Research On Manufacturing Capability Assessment Method Of Industrial Robot Equipment Towards Multi-level Framework Of Job Shop

With the wide application of industrial robots in the manufacturing industry,people pay more and more attention to a series of manufacturing activities of industrial robots under the job shop framework.The manufacturing capabilities of industrial robots act as a prerequisite for the scheduling of manufacturing services,which occupy an important position in the job shop production,and it is particularly important to reasonably evaluate the manufacturing capabilities of industrial robot equipment under the job shop framework.The assessment of the manufacturing capacity of industrial robots under the traditional job shop framework still remains at a single level,and the unit level,the process line level,and the workshop level have not been considered at the same time to assess the manufacturing capabilities.Under the rapid development of intelligent manufacturing,the scheduling of service scheduling under the job shop framework has always been the focus of people's attention,therefore,it is of great significance to study the manufacturing capabilities of industrial robots under the job shop framework.This article chooses the industrial robot equipment under the framework of job shop as the research object,and uses the relationship between the unit level and the process line level to determine the manufacturing capability assessment model of industrial robot equipment towards multi-level framework of job shop,and proposes a dynamic assessment method based on error feedback correction,and the application prototype system is designed and implemented.The main research works are as follows:(1)According to the mechanism of manufacturing service scheduling on the process line and the principle of selection of evaluation indicators,the evaluation indicators towards multi-level framework of job shop are determined.By analysis of process line and unit level assessment indicators,a four-level evaluation index system towards multi-level framework of job shop is established and an evaluation model is determined.Finally,a dynamic environment is introduced to obtain the manufacturing capability dynamic assessment model of industrial robot equipment towards multi-level framework of job shop.(2)For the data dynamics of the industrial robots when in operating process,considering the variation of the manufacturing capabilities of the industrial robot in the time dimension,based on the error between the collected real-time data and the historical prediction data,a dynamic assessment method based on error feedback is proposed.This method uses the traditional AHP to determine the subjective weights of indicators at each level,and corrects the subjective weights in real time according to the error correction formula to obtain subjective and objective weights,and improves the disadvantages of subjective empowerment.In the time dimension,the error correction formula is used to correct the time weights,then this dynamic feedback assessment method is applied to the assessment model towards multi-level framework of job shop to achieve the dynamic assessment of the process line level and the unit level.Using the case analysis and the results analysis,the superiority of the evaluation method is verified.(3)According to the optimization problem of the industrial robot equipment' manufacturing processing on the process line,the assessment model towards multi-level framework of job shop and the dynamic evaluation method based on error feedback are applied to design and implement for the dynamic assessment service system.The industrial robot equipment manufacturing capability dynamic assessment service system has completed the real-time evaluation and optimization of industrial robot equipment on the process line and the unit level.