Optimization Research And Application Of Business Process Based On Web Service

Optimization of business process is one of most important issues in port terminal business processes. That to improve container harbor's competition power, though improving the combination efficiency of container harbor's business process, has become one of container harbor's greatest concerns. As the business process is too complex and will change according to the operation, because of the too many and different businesses as well as that there are some shortcomings in traditional centralized container management system in practical applications, such as lacking of flexibility, limited adaptability and scalability, poor interoperability and so on, it cannot meet the modern port logistics demand of complex applications which needs high scalability and loose coupling. For Web services technology based on service-oriented architecture provides technical support for optimizing business processes, it can be seen that it is an active theoretical significance as well as a practical value to release some research on business processes optimization based on Web Service.In this paper, we first reviewed the current studies on business processes optimization both domestic and abroad, analyzing the merits and defaults of several main-stream research methods which solve the problem of business processes optimization. After a thorough investigation, the issue of business processes optimization is NP-hard problem has been proved. Based on the current studies, to tackle the poor quality in combination efficiency and integral service in optimization of business processes based on directed graph, this paper proposed an algorithm based on the directed graph and an improved genetic algorithm, to improve the comprehensive performance of the Web Service dynamic combination. Due to the high complexity of graph building, the paper found out the partial effective paths in the procedure of graph building by means of back traversal to avoid the wasting time on building the whole graph. To enhance the ability of global search, a genetic algorithm fitting for solving the problem of combination optimization has been brought in to the present coding method, adaptation function, relevant running parameters and improved genetic iteration operation, which satisfy the characteristics of service combination in the directed graph. In the coding method, a matrix form based length varying chromosome coding method has been proposed to match the solution spaces in the combination model and the search spaces in the genetic algorithm correspondingly. Finally, though a simulation experiment which proved the validity of the current method, a contrastive analysis comparing used in this paper and the traditional one as well as the directed level graph method in literature [33] has been carried out to verify the superiority of the method proposed in this paper. In the meantime, considering the Chongqing Container Port Transportation Management System and the perspective of process in system businesses, this method was proved to be both feasible and practicable.