Abstract
Organizations in the building industry have major difficulties with identifying, saving and distributing knowledge gained during the production process. In this article the authors describe this matter and focus on knowledge exchange between planners and experienced site and project managers. After intensive field study to the nature of planning an approach based on design methodology is suggested to better structure planning (both work and output). Experiences of site and project managers can be taken back into the organization with a tool based on case based reasoning. When designing the construction process the planner is then supported by knowledge gained at earlier planning and construction processes. A conceptual model of the architecture of this tool and a few examples of cases are presented here. The authors finish this article by bringing forward rising questions that give direction to further research.
Preview
Unable to display preview. Download preview PDF.
References
Leijten, E., Maas, G., Vastert E.: Knowledge aspects of construction planning redesign. In: Drogemuller, R. (ed.): CIB W78-Information technology in construction, proceedings. CIB/James Cook University, Cairns, 1997.
Kolodner, J.L.: Case-based reasoning. Morgan Kaufmann, San Francisco, 1993.
Leake, D.B.: CBR in context: the present and the future. in: Leake, D.B. (ed.): Case-based reasoning: experiences, lessons and future directions. MIT Press, Menlo Park California, 1996.
Maher, M.L., Balachandran, M.B., Zhang, D.M.: Case-based reasoning in design. Lawrence Erlbaum Ass., Mahwah, New Jersey, 1995.
Hammond, K.J.: Case-based planning: viewing planning as a memory task. Academic Press, San Diego, California, 1989.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Leijten, E., Maas, G., Vastert, E. (1998). Shared experiences: Management of experiential knowledge in the building industry. In: Smith, I. (eds) Artificial Intelligence in Structural Engineering. Lecture Notes in Computer Science, vol 1454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030472
Download citation
DOI: https://doi.org/10.1007/BFb0030472
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64806-2
Online ISBN: 978-3-540-68593-7
eBook Packages: Springer Book Archive