Operation Process Optimization Of Computed Tomography Scanner Based On Petri Net

With the continuous development of science and technology,medical devices have arisen and evolved from simple auxiliary machines to large quantities of systemized devices.Moreover,large-scale medical devices such as medical imaging equipment,integrated with imaging devices and conversion systems,have made the in-vivo diagnosis possible.The normal operation of medical imaging equipment requires the support of internal systems in addition to the mutual cooperation between the components.Each equipment should not only undergo parts assemblage,but also pass system installation and test.Since the service is executed on human body,the production of medical equipment has to go through numerous quality barriers.Therefore,due to the effect of high-level product technology and strict quality supervision,the delivery cycle of large medical devices is often lengthy.At present,though large-scale medical device manufacturers all of the world is scant,it is often difficult for orders to be accomplished on time.This paper selects production process of a large-scale medical equipment,Computed Tomography Scanner,as the research object.With the help of Petri Net research tools,the internal structure analysis of the whole process from order generation to product acceptance is accomplished.It is verified that the product delivery cycle can be effectively shortened and improved using optimization plan proposed in this paper.This article at first describes the production process of the Computed Tomography Scanner in detail,divides the process into four stages according to the different processing objects.By drawing a cross-functional flow chart,it expresses the internal logical relationships and the personnel involved in the process.For the sake of analyzing the process to achieve further optimization,this paper considers the applicability and high efficiency of the Petri net method in process optimization,establishes a Petri net model of the Computed Tomography Scanner production business process.With the help of correlation matrix,the established Petri net is verified and subnets with concurrency and conflict relations is found out.Mapping these subnets to the actual process,the optimizable points of the entire Computed Tomography Scanner production business process are very clear.Subsequently,this article proposes optimization schemes for different optimization points,combined with ECRSI process optimization principles,adds some links to avoid conflicts,and merges some links to improve the balance of operation.At the same time,in order to complete the follow-up evaluation of the optimization plan,this paper establishes the Petri net model of the optimized process,which is validated by the correlation matrix.It is data that makes optimization effect of the optimization scheme more convincing.At the end of this article,time and color set parameters are added to the model,and the completed pattern is externalized in the Flex Sim simulation software.Through running simulation model many statistics are gained,which shows that the optimized process has an apparent promotion in running time and resource utilization.The simulation outcome also verified that canceling and combining sub-links can effectively shorten the process running time,adding sub-links can effectively resolve process conflicts.In this paper,the Petri net research method is applied to the production business process of medical devices.While broadening the application field of this method,it can also help related companies to shorten the product delivery time,improve resource utilization,and ultimately improve customer satisfaction.There are forty-six figures,thirty-three tables and seventy-seven references in this paper.