Abstract
The development of efficient construction plans and schedules presents continuing challenges to construction schedulers. Knowledge-based systems offer considerable potential as computer-based planning tools to aid the development of realistic project plans and schedules. This paper outlines the development of a knowledge-based prototype system for construction planning and scheduling and evaluates its effectiveness as a tool for improving the productivity of inexperienced construction project schedulers. The prototype, developed using the M.1 knowledge engineering shell, incorporates data bases, algorithm, and heuristics that mimic the decision process of expert construction project schedulers and identifies a work breakdown structure and precedence relationships. Inexperienced schedulers using the prototype system to plan and schedule the construction of a particular type of reinforced concrete building recorded significant improvements in scheduling performance. These results confirm the system's effectiveness and support the further development of knowledge-based systems as tools for improving the productivity of the construction industry. © ASCE.
Recommended Citation
C. O. Benjamin et al., "Knowledge-based Prototype For Improving Scheduling Productivity," Journal of Computing in Civil Engineering, vol. 4, no. 2, pp. 124 - 134, American Society of Civil Engineers, Jan 1990.
The definitive version is available at https://doi.org/10.1061/(ASCE)0887-3801(1990)4:2(124)
Department(s)
Engineering Management and Systems Engineering
Second Department
Civil, Architectural and Environmental Engineering
International Standard Serial Number (ISSN)
0887-3801
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 American Society of Civil Engineers, All rights reserved.
Publication Date
01 Jan 1990
Included in
Architectural Engineering Commons, Civil and Environmental Engineering Commons, Operations Research, Systems Engineering and Industrial Engineering Commons
