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中国农机化学报

中国农机化学报 ›› 2024, Vol. 45 ›› Issue (8): 308-316.DOI: 10.13733/j.jcam.issn.2095‑5553.2024.08.045

• 农业机械化综合研究 • 上一篇    下一篇

 面向农机产品服务供应链采购模式匹配评价

熊宗慧1,2,何志琪1,胡平平1,曹东升1   

  • 出版日期:2024-08-15 发布日期:2024-07-26
  • 基金资助:
    国家自然科学基金项目(71861033)

Matching evaluation of supply chain procurement models for agricultural machinery products and services 

Xiong Zonghui1, 2, He Zhiqi1, Hu Pingping1, Cao Dongsheng1   

  • Online:2024-08-15 Published:2024-07-26

摘要: 随着制造业数字化转型和农机产品服务供应链的应用,突显出农机制造企业产品零部件采购模式,在选择匹配过程中存在主观性与模糊性的问题,提出一种基于物元可拓优度结合可拓层次分析法和CRITIC综合赋权法的采购模式匹配评价方法。从农机制造企业产品自身特征和产品服务供应链影响因素为切入点,构建产品服务供应链视角下的农机制造装备采购模式匹配评价体系,并通过关联函数计算,得到采购模式综合优度排序和单项指标的关联度对比,输出最优采购匹配模式和模式识别度。结果表明,最优采购模式匹配度为0.118,所对应的模式可以作为产供销阶段的核心采购模式。实例计算表明,建立的评价模型与企业匹配度很高,该方法将定性预测和定量决策结合起来,可以为农机制造企业的产品采购模式提供系统科学的匹配工具。

关键词: 农机机械, 产品服务供应链, 物元可拓方法, 采购模式匹配, 指标体系

Abstract: With the digital transformation of the manufacturing industry and the application of the supply chains of agricultural machinery products and services, there arises subjectivity and ambiguity in selecting the matching process for agricultural machinery manufacturing enterprises􀆳 product parts procurement mode. To address this, a procurement mode matching evaluation method is proposed based on matter‑element extension superiority, combined with the extension analytic hierarchy process and the CRITIC comprehensive empowerment method. From the agricultural machinery manufacturing enterprise􀆳s own characteristics and product service supply chain influencing factors as the entry point, the agricultural machinery manufacturing equipment procurement mode matching evaluation system is constructed under the perspective of the product service supply chain, and through the correlation function calculation, the comprehensive superiority ranking of procurement mode is obtained and the correlation degree comparison of single indexes is compared, and the optimal procurement matching mode and mode identification degree are output. The results show that the optimal procurement model matching degree is 0.118, and the corresponding model can be used as the core procurement model in the production, supply, and marketing stages. Example calculations show that the established evaluation model has a high degree of matching with the enterprise, which proves that the method combines qualitative prediction and quantitative decision‑making and can provide a systematic and scientific matching tool for the product procurement model of agricultural machinery manufacturing enterprises.

Key words: agricultural machinery, product service supply chain, matter?element extension method, sourcing model matching, indicator system

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