摘要
本文借助文本挖掘技术,对大飞机制造供应链研究和实践中涉及的供应链知识进行提取;选取223本供应链教材作为知识点的来源,用41个知识点大类及细分的1584个知识点来构建供应链专业知识体系,根据词频表筛选出37个和大飞机制造供应链关系密切的大类知识点;将SLP法的基本技术思路进行移植运用,对供应链知识点之间的逻辑关系进行梳理。基于教材评价和文本挖掘结果,对大飞机制造供应链教材内容进行分级整理,并对大飞机供应链教材建设提出了对策建议。
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.
作者
李红启
王飞龙
王祉淇
LI Hong-qi;WANG Fei-long;WANG Zhi-qi(School of Transportation Science and Engineering,Beihang University,Beijing 100191,China)
出处
《物流研究》
2024年第1期69-78,共10页
Logistics Research
基金
国家自然科学基金项目(71972007)。
关键词
大飞机制造供应链
课程
教材评价
文本挖掘
SLP
Supply Chain Management for Large Commercial Aircraft Manufacture
Curriculum
Textbook Evaluation
Text Mining
SLP
