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Business Process Modeling Optimization And Consistency Analysis Based On Petri Net

Posted on:2021-03-10Degree:MasterType:Thesis
Country:ChinaCandidate:H R YangFull Text:PDF
GTID:2428330605456852Subject:Applied Mathematics
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Business process modeling optimization and consistency analysis are two important aspects of business process management.With the advent of the e-commerce era,major companies and organizations have become increasingly demanding of the quality of their business processes.Business process models are optimized.In order to meet the security and credibility requirements of these enterprises and organizations,it is necessary to analyze and process the consistency of business process models.At present,the optimization of business process models includes not only generalized modeling optimizations,but also the selection of optimal paths.Modeling and optimization should be determined according to the specific situation.Some unnecessary processes are omitted,and some mergeable processes are merged.As for the selection of the optimal path,the main emphasis is on a method to find an optimal path required by enterprises and organizations through the given method.However,it should be noted that the optimal path is not equal to the shortest path.It must be defined according to the specific needs of enterprises and organizations.Regarding the analysis of business process consistency,in the previous research,the combination of data flow and control flow has become a new research trend,but in order to be closer to reality,other factors need to be considered on this basis..Conflict resolution in the propagation of changes in interactive processes has always been an important aspect that affects the consistency of interactive processes.Choosing a suitable method to deal with conflicts in the control flow of interactive processes can greatly reduce the workload,and at the same time,the existing methods do not consider the data of interactive processes Conflicts in the stream present new methods.The main research contents of this article are as follows:(1)Optimize the model for the waste of resources caused by too many blood tests in a medical procedure.Compared with the original model,the optimized process model reduces the number of blood tests from six to two.Not only does it reduce the patient's pain and financial burden,but it also avoids wasting medical resources.Finally,the optimized model was simulated and run using PIPE software,which verified that the optimized model was bounded,safe,and deadlock-free.(2)An optimal path selection method based on fuzzy Petri Net is proposed,which fully reflects the advantages of fuzzy Petri Net in dealing with uncertainty.At the same time,in combination with the algorithm given in this paper,the concept of the authenticity,transition confidence,and threshold is used to find the optimal path in the business process model that has the closest logical relationship with the target node.(3)Aiming at the shortcomings of existing business process model consistency analysis methods that do not consider factors other than data flow and control flow,a Petri Net business process consistency analysis method based on probability and time factors is proposed.This method is closer to the reality,and fully considers the influence of probability and time factors on the consistency of business process models,and makes up for the deficiencies in previous research.(4)A conflict resolution method based on configuration-based interactive process change propagation is proposed.This method not only improves and simplifies the conflict resolution method in the previous interactive process control flow,but also fully considers the interactive process data flow.Possible conflicts and proposed solutions.However,in previous research,conflicts in the data flow have never been considered separately,but the data flow is simply attached to the control flow,which may cause the interactive process model to fail to achieve the expected operating results.Figure[26]table[5]reference[94]...
Keywords/Search Tags:Petri net, modeling optimization, optimal path, consistency analysis, interactive process
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