Abstract
Most project-based industries such as construction, shipbuilding, and software development etc. should generate and manage project network for successful project planning. We suggest a set of criteria of good project network generator such as network generation efficiency, quality of network, and economics of system development. For the efficiency of the planning, the first criterion, we decided to take a CBR approach. However, using only previous cases is insufficient to generate a proper network for a new project. By embedding rules and constraints in the case-based system, we could improve the quality of the project network: the second criterion. The integration of CBR approach and the knowledge-based approach makes feasible the development of the project network generator and improves the quality of the network by mutual enhancement through crosschecking the knowledge and cases in the development and maintenance stages. For some complex project network planning, a single-case assumed project network generation methodology is refined into Dynamic Leveled Multiple Case approach. The methodology contributes again the efficiency and effectiveness of project network generation and reduces the efforts of the system development.
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References
Hendrickson, C., Zozaya-Gorostiza, C., Rehak, D., Baracco-Miller, E., Lim, P.: An Expert System for Construction Planning. Journal of Computing in Civil Engineering 1(4), 253–269 (1987)
Kartam, N., Levitt, R., Wilkins, D.: Extending Artificial Intelligence Techniques for Hierarchical Planning. Journal of Computing in Civil Engineering 5(4), 464–477 (1991)
Lee, J.K.: UNIK User’s Manual (in Korean), Intelligent Information Systems Laboratory, Korea Advanced Institute of Science and Technology, Seoul, Korea (1994)
Lee, K., Kim, H., Lee, J., Kim, T.: Case-and Constraint-Based Project Planning for Apartment Construction. AI Magazine 19(1), 13–24 (1998)
Navinchandra, D., Sriram, D., Logcher, R.: GHOST: Project Network Generator. Journal of Computing in Civil Engineering 2(3), 239–254 (1988)
Ory, S., Abraham, W.: Knowledge-Based System for Construction Planning of High-Rise Buildings. Journal of Construction Engineering and Management 121(2), 172–182 (1995)
Winstanley, G., Chacon, M., Levitt, R.: Model-Based Planning: Scaled-Up Construction Application. Journal of Computing in Civil Engineering 7(2), 199–217 (1993)
Zhang, D., Maher, M.: Case-Based Reasoning for the Structural Design of Buildings. In: Paper presented at the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE) 1995, Melbourne, Australia, June 6-8, vol. 95, pp. 6–8 (1995)
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© 2004 Springer-Verlag Berlin Heidelberg
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Kim, H.W., Lee, K.J. (2004). Criteria of Good Project Network Generator and Its Fulfillment Using a Dynamic CBR Approach. In: Funk, P., González Calero, P.A. (eds) Advances in Case-Based Reasoning. ECCBR 2004. Lecture Notes in Computer Science(), vol 3155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28631-8_46
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DOI: https://doi.org/10.1007/978-3-540-28631-8_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22882-0
Online ISBN: 978-3-540-28631-8
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