Study On Formalized Task Characterization And Decomposition Under The Environment Of E-commerce Logistics

The high-speed development of online shopping bring benefits to online sellers and customers, and definitely also put forward the big challenge for modern logistics distribution industry. As a kind of multi-enterprises joint distribution mode, Urban joint distribution can effectively integrate the enterprise resources, expand the scope of the services market, improve the logistics service capability to a certain extent, reduce logistics cost, improve resource utilization, and bring good social benefit for the enterprise 。 However, currently, because of lacking effective logistics task decomposition approach to support the automation of logistics task decomposition in computer, logistics task cannot effectively be distributed among enterprises in the joint distribution mode. At the same time, the description of the logistics tasks are relatively shallow, and lacking effective method to transform the logistics tasks into the format that the computer can recognize, understand and implement, which not only hinder the realization of the automated task decomposition method, but also make it difficult to the subtask to match the appropriate logistics resources. Therefore, for solving the problem of the recognition and match between logistics tasks and resources, and the problem of the reasonable distribution of the logistics tasks, putting forward a task decomposition method in computer is a key issue for the current e-commerce logistics distribution environment.According to the features of logistics tasks in online shopping environment, ontology is used to realize formalized task characterization, and hierarchical task network(HTN) planning is adopted to supports the automatic decomposition process of logistics task in computer to achieve rational and efficient decomposition of logistics tasks.First of all, through the analysis of the characteristics of logistics tasks, we clear constraint conditions, methods requirements, quality information of logistics task, clarify the combination relations between the tasks and subtasks and sequential, logical relations between sub-tasks, and on this basis, we use ontology description language, transforming logistics tasks into the format that the computer can recognize, understand and implement, supporting the task decomposition computer in computer.Secondly, Choosing the hierarchical task network(HTN) planning as a guide methods and technical means for logistics task decomposition, introducing the domain knowledge to extend the descriptions of HTN, so as to better use the logistics domain knowledge to support the task decomposition; and expanding and improving the HTN task decomposition algorithm, making the task decomposition more efficient.Finally, based on the expanded HTN planning the paper proposed, a case describing distribution task requirements is suggested to illustrate the application of proposed methods, and the feasibility and accuracy of proposed methods is measured.