This study utilizes text mining techniques to extract the supply chain knowledge involved in the research and development of supply chain management for large commercial aircraft manufacture.A total of 223 textbooks on supply chain are selected as the source of knowledge elements,and a set of 41 major categories that includes 1584 subcategories of knowledge elements are used to construct a professional knowledge system for supply chain.Referring to word frequency tables,37 major categories closely related to the supply chain of large commercial aircraft manufacture are determined.The SLP method is adopted to analyze the logical relationships among knowledge elements.Based on textbook evaluation and text mining conclusions.The content of the textbooks is classified based on importance and priority.Additionally,suggestions for the design of the textbooks are provided.
关键词
大飞机制造供应链/课程/教材评价/文本挖掘/SLP
Key words
Supply Chain Management for Large Commercial Aircraft Manufacture/Curriculum/Textbook Evaluation/Text Mining/SLP
维普
万方数据