数据驱动的制造企业新型供应商网络协同效率评价研究

The extensive penetration of big data, internet of things and other information technologies in the industrial sector has a fundamental impact on supplier network of manufacturing enterprises. Material procurement and product manufacturing processes generate large amounts of heterogeneous data at an unprecedented rate, forming a new type of supplier network based on industrial big data. To precisely measure and evaluate the supplier network collaborative efficiency, and effectively incentive the member of supplier network will contribute to improve the consciousness of coordination and advance the overall efficiency of the supplier network.. In order to strengthen pertinence and effectiveness of supplier network efficiency evaluation, this project firstly analyses the main features of the new type of new supplier network, then elaborates the development law and evolution path of collaborative efficiency of this new supplier network from the perspective of synergy, proposes an evaluation method for supplier network collaborative efficiency based on a data-driven model, discusses dynamic supplier network collaborative development efficiency evaluation process, and systematically studies deep participation incentive strategies among supplier network members for efficiency collaboration and feedback incentive strategy adjustment method of supplier network member classification based on efficiency evaluation results.. In summary, the research of this project provides new theoretical and methodological support for the efficiency evaluation and incentive strategy for new supplier network of intelligent manufacturing enterprises in the transformation and upgrading, and has important theoretical and practical significance.

大数据、物联网等信息技术在工业领域的广泛渗透，对制造企业供应商网络产生了根本影响。物料采购和产品制造过程以前所未有的速度产生大量异构数据，形成基于工业大数据的新型供应商网络。对新型供应商网络协同效率进行度量与评价、对供应商网络成员进行有效激励是提高协同意识、提升供应商网络整体效率的关键措施。为提高新型供应商网络协同效率评价的针对性和有效性，本项目在制造企业新型供应商网络形态主要特征分析的基础上，从协同视角阐述新型供应商网络效率的发展规律和演化路径，提出基于异构数据驱动模型的供应商网络协同效率评价方法，探讨动态的供应商网络协同发展效率评价过程，系统研究面向效率协同的供应商网络成员深度参与激励策略和基于效率评价结果反馈的供应商网络成员分类激励策略调整方法。本项目的研究为转型升级中的智能制造企业新型供应商网络效率评价和激励策略研究提供新的理论和方法支撑，具有重要的理论价值和实践意义。

大数据、物联网等信息技术为制造产业的数字化、智能化变革提供了新动能，对制造企业供应商网络产生了根本影响，形成基于工业大数据的新型供应商网络。对新型供应商网络协同效率进行度量与评价、对供应商网络成员进行有效激励是提高协同意识和供应商网络整体效率的关键措施。项目组紧密围绕项目研究内容和预期目标开展研究工作，总结了制造企业新型供应商网络形态特征，研究了新型供应商网络角色分类和识别方法，提出了供应商网络协同熵值度量方法，构建了供应商网络协同效率评价模型，建立了智能制造供应商网络牛鞭效应弱化模型，分析了企业智能制造影响因素，开展了智能制造能力成熟度理论研究，建构了智能制造能力成熟度评价模型，设计了供应商网络成员协同激励策略。项目完成了预期目标，取得预期研究成果，所提理论、模型和算法在安徽理士供应商网络协同效率评价、智能制造能力成熟度评价、供应商激励策略设计等方面得以应用，项目的研究能够为转型中智能制造企业新型供应商网络协同效率评价和供应商激励策略设计提供新的理论和方法支撑。