摘要
针对如何科学准确评价供应链物流协同问题,以装备制造业发展需求为导向展开研究。综合考虑装备制造业高质量发展特征,从物流管理精益化、过程信息化和决策智能化三个维度建立供应链物流协同评价指标体系;考虑指标结构的复杂性,构建基于结构方程模型(SEM)的物流协同结构模型,利用AMOS拟合修正模型得到指标路径系数及权重;为克服评价的模糊性与不确定性,建立物流协同综合评价云模型(CM),利用标准云、综合评价云以及两者的相似度判断物流协同水平。通过某农机装备制造企业的实际应用,验证了评价方法的有效性,为装备制造业供应链物流协同管理与科学评价提供了理论依据。
Aiming at the scientific and accurate evaluation of supply chain logistics coordination,the research is guided by the development needs of equipment manufacturing industry.Considering the high-quality development characteristics of equipment manufacturing industry,the supply chain logistics coordination evaluation index system was established from the three dimensions of lean logistics management,process informatization and intelligent decision-making.Considering the complexity of the indicator structure,we constructed a logistics collaborative structure model based on the structural equation model(SEM),and used AMOS to fit the revised model to get the index path coefficients and weights.In order to overcome the ambiguity and uncertainty of the evaluation,a supply chain logistics collaborative comprehensive evaluation cloud model was constructed,and the level of logistics collaboration was judged by the similarity between the standard cloud and the comprehensive evaluation cloud.Through the practical application of an agricultural machinery equipment manufacturing enterprise,the effectiveness of the evaluation method is verified,which provides a theoretical basis for the collaborative management and scientific evaluation of supply chain logistics in equipment manufacturing industry.
作者
张瑞敏
杨晓英
Zhang Ruimin;Yang Xiaoying(School of Mechatronics Engineering,Henan University of Science and Technology,Luoyang 471003,Henan,China;Henan Collaborative Innovation Center for Advanced Manufacturing of Mechanical Equipment,Luoyang 471003,Henan,China)
出处
《计算机应用与软件》
北大核心
2022年第6期61-69,共9页
Computer Applications and Software
基金
国家创新方法工作专项(2016IM030200)。
关键词
装备制造业
高质量发展
供应链
物流协同
结构方程模型
云模型
Equipment manufacturing
High-quality development
Supply chain
Logistics collaboration
Structural equation model
Cloud model