 36, No. 2, pp. 72-89.Google Scholar
  14. [14]
    Zaeh, M. F.; Mueller, N.; Rimpau, C. (2005): A Holistic Framework for Enhancing the Changeability of Production Systems, in: Proceedings of 1st International Conference in Changeable, Agile, Reconfigurable and Virtual Production (CARV 2005), Garching, 22.-23.09.2005.Google Scholar
  15. [15]
    Whitworth, B., Zaic, M. (2003): The WOSP model: Balanced Information System Design and Evaluation, in: Communications of the ACM, Vol. 12, pp. 258-282.Google Scholar
  16. [16]
    Morgan, G. (1995): Pictures of Organization. Sage Publications.Google Scholar
  17. [17]
    Deif, A.M.; ElMaraghy, W. (2007): Reconfigurable Process Plans for Responsive Manufacturing Systems, in: Digital Enterprise Technology: Perspective & Future Challenges, Springer Science, pp 35-44.Google Scholar
  18. [18]
    Koren, Y. (2003): Reconfigurable Machine Tools, in: Autonome Produktion, Springer, Berlin, Heidelberg, New York, pp. 523-534.Google Scholar
  19. [19]
    Koren, Y. (2010): The Global Manufacturing Revolution: Product-Process-Business Integration and Reconfigurable Systems, John Wiley & Sons, New Jersey.CrossRefGoogle Scholar
  20. [20]
    Wiegand, R. T.(1997): Picot, A., Reichwald, R.: Information, Organization, Management, John Wiley & Sons, New Jersey.Google Scholar
  21. [21]
    Lopes, A.; Fiadeiro, J. L.; Wermelinger, M. (2002): Architectural Primitives for Distribution and Mobility, in: ACM SIGSOFT Software Engineering Notes, Vol. 27, No. 6, pp. 41 - 50.CrossRefGoogle Scholar
  22. [22]
    Hanisch, F., Strasser, W. (2003): Adaptability and interoperability in the field of highly interactive web-based courseware, in: Computers & Graphics, Vol. 27, No. 4, pp. 647-655.CrossRefGoogle Scholar
  23. [23]
    Maturana, H.; Varela, F. (1987): The Tree of Knowledge. Shambhala Publications, Boston.Google Scholar
  24. [24]
    Probst, G.; Raub, S.; Romhardt, K. (1999): Managing Knowledge. John Wiley & Sons, London.Google Scholar
  25. [25]
    Davenport, T.; Prusak, L. (1998): Working Knowledge. How Organizations manage what they know. Boston.Google Scholar
  26. [26]
    Kaplan, R.S.; Norton, D. P. (1993): Putting the balanced scorecard to work, Harvard Business Review, September- October.Google Scholar
  27. [27]
    Malina, M. A.; Salto, F. H. (2001): Communicating and Controlling Strategy: An Empirical Study of the Effectiveness of the Balanced Scorecard, Journal of Management Accounting Research, Vol 13.Google Scholar
  28. [28]
    Punniyamoorthy, M.; Murali, R. (2008): Balanced score for the balanced scorecard: a benchmarking tool, Benchmarking, in: An International Journal, Vol. 15, No. 4, pp. 420 – 443.Google Scholar
  29. [29]
    Fritz, W. (2003) : Success Factors of Internet-Based Models, in : Modern concepts of the theorie of the firm : Managing Enterprises of the New Economy, Springer, Berlin, pp. 69-84.Google Scholar
  30. [30]
    Herr, C. (2007): Non-linear effect relationships of Key success factors during company foundation (in German). Gabler, Wiesbaden.Google Scholar
  31. [31]
    Sassone, P. G. (1987) : Cost-benefit methodology for office systems, ACM Transactions on Office Information Systems Vol. 5, No. 3, pp. 273 -289.CrossRefGoogle Scholar
  32. [32]
    Andresen, K.; Levina, O.; Gronau, N. (2008): Design of the evolutionary process model for adaptable software development processes, in: Procs. of European and Mediterranean Conference on Information Systems (EMCIS).Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Chair of Business Information Systems and Electronic GovernmentPotsdamBundesrepublik Deutschland

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