物流信息平台业务协同响应控制关键信息研究

    A Research on Key Information for Collaborative Business Response Control of Logistics Information Platforms

    • 摘要: 为了提高基于物流信息平台发现的物流业务协同响应的效率,优化设计对应的决策支持模块,提出研究影响物流业务交易方响应决策的关键信息。通过构建物流业务协同响应的决策系统,从决策者、决策任务和环境3个方面识别出知识水平等17个潜在影响信息。应用AHP、DEMATEL及AHP-DEMATEL方法,分别求解各信息权重值来确定其重要程度,基于序号总和理论检验得到最好排序,按累积权重超过85%的信息为关键信息的原则,基于最好排序和3种方法共识的关键信息因素的交集,得到物流业务协同响应控制关键影响信息为边际收益/成本、业务匹配度等6个信息,大幅度减少物流业务控制/决策系统的设计工作量。

       

      Abstract: To improve the collaborative response efficiency of logistics business discovered through logistics information platforms and to optimize the design of the corresponding decision supportive modules, how to get the key information influencing decisions of logistics business trading parties is focused on. By constructing a logistics business collaborative response decision system, 17 potentially influential information factors such as knowledge level is identified from three aspects: decision makers, decision tasks and environment. The importance degree of each information factor is obtained by calculating their weights based on AHP, DEMATEL and AHP-DEMATEL methods. Moreover, the best order of the all information factors is determined according to the theory of the total orders and the important degrees above. Then, let the information with 85% cumulative weights as the key information, and all the key information data are derived from the intersection among the best order and the consensus key information under the three methods, which are marginal revenue, marginal cost, business matching degree, and so on. It may greatly reduce the design workload of logistics business control/decision-making system.

       

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