基于T-JIT理论背景下的双渠道供应链协同风险优化研究

Study on Cooperative Risk Optimization of Dual-channel Supply Chain Based on Background of T-JIT theory

随着大数据、云计算、人工智能的兴起,物流领域也在突飞猛进地增长,表现为智慧物流的发展方向,智慧物流的突出表现首先体现在物流信息化方面,物流信息化覆盖率越高,则物流智慧程度越高,而T-JIT的出现是物流信息化重要程度的标志,也是近年来学术界非常关注的重要课题,在供应链中T-JIT的创新性理论下研究双渠道供应链线上、线下如何协调管理以降低风险是近年来供应链管理研究的热点课题。针对供应链本身和外部环境的不确定性、客户需求的多样性所决定的供应链协同风险的复杂性问题,提出T-JIT理论背景下双渠道供应链的协同风险优化研究。采用因子分析法(FAM)和逼近理想点排序法(TOPSIS)的同时融入模糊数学理论,建立了供应链协同风险的模糊评价模型,对多属性评价指标进行降维处理,解决了风险评价指标融合问题和评价指标过硬问题;同时考虑在T-JIT环境下信息共享因素对双渠道供应链期望利润决策影响,以双渠道供应链各节点企业利益最大化为目标,建立斯坦克伯格博弈模型并用实例和数值仿真验证了该方法和模型的可行性与有效性,同时与已有研究方法进行比较,为双渠道供应链协同风险优化研究提供了一种新的理论指导和可行的方法。

With the rise of big data,cloud computing and artificial intelligence,the logistics field is also growing rapidly which is reflected in the development direction of smart logistics.The outstanding performance of smart logistics is first reflected to the informationization of logistics.The higher the coverage rate of logistics informationization,the higher the intelligence of logistics,the emergence of T-JIT is the symbol of the degree of informationization of logistics,and it is also very concerned by academic circles in recent years.Under the innovative theory of T-JIT in the supply chain,the study of how to coordinate management online or offline for the dual-channel supply chain to reduce risk is a hot topic in supply chain management research in recent years.To cope with the complexity of the supply chain coordinative risk determined by the uncertainty of the supply chain itself and the external environment,and the diversity of customer requirements,the research of collaborative risk optimization of dual-channel supply chain under the T-JIT theory background is proposed.Combining fuzzy mathematics theory with factor analysis method(FAM)and TOPSIS method,the fuzzy evaluation model of supply chain coordinative risk is established,which reduced the dimension of multi-attribute evaluation indicator and solved the problem of integration of risk evaluation indicators and excellent evaluation indicators.At the same time,considering the influence of information sharing factors on the expected profit decision-making of dual-channel supply chain under the T-JIT environment,to maximize the benefits of enterprises in each node of dual-channel supply chain,the Stackelberg game model is established,the feasibility and validity of the model and the proposed method are verified by example and numerical simulation and compared with the existing research methods,It provides a new theoretical guidance and a feasible method for studying the collaborative risk optimization in dual-channel supply chain.