Abstract
In previous works [14], models and processes enabling to make interacting a project planning process with the system design one have been presented. Based on the idea that planning and design processes can be guided by consulting past experiences, an integrated case-based approach for coupled planning project and system design processes is proposed in this article. The proposal is firstly based on an ontology of concepts that permits to gather and capitalize knowledge about objects to design, i.e. tasks and systems. Secondly, the integrated case-based process is presented taking into account planning of tasks and tasks of design. For the retrieve task, a compatibility measure between requirements and past cases is calculated. It is based on the semantic similarity between past and required concepts as well as past solutions and new requirements. Finally, integrated adaptation and retention of new solution(s) are done.
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
Pahl, G., Beitz, W.: Engineering Design: a Systematic Approach. Springer, Heidelberg (1996)
Bergmann, R.: Experience Management: Foundations, Development methodology and, Internet-based Applications. Springer, Heidelberg (2002)
Yang, C.J., Chen, J.L.: Accelerating preliminary eco-innovation design for products that integrates case-based reasoning and triz method. Journal of Cleaner Production (in press 2011)
Darlington, M.J., Culley, S.J.: Investigating ontology development for engineering design support. Advanced Engineering Informatics 22(1), 112–134 (2008)
Dieter, G.E.: Engineering design - A materials and processing approach, 3rd edn. McGraw-Hill International Editions (2000)
PMBOK Guide. A Guide to the Project Management Body of Knowledge, 3rd edn. Project Management Institute (2004)
Kolodner, J.: Case-based reasoning. Morgan Kaufman Publishers (1993)
Avramenko, Y., Kraslawski, A.: Similarity concept for case-based design in process engineering. Computers and Chemical Engineering 30, 548–557 (2006)
Negny, S., Le Lann, J.M.: Case-based reasoning for chemical engineering design. Chemical Engineering Research and Design 86(6), 648–658 (2008)
Lee, J.K., Lee, N.: Least modification principle for case-based reasoning: a software project planning experience. Expert Systems with Applications 30(2), 190–202 (2006)
Gomez de Silva Garza, A., Maher, M.L.: Case-based reasoning in design. IEEE Expert: Intelligent Systems and Their Applications 12, 34–41 (1997)
Grupe, F.H., Urwiler, R., Ramarapu, N.K., Owrang, M.: The application of case-based reasoning to the software development process. Information and Software Technology 40(9), 493–499 (1998)
Wu, Z., Palmer, M.: Verb semantics and lexical selection, pp. 133–139 (1994)
Abeille, J., Coudert, T., Vareilles, E., Aldanondo, M., Geneste, L., Roux, T.: Formalization of an Integrated System / Project Design Framework: First Models and Processes. In: Aiguier, M., Bretaudeau, F., Krob, D. (eds.) Proceedings of the First International Conference on Complex Systems Design & Management, CSDM 2010, pp. 207–217. Springer, Heidelberg (2010)
Suh, N.: Axiomatic Design: Advances and Applications. Oxford Series (2001)
Batet, M., Sanchez, D., Valls, A.: An ontology-based measure to compute semantic similarity in biomedicine. Journal of Biomedical Informatics 44(1), 118–125 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer Berlin Heidelberg
About this paper
Cite this paper
Coudert, T., Vareilles, E., Geneste, L., Aldanondo, M., Abeille, J. (2012). Proposal for an Integrated Case Based Project Planning. In: Hammami, O., Krob, D., Voirin, JL. (eds) Complex Systems Design & Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25203-7_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-25203-7_9
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25202-0
Online ISBN: 978-3-642-25203-7
eBook Packages: EngineeringEngineering (R0)