基于AHP和模糊综合评价法的锂电池生产线管理水平研究

Study on the Management Level of Lithium Battery Production Line Based on AHP and Fuzzy Comprehensive Evaluation Method

摘要: 锂电池作为新能源产业的核心基础元器件，在全球能源结构转型与智能制造升级的双重推动下，市场需求呈爆发式增长。生产车间作为制造企业创造核心价值的关键单元，其管理水平直接影响企业的生产效率、产品品质与市场响应效率。本文选取F企业锂电池生产线作为研究对象，搭建以人、机、料、法、环为核心的锂电池生产线管理水平评价体系，依托专家打分法，运用层次分析法测算出该体系中人、机、料、法、环各一级指标及对应二级指标的权重；同时通过问卷调查，结合模糊综合评价法对生产线各影响因素的实际表现开展量化评价。评价结果显示，方法因素在权重与评价值上均处于首位，是当前生产线管理的优势模块；设备因素权重位列第二，评价值却仅略高于权重最低的环境因素，成为制约整体管理水平提升的关键短板；环境因素的权重与评价值均为最低，根据“木桶效应”应该重视环境管理的提升。本文最终从设备、环境、材料、人员、方法五大维度，针对性提出生产线管理的优化策略。

Abstract: As a core basic component of the new energy industry, lithium-ion batteries are experiencing explosive growth in market demand driven by the dual forces of global energy structure transformation and intelligent manufacturing upgrading. As a key unit for creating core value in manufacturing enterprises, the management level of production workshops directly affects enterprises’ production efficiency, product quality and market response efficiency. This paper takes the lithium-ion battery production line of Enterprise F as the research object and constructs an evaluation system for the management level of lithium-ion battery production lines with man, machine, material, method and environment as the core. Based on the expert scoring method, the analytic hierarchy process is used to calculate the weights of the first-level indicators and corresponding second-level indicators of man, machine, material, method and environment in the system. Meanwhile, through questionnaire surveys and combined with the fuzzy comprehensive evaluation method, a quantitative evaluation is conducted on the actual performance of various influencing factors of the production line. The evaluation results show that the method factor ranks first in both weight and evaluation value, serving as the advantageous module of current production line management. The machine factor ranks second in weight, but its evaluation value is only slightly higher than that of the environment factor with the lowest weight, making it a key shortcoming restricting the improvement of overall management level. Both the weight and evaluation value of the environment factor are the lowest. According to the “cask effect”, attention should be paid to the improvement of environmental management. Finally, this paper puts forward targeted optimization strategies for production line management from five dimensions: machine, environment, material, man and method.