Abstract
Business performance management today does not possess a rigorous and grounded engineering methodology capable of delivering reliably measured values to backing up decision making. Much more it is the art of executive gurus who listen to their backbone experience and take their decisions using intuitive and heuristic approaches. This vagueness appears to be one of the main reasons for current dissatisfaction in industry. In this paper we express our vision of how a rigorous engineering methodology for business performance management in engineering design may look like. Our research work in PSI and PRODUKTIV+ projects strongly suggests that the underlying modeling framework has to be holonic. We consider that the solution has to: (i) be based on a sound Domain ontology of performance; (ii) use dynamic distributed planning technique and simulations to predict the performance of a design system; (iii) use the methodology which is sensitive to the specificities of a particular design system.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
References
Thorpe, R., Beasley, T.: The characteristics of performance management research – Implications and challenges. Int. J. of Productivity and Performance Management 53(4), 334–344 (2004)
Matzke, W.-E.: Engineering Design Performance Management – from Alchemy to Science through ISTa. In: Kachek, R., Mayr, H., Liddle, S. (eds.) Proc. 4th Int. Conf. on Information Systems Technology and its Applications, ISTA 2005, Palmerston North, New Zealand, May 23-25. LNI, vol. 63, pp. 154–179. Gesellschaft für Informatik, Bonn (2005)
Kaplan, R.S., Norton, D.P.: The Balanced Scorecard: Measures that Drive Performance. Harvard Business Review, 71–80 (January-Feburary 1992)
Sohnius, R., Jentzsch, E., Matzke, W.-E.: Holonic Simulation of a Design System for Performance Analysis. In: Marik, V., Colombo, A.W., Vyatkin, V. (eds.) Proc. 3rd Int. Conf. on Industrial Applications of Holonic and Multi-Agent Systems (HoloMAS 2007), September 3-5, Regensburg, Germany (2007)
Meyer, M.W., Gupta, V.: The Performance Paradox. In: Cummings, L.L., Staw, B. (eds.) Research in Organizational Behavior, pp. 309–369. JAI Press, Greenwich, Conn (1994)
Baldvinsdottir, G., et al.: The Role of Trust in Accounting Research. In: Proc. 26th Annual Congress of the European Accounting, April 2-4, Seville (2003)
Faulk II, L.H.: Pay Satisfaction Consequences: Development and Test of a Theoretical Model. Dissertation, Louisiana State Univ. (2002)
Hall, D.: Power Strategy Tool Kit - Part 2: Managing the performance. Learning & Leading with Technology 31(2), 36–41 (2003)
Melchert, F., Winter, R.: The Enabling Role of Information Technology for Business Performance Management. In: Meredith, B., Shanks, G., Arnott, D., Carlsson, S. (eds.) Decision Support in an Uncertain and Complex World. Proc. 2004 IFIP Int. Conf. on Decision Support Systems (DSS 2004), Prato, Italy, pp. 535–546 (2004)
O’Donnell, F.J., Duffy, A.H.B.: Modelling Design Development Performance. Int. J. of Operations & Production Management 22(11), 1198–1221 (2002)
Harkema, S.: Reflections on the Consequences of the Application of Complexity Theory for New Pproduct Introductions. In: Frizelle, G., Richards, H. (eds.) Tackling Industrial Complexity: the Ideas that Make a Difference. Papers from the 2nd Int. Conf. of the Manufacturing Complexity Network, April 9-10, 2002, pp. 467–482. U. of Cambridge, UK (2002)
Barnhart, R.K. (ed.): Chambers Dictionary of Etymology. Chambers Harrap Publishers Ltd, Edinburgh (1988)
Lera, I., Juiz, C., Puigjaner, R.: Performance-Related Ontologies and Semantic Web Applications for On-Line Performance Assessment of Intelligent Systems. Science of Computer Programming 61, 27–37 (2006)
Truong, H.-L., Dustdar, S., Fahringer, T.: Performance Metrics and Ontologies for Grid Workows. Technical report TUV-1841-2004-28, Technical University of Vienna, (September 20, 2004)
Ermolayev, V., Jentzsch, E., Karsayev, O., Keberle, N., Matzke, W.-E., Samoylov, V., Sohnius, R.: An Agent-Oriented Model of a Dynamic Engineering Design Process. In: Kolp, M., Bresciani, P., Henderson-Sellers, B., Winikoff, M. (eds.) Agent-Oriented Information Systems III. 7th Int. Bi-Conf. W-shop AOIS 2005, Utrecht, Netherlands, July 26, 2005, and Klagenfurt, Austria, October 27, 2005, pp. 168–183 (revised selected papers)(2006)
Carlucci, D., Marr, B., Schiuma, G.: The Knowledge Value Chain: How Intellectual Capital Impacts on Business Performance. Int. J. Technology Management 27(6, 7), 575–590 (2004)
Collett, R.: Benchmarking IC Development Capability – What to Measure? Fabless Forum. Fabless Semiconductor Association 11(2) (2004)
Krause, O.: Beyond BSC: a process based approach to performance management. Measuring Business Excellence 7(3), 4–14 (2003)
Gorodetsky, V., Karsayev, O., Konushy, V., Jentzsch, E., Matzke, W.-E., Ermolayev, V.: Multi-agent Software Tool for Management of Design Process in Microelectronics. In: Nishida, T., Klusch, M., Sycara, K., Yokoo, M. (eds.) Proc. IEEE/WIC/ACM Int. Conf. on Intelligent Agent Technology (IAT 2006), Hong Kong, December 18-22, 2006, pp. 773–776. ACM Press, New York (2006)
Sohnius, R., Ermolayev, V., Jentzsch, E., Keberle, N., Matzke, W.-E., Samoylov, V.: Managing Concurrent Engineering Design Processes and Associated Knowledge. In: Ghodous, P., Dieng-Kuntz, R., Loureiro, G. (eds.) Leading the Web in Concurrent Engineering. Proc. 13th ISPE Int. Conf. on Concurrent Engineering: Research and Applications, Antibes, French Riviera, September 18-22, 2006. Frontiers in AI and Applications, vol. 143, pp. 198–205. IOS Press, Amsterdam (2006)
Ermolayev, V., Keberle, N.: A Generic Ontology of Rational Negotiation. In: Karagiannis, D., Mayr, H.C. (eds.) Information Systems Technology and its Applications. 5th Int. Conf. ISTA’2006, Klagenfurt, Austria, May 30-31, 2006. LNI, vol. 84, pp. 51–66. Gesellschaft für Informatik, Bonn (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ermolayev, V., Matzke, WE. (2007). Towards Industrial Strength Business Performance Management. In: Mařík, V., Vyatkin, V., Colombo, A.W. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2007. Lecture Notes in Computer Science(), vol 4659. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74481-8_37
Download citation
DOI: https://doi.org/10.1007/978-3-540-74481-8_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74478-8
Online ISBN: 978-3-540-74481-8
eBook Packages: Computer ScienceComputer Science (R0)