Bottleneck Area Identification And Drift Fluctuation Analysis Of Discrete Remanufacturing System Under Disturbance

Complex manufacturing environment,the bottleneck of the existing recognition methods focuses on a single machine,process and manufacturing process stage of the recognition,it is difficult to describe complex environment of multiple bottlenecks point in the bottleneck,the bottleneck region identification method can effectively solve this problem,because of the uncertainty disturbance factors in the production and processing environment,Therefore,bottleneck machine will occur bottleneck drift phenomenon in the bottleneck area,and the production state of the bottleneck machine is prone to fluctuate.In view of this,the sensitivity coefficient and bottleneck drift judgment model are used to carry out quantitative analysis on the fluctuation degree of the bottleneck drift.The specific research work of this paper is as follows:(1)In view of the complex production environment of discrete workshop,it is difficult to reflect the real bottleneck state of the system to identify a single bottleneck by using a single indicator.The bottleneck characteristics of discrete workshop are summarized,the corresponding multi-indicator bottleneck identification system is established,the bottleneck area is defined,and the effectiveness of the bottleneck area identification method is analyzed.(2)In practical application scenarios,the use of single data may lead to deviation between the selected value and the actual situation.In the process of bottleneck area identification,interval number is used to describe the identification index and interval bottleneck identification matrix is established,and the probability matrix and sorting vector formula are used as the identification and judgment basis.According to the identification definition of the bottleneck area,k-Means ++ clustering analysis method was used to compare the similarity of each machine according to the interval bottleneck identification matrix and sorting vector,and find out the processing machine area under different distances,and then use the dominant machine in each area to determine the bottleneck area after comparison.Finally,the bottleneck area identification method is verified by simulation experiments,and the effectiveness of the method is proved.(3)Aiming at the bottleneck drift volatility problem in the uncertain environment of discrete remanufacturing system,the mechanism of the bottleneck drift phenomenon was analyzed.In order to quantify the influence of uncertain factors on machine state,a visual dynamic analysis method including system sensitivity coefficient,machine sensitivity coefficient and bottleneck drift judgment model was constructed based on interval bottleneck identification matrix and integrated bottleneck index.Finally,the degree of bottleneck drift fluctuation is quantitatively analyzed by orthogonal simulation experiment and the sensitivity coefficient and bottleneck drift judgment model.(4)Based on the theoretical method proposed above,based on the information software platform independently developed by the project team,a bottleneck area identification system is developed according to the production line processing needs of a manufacturing plant in Wuxi.The system was developed based on Oracle database and IDEA2021 software.The effectiveness of the proposed method was verified in the actual machining environment.