| Conventional algorithmic programs are unable to manipulate heuristic and qualitative knowledge which is necessary to solve construction problems such as the equipment selection. On the other hand Knowledge Based Expert System (KBES) are not robust in numerical data manipulation, while being very effective in declarative knowledge manipulation and handling of logical inferences and reasoning. Therefore, expert systems and conventional programming can be combined to support an effective decision throughout the crane selection process.;This research concentrates on presenting a methodology for crane selection for high-rise building construction projects. The methodology is incorporated into an integrated computer system, called CRANE ADVISOR, capable of advising the users on the selection of appropriate cranes for their building construction projects. Experts knowledge has been captured, classified and coded in the system's knowledge-base.;The system incorporates two main modules. The first being a Knowledge-Based module that contains experts knowledge, heuristics and rules of thumb related to cranes selection. The second is a Case-Based Reasoning module containing information on various cases representing already constructed buildings with preselected crane(s).;The system benefits from the Object Oriented Programming characteristics of the abstraction, inheritance, modularity, and encapsulation of data. LEVEL 5 as an Object-Oriented Expert System shell, has been used to develop the CRANE ADVISOR. It allows for the stored data and knowledge to be accessed by all parties involved in the crane selection process. It is also capable of facilitating user friendly interface. An example case is presented in order to demonstrate the effectiveness of the methodology.;The Crane Advisor contributes to the current automation efforts in construction industry and its modular architecture allows for further enhancements and expansion. (Abstract shortened by UMI.)... |
