Study On The Method Of Identification And Optimization For Coupling Problem In Business Process Management

Recently, with the development of technology and formation of economic globalization, the environment of enterprises has changed greatly, which is characterized by serious market competition and rapidly changing customer needs. Under such ground, it is gradually recognized that the limitation of traditional production model and management mode, as well as the necessity to sort out itself business process in order to upgrade management capability and core competitiveness of the enterprise, so the related research about business process is getting widespread attention. The Coupling-correlated structure of business process is an intractable mode in the process reengineering and management, which is hard to improve by traditional methods of process management in respect that there is large potential area to study about its modeling, evaluation and optimization.On the base of intensive study to the related theory about business process management and coupling-correlated structure, this dissertation constitute one methodology pointed to process's coupling-correlated structure, puts emphasis on its modeling, identification, optimization and the effect evaluation of structure model after implement. The main research contents of this dissertation are as following:Firstly, according to the researching methods framework of the BP-oriented coupling problem, this study proposes a joint modeling strategy combining Petri net and DSM. Considering the identification, optimization and the effect evaluation to coupling problem, we focuses on building three kinds of matrix models for business process structure based on DSM. Thereinto, in the sub model of BP correlative degree based on DSM, we analyze the measure method of the activity-dependent correlative degree and introduce innovatively AHM method to evaluate the activity-dependent correlative degree.Secondly, the dissertation divide the identification process of BP coupling structure into three phases with established the relevant recognition algorithm. Meanwhile with reference to the strategy of concave function to the inertia weight, we propose a multidimensional asynchronism and stochastic disturbance for PSO algorithm for recognizing the phases, and achieve simulation realization of above results using Matlab software and Anylogic software.Thirdly,the optimization strategy frame for the BP-oriented coupling problem is constructed. Based on the optimization methods framework for the BP-oriented coupling problem, the study designs the Multi-objective mathematical model, and the MSPSO algorithm for Pareto is proposed.Lastly, based on multi-dependency structure matrices, a methods framework with matrix theory and entropy theory for BP effect structure evaluation is proposed. The formalization matrix used in description of differences with business process modeling technique based on polychromatic sets theory is put forward. Besides, calculating deviation degree that provides the level is presented.