CONSCHED: Expert System for Scheduling of Modular Construction Projects
Publication: Journal of Construction Engineering and Management
Volume 118, Issue 3
Abstract
The paper describes the principles, operation, and development of an expert system for progress scheduling in the construction of modular multistory buildings. Objectives of effective scheduling are presented and some rules for attaining them in this type of buildings are suggested. The scheduling in the system is task rather than component oriented. The system plans the execution of tasks in view of various managerial goals, and is very flexible in terms of building activities that it can handle and the amount of data required from the user. The system at its present stage is applicable to residential buildings with reinforced concrete skeletons. Operation of the system includes input processing of the project attributes, estimation of works quantities, generation of activities necessary for their execution, allocation of time and resources to activities, and determination of the schedule. An application example is presented. The knowledge base of the system includes a rule base, a data base, algorithms, context knowledge, and user interface. Further development will involve expansion of the technological domain, alternative managerial policies, and different compositions of floors.
Get full access to this article
View all available purchase options and get full access to this article.
References
1.
Al‐Shawi, M., Jaggar, M. D., and Brandon, P. S. (1990). “An expert system to assist in generation and scheduling of construction activities.” Proc. CIB 90; Buildings Economics and Construction Management, Vol. 2, Sydney, Australia, 375–384.
2.
Arditi, D., and Albulak, Z. (1986). “Line‐of‐balance scheduling in pavement construction.” J. of Constr. Engrg. and Mgmt., ASCE, 112(3), 411–422.
3.
De La Garza, J., and Ibbs, C. W. (1988). “A knowledge engineering approach to the analysis and evaluation of schedules for mid‐rise buildings.” Tech. Report 23, University of Illinois, Urbana, Ill.
4.
Echeverry, D., Ibbs, C. W., and Kim, S. (1991). “Sequencing knowledge for construction scheduling.” J. of Constr. Engrg. and Mgmt., ASCE, 117(1), 118–130.
5.
De La Garza, J. M., and Ibbs, C. W. (1990). “Knowledge elicitation study in construction scheduling domain.” J. Computing in Civ. Engrg., ASCE, 4(2), 135–154.
6.
Kano, N. (1990). “A knowledge‐based system for construction planning and scheduling.” Proc. 7th Int. Symp. on Automation and Robotics in Constr., Bristol Polytechnic, Bristol, England, Vol. 1, 303–310.
7.
Levitt, R. E., Kartam, N. A., and Kunz, J. C. (1988). “Artificial intelligence techniques for generating construction plans.” J. of Constr. Engrg. and Mgmt., ASCE, 114(3) 329–343.
8.
Navinchandra, D., Sriram, D., and Logcher, R. D. (1988). “GHOST: Project network generator.” J. Computing in Civ. Engrg., ASCE, 2(3), 239–254.
9.
Kahkonen, K., and Lauriba, P. (1990). “A computer program for generating and managing schedules for construction projects.” Proc. 7th Int. Symp. on Automation and Robotics in Constr., Bristol Polytechnic, Bristol, England, 311–312.
10.
Darwich, A., Sevilt, R. E., and Hayes‐Roth, B. (1990). “OAR PLAN generating projects plans by reasoning about objects, action and resources.” AI in Engrg. Design and Manufacturing, 2(3), 169–181.
11.
O'Brien, J. J. (1975). “VPM scheduling for high‐rise buildings.” J. Constr. Div., ASCE, 101(4), 895–904.
12.
Peer, S. (1974). “Network analysis and construction planning.” J. Constr. Div., ASCE, 100(3), 203–210.
13.
Selinger, S. (1980). “Construction planning for linear projects.” J. Constr. Div., ASCE, 106(2), 195–205.
14.
Selinger, S. (1984). “Approximate estimating of work quantities for residential buildings,” Report, Building Research Station, Technion‐I.I.T., Haifa, Israel.
15.
Shaked, O., and Warszawski, A. (1991). “Knowledge based system for construction scheduling.” Artificial Intelligence Civil Comp 91, Civil‐Comp Press, Oxford, England.
16.
Zozaya, G., and Hendrickson, C. (1988). “Knowledge based planning for construction projects.” Report No. R‐88‐170, Carnegie‐Mellon University, Pittsburgh, Pa.
Information & Authors
Information
Published In
Copyright
Copyright © 1992 ASCE.
History
Published online: Sep 1, 1992
Published in print: Sep 1992
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.