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Modeling and Solving Material Resources Allocation and Distribution with OR Based and AI Guided Method
Authors:CHEN Xueguang \ LU Ke\ FEI Qi Huazhong University of Science and Technology  Wuhan Surya B Yadav Area of Information and Quantitative Sciences College of Business Administration  Texas Tech University  Lubbock  TX  USA
Institution:CHEN Xueguang *\ LU Ke\ FEI Qi Huazhong University of Science and Technology,Wuhan 430074 Surya B. Yadav Area of Information and Quantitative Sciences College of Business Administration,Texas Tech University,Lubbock,TX 79401 2101,USA
Abstract:Material resources allocation and distribution with national wide is really a complicated problem.It has been shown in practice that neither the traditional OR method nor the AI technology alone could solve the problem satisfyingly. \ \ In this paper we propose a new model to describe the problem.Then, we solve this problem using an OR based and AI guided method.Here an AI method is employd to attack ill structured problems and provide a feasible plan as a guidance while OR method is used to find optimal solution of the problem.Corresponding algorithms are developed to support this model.All of these models, algorithms and approach have been implemented in a system called Intelligent Materials Allocatior and Distributor that has been put into practice in China for several years.
Keywords:artificial intelligence  expert systems  decision support systems  heuristic search  Knowledge based systems  modeling  multi objective optimization  
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