Papers by Author: Ju Li Deng

Abstract: The cooperator’s optimal selection is a difficulty in manufacturing supply chains, but the complex networks developed rapid recent year provide us a new method. It proposed a probability distribution model for optimal selecting cooperator in supply chains. Analyzed the growth of Manufacturing Supply Chain Network Relationship Graph (MSCNRG) firstly, and put forward a probability distribution function consisted with degrees, relationships and conditions of the vertices; some experiments were carried out to check the model. The results of probability distribution model provide a novel method to analyze the optimal selecting cooperators in supply chains.

Abstract: The historical records of mechanical fault contain great amount of important information which is useful to identify the similar fault, but the structural representation and the knowledge reasoning problem are troubled that we use the historical records effectively. Aiming at the problem, the fault knowledge representation based on ontology is put forward out. Firstly, the knowledge characteristics, the ontology building significance and principle of fault are analyzed. Secondly, the fault ontology is defined and described. Finally, the applications of fault diagnosis ontology are studied in protégé. The case study shows that the fault knowledge representation based on ontology is very intuitive and efficient; it can provide us a novel way to deal with the fault diagnosis problem.

Abstract: In order to resolve the modeling method of logistics network, a basic model named NGM is presented. According to some special characteristics of the real logistics network such as growth, preferential attachment, edge-weighted, and clustering, the basic model is improved and optimized. The modeling method of logistics is analyzed and simulated too. The results of the simulation show that the modeling method is more effective than the traditional logistics modeling theories.