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Research On Ontology-Based And Agent-Oriented Simulation Modeling Of Supply Chain

Posted on:2006-04-10Degree:DoctorType:Dissertation
Country:ChinaCandidate:C H QiuFull Text:PDF
GTID:1119360182472417Subject:Management systems and management engineering
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This research in this dissertation displays the demand and problems in the current supply chain simulation modeling field, presents primary idea and method which solves supply chain simulation modeling through agent-oriented technology, and submit a ontology-based agent-oriented supply chain simulation modeling framework, which achieves the standardization and generalization in the process of supply chain simulation modeling. The main contents can be concluded as the following parts:1. The system analysis of supply chain simulation modeling. Through the analysis of general demand in current supply chain simulation modeling, this dissertation constructively presents the general abstract model components of supply chain simulation modeling. This abstract simulation model can be divided into three important components: supply chain structure description model, supply chain knowledge description model and supply chain performance measure system. Presents a basic idea which achieves supply chain simulation modeling through combining the supply chain structure description model and supply chain knowledge description model, and provides foundation for establishing a new supply chain modeling theory.2. The methodology of agent-oriented supply chain simulation modeling. Based on the analysis of agent-oriented method, presents the methodlogy of agent-oriented supply chain simulation modeling, which provides a method for supply chian simulation modeling from higher level methodology. Deliveries a valuable and general agent-oriented supply chain simulation modeling components, which includes: supply chian agenta organization structure model, supply chain agents control model, supply chain agents interaction model and supply chain ontology model. From the views of standardization and uniformity in the process of modeling, brings forward the requirements for the supply chain simulation model, and points the direction for developing the software module components.3. Based-ontology and agent-oriented supply chain simulation modeling. This dissertation makes progress with the agent-oriented supply chain simulation modeling, presents a based-ontology and agent-oriented supply chain simulation model, and found a mutli-agent modeling framework based-ontology. This framework achieves the supply chain simulation modeling through combining supply chain processstructure model and supply chain ontology model. Within the framework, the supply chain process structure model is used to handle the definition of supply chain roles and its relations, and the supply chain ontology model is used to handle the related supply chain agents control, supply chain agents interaction and the the basic concepts within supply chain. Through this framework, achieves supply chain simulation modeling based-ontology and agent-oriented.4. Practical validation of the agent-oriented supply chain simulation modeling method. Through a modeling instance, validates the mehod of agent-oriented simulation modeling. Validates that this method has a good applicable in practical supply chain modeling, proves that this method is effective for realizating engineering modeling, and solves the problems of modeling efficiency and reuse in supply chain simulation modeling, improves flexibility of the modeling system.Finally, the author presents the nxet research direction for supply chain simulation moding. This research is gonging to go ahead according to following three directions: supply chain knowledge more generalization decription and model, supply chain distributed decision-making collaborative model and modeling of the collaborative model, supply chain distributed simulation under no central control. This will use the strengths of multi-agent technology and has more prosperous foreground.
Keywords/Search Tags:Supply chain simulation, Modeling, Multi-agent, Agent-oriented, Ontology
PDF Full Text Request
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