Knowledge Representation and Solution Method for Disruption Management Model in Distribution Decisions Associated with Requirement Changes
Yan Fang · Journal of Management Sciences · 2008
By analyzing the domain knowledge,modeling knowledge and solution knowledge,a knowledge-based solution method for disruption management problems associated with customers′ requirement changes in urban distribution decisions is proposed.This knowledge-based method,in which the theories of knowledge representation and modeling in the fields of artificial intelligence and knowledge engineering are introduced,includes a knowledge-based modeling process based on a knowledge representation method named BRGISC and a solution process for the knowledge-based model after designing knowledge base and reasoning rule.The proposed method overcomes the deficiencies of the mathematical model that cannot support real-time modeling and problem-solving.The application of the method is implemented in Dalian Sales Filiale of China National Petroleum Corporation,which handles disruptions associated with 0# gas distribution in urban district.A case study and experimental results in the application prove that the proposed method can real-timely respond to many kinds of disruptions caused by customers′ requirement changes and generate a sound solution in real time.