Title :
A distributed knowledge-based approach for planning and controlling projects
Author :
Chang, Ai-Mei ; Bailey, Andrew D., Jr. ; Whinston, Andrew B.
Author_Institution :
Arizona Univ., Tucson, AZ, USA
Abstract :
Classical techniques used in project planning and control generally lack the required functionality to manage large-scale projects characterized by a dynamic environment and uncertain and incomplete information. In order to overcome some of these problems, a distributed knowledge-based approach is proposed for planning and controlling large projects. It is shown how a model of truth maintenance can be effectively combined with existing planning and scheduling tools to allow for incomplete plans and for effective updating and control as more knowledge becomes available. The authors´ model is particularly well suited for supporting the extensive collaborative process among project participants that characterizes a large project
Keywords :
distributed processing; knowledge based systems; planning (artificial intelligence); truth maintenance; distributed knowledge-based approach; dynamic environment; incomplete information; large-scale projects; project control; project planning; truth maintenance; uncertainty; Capacitive sensors; Collaboration; Environmental management; Feedback; Information management; Large-scale systems; Lead time reduction; Pressure control; Product development; Project management;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
