Abstract
This paper illustrates how the Case Based Reasoning (CBR) paradigm has been applied to the definition of the requirements and the specifications of a Knowledge Management technology supporting the handling of tuning and anomalies in production processes. In particular, the production of truck tyres will be illustrated as the application domain of the proposed approach. This domain is a paradigmatic example where the valorization of the experiential knowledge is a company requirement, so the representation of knowledge concerning production process issues is mandatory. It requires extending CBR techniques to an emerging area of application involving knowledge about the interplay of static objects (i.e. products) with dynamic objects (i.e. processes). The content of production cases, their organization into a Case Base and a first proposal for the Case Base retrieval of similar cases will be presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Prahalad, C.K., Hamel, G.: The core competence of the corporation. Strategic Learning in Knowledge Economy: Individual, Collective and Organizational Learning Process (2000) 3–22
Utterback, J.M.: Mastering the Dynamics of Innovation. Harvard Business School Press, Boston (MA) (1996)
Bandini, S., Manzoni, S.: Product design as product revise. In Esposito, F., ed.: AI*IA 2001: Advances in Artificial Intelligence, 7th Congress of the Italian Association for Artificial Intelligence, Bari, Italy, September 25-28, 2001, Proceedings. Volume 2175 of Lecture Notes in Computer Science., Berlin, Springer (2001) 159–164
Kolodner, J.: Case-Based Reasoning. Morgan Kaufmann, San Mateo (CA) (1993)
Aha, D., Becerra-Fernandez, I., Maurer, F., Munoz-Avila, H., eds.: 1999 AAAI Workshop, Exploring Synergies of Knowledge Management and Case-Based Reasoning, Technical Report WS-99-19, Naval Research Lab, Navy Center for Applied Research in Artificial Intelligence (1999)
Aha, D., Weber, R., eds.: 2000 AAAI Workshop, Intelligent Lessons Learned Systems, Technical Report AIC-00-005, Naval Research Lab, Navy Center for Applied Research in Artificial Intelligence (2000)
Althoff, K.D., Birk, A., vonWangenheim, C.G., Tautz, C.: CBR for experimental software engineering. In Lenz, M., Bartsch-Spörl, B., Burkhard, H.D., Wess, S., eds.: Case-Based Reasoning Technology. Volume 1400 of Lecture Notes in Computer Science., Springer (1998) 235–254
Bandini, S., Manzoni, S.: A support system based on CBR for the design of rubber compounds in motor racing. In Blanzieri, E., Portinale, L., eds.: Advances in Case-Based Reasoning, 5th European Workshop, EWCBR 2000, Trento, Italy, September 6-9, 2000, Proceedings. Volume 1898 of Lecture Notes in Computer Science., Berlin, Springer (2000) 348–357
Bandini, S., Manzoni, S.: Modeling core knowledge and practices in a computational approach to innovation process. Model-Based Reasoning: Scientific Discovery, Technological Innovation, Values (2002)
Proceedings of workshop on case-based reasoning approaches for process-oriented knowledge management, at 4th international conference on case-based reasoning, ICCBR 2001, vancouver (canada), july 30-august 2, 2001. online available at http://www.iccbr.org/iccbr01/workshops.html (2001)
DeCindio, F., DeMichelis, G., Simone, C.: Giving back some freedom to system designers. System Research 2 (1985) 273–280
Wenger, E.: Communities of Practice: Learning, Meaning and Identity. Cambridge University Press, New York (1998)
Simone, C., Sarini, M.: Adaptability of classification schemes: what does it mean? In: Proc.7th Conference on Computer Supported Cooperative Work, Copenhagen, September 2001, Kluwer Academic Press (2001) 19–38
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bandini, S., Manzoni, S., Simone, C. (2002). Tuning Production Processes through a Case Based Reasoning Approach. In: Craw, S., Preece, A. (eds) Advances in Case-Based Reasoning. ECCBR 2002. Lecture Notes in Computer Science(), vol 2416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46119-1_35
Download citation
DOI: https://doi.org/10.1007/3-540-46119-1_35
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44109-0
Online ISBN: 978-3-540-46119-7
eBook Packages: Springer Book Archive