Abstract
The research work presented in this paper is motivated by the need to build performance measurement and decision making process into the enterprise models, a need rooted in the current industrial trend toward developing complex integrated enterprises. In order to accomplish Enterprise Integration (EI) compliance with the imposed performance requirements we formalize the EI modeling and performance control in a single formal framework based on representational theory of measurement and category theory. Category theory is expressive enough to capture qualitative and quantitative knowledge about heterogeneous EI requirements, their interrelations and decision-making mechanism in one formal representation, where structure and reasoning are inextricably bound together. Thus, category theory provides a computational mechanism whereby such knowledge can be applied to EI data and information structures to arrive at conclusions which are valid.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Fenton, N.E., Pfleeger, S.L.: Software Metrics: A Rigorous and Practical Approach 2/e. PWS Publishing Company (1998)
Barr, M., Wells, C.: Category Theory for Computing Science. Prentice-Hall, Englewood Cliffs (1990)
Fiadeiro, J.: Categories for Software Engineering. Springer, Heidelberg (2005)
Whitmire, S.: Object Oriented Design Measurement. Whiley Computer Publishing, New York (1997)
Kochhar, A., Zhang, Y.: A framework for performance measurement in virtual enterprises. In: Proceedings of the 2nd International Workshop on Performance Measurement, 6-7 June, Hanover, pp. 2–11 (2002)
Krantz, D.H., Luce, R.D., Suppes, P., Tversky, A.: Foundations of Measurement – Additive and Polynomial Representations, vol. 1. Academic Press, New York (1971)
Narens, L.: Abstract Measurement Theory. MIT Press, Cambridge (1985)
Johnson, H.T., Kaplan, R.S.: Relevance Lost: The Rise and Fall of Management Accounting. Harvard Business School Press, Boston (1987)
McNair, C.J., Masconi, W.: Measuring performance in advanced manufacturing environment. Management Accounting, pp.28–31 (July 1987)
Kaplan, R.S.: Measures for Manufacturing Excellence. Harvard Business School Press, Boston (1990)
Druker, P.E.: The emerging theory of manufacturing. Harvard Business Review, 94–102 (May/June 1990)
Russell, R.: The role of performance measurement in manufacturing excellence. In: BPICS Conference, Birmingham (1992)
Cross, K.F., Lynch, R.L.: The SMART way to define and sustain success. National Productivity Review 9(1), 23–33 (1989)
Dixon, J.R., Nanni, A.J., Vollmann, T.E.: The New Performance Challenge – Measuring Operations for World-class Competition, Dow Jones-Irwin, Homewood, IL (1990)
Kaplan, R.S., Norton, D.P.: The Balanced Scorecard: Translating Strategy into Action. Harvard Business School Press, Boston (1996)
EFQM. Self-assessment Guidelines for Companies, European Foundation for Quality Management, Brussels (1998)
Beer, S.: Diagnosing the System for Organizations. Wiley, Chichester (1985)
Neely, A., Mills, J., Gregory, M., Richards, H., Platts, K., Bourne, M.: Getting the Measure of your Business. University of Cambridge, Cambridge (1996)
Neely, A., Adams, C.: The performance prism perspective. Journal of Cost Management 15(1), 7–15 (2001)
Capability Maturity Model Integration (CMMISM), Version 1.1, Software Engineering Institute, Pittsburgh, CMMI-SE/SW/IPPD/SS, V1.1 (March 2002)
Card, D.: Integrating Practical Software Measurement and the Balanced Scorecard. In: Proceedings of COMPSAC 2003 (2003)
Gunasekaran, A., Patel, C., Tirtiroglu, E.: Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management 21(1/2), 71–87 (2001)
Beamon, M.: Measuring supply chain performance. International Journal of Operations & Production Management 19(3), 275–292 (1999)
Goguen, J.A.: A categorical manifesto. Mathematical Structures in Computer Science 1, 49–67 (1991)
Mikhnovsky, V., Ormandjieva, O.: Towards Enterprise Integration Performance Assessment based on Category Theory. In: Proceedings of Engineering/Computing and Systems Research E-Conference CISSE 2008 (2008)
Ormandjieva, O., Mikhnovsky, V.: Enterprise Integration Performance Modeling and Measurement Based on Category Theory. In: Proceedings of 2009 World Congress on Computer Science and Information Engineering (CSIE 2009), Los Angeles (2009)
International Standard ISO/IEC 25030:2007(E), Software engineering — Software product Quality Requirements and Evaluation (SQuaRE) — Quality requirements
International Standard ISO/IEC 15939 Second edition (2007); Whitmire, S.: Systems and software engineering —Measurement process. In: Object Oriented Design Measurement. Whiley Computer Publishing, New York (1997)
Roberts, F.: Measurement Theory. Encyclopedia of Mathematics and its Applications, vol. 7. Addison-Wesley, Reading (1979)
Eilenberg, S., Mac Lane, S.: General Theory of Natural Equivalences. Transactions of the American Mathematical Society 58, 231–294 (1945)
Pfalzgraf, J.: ACCAT tutorial Presented at 27th German Conference on Artificial Intelligence (KI 2004), September 24 (2004), http://www.cosy.sbg.ac.at/~jpfalz/ACCAT-TutorialSKRIPT.pdf
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Ormandjieva, O., Mikhnovsky, V., Klasa, S. (2009). Categorical Representation of Decision-Making Process Guided by Performance in Enterprise Integration Systems. In: Lee, R., Ishii, N. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Studies in Computational Intelligence, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01203-7_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-01203-7_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01202-0
Online ISBN: 978-3-642-01203-7
eBook Packages: EngineeringEngineering (R0)