Balancing Optimization Study Of Industrial Robot Production Line Based On Redundant Design Principle

In recent years,with the rapid development and wide application of intelligent manufacturing technology,intelligent manufacturing system has become an important direction for the transformation and upgrading of traditional manufacturing system.Compared with the traditional production system in which the production line operators are ordinary workers,the production line operators in the intelligent manufacturing system are replaced by industrial robots.However,the occurrence of industrial robot failures is inevitable due to factors such as production environment and reliability of machine components,and this phenomenon may have an important impact on the operation of industrial robot production lines in intelligent manufacturing systems.Therefore,the study of industrial robot production line balance optimization in the context of considering failure factors seems necessary,and this paper will apply redundancy theory to industrial robot production line balance optimization.The purpose of this thesis is to systematically study the robot production line balance optimization problem.For the simple operation robot production line balance optimization problem,the workstation setting backup robots are used to optimize the production line because of the lower complexity of corresponding robot tasks and purchasing costs.In this paper,firstly,based on the standard working hour calculation method and redundancy theory,we derive the calculation formulas for the working time of a single industrial robot and multiple industrial robots corresponding to work stations.On this basis,The model for configuring the number of robots at each workstation with the objective of optimizing robot input cost and production line balance rate is constructed by combining the production line balance theory,and it is solved by genetic algorithm to obtain the most suitable parallel operation robots and backup robots number allocation for each workstation of the simple operation robot production line.Finally,for the case that the capacity of the simple working robot production line changes,this paper proposes a specific adjustment method for the configuration of the number of parallel working robots and backup robots at each workstation based on the idea of industrial engineering bottleneck workstation optimization,and draws the corresponding production line optimization flow chart.For the problem of balancing and optimizing the production line of complex operation robots with high robot operation complexity and procurement cost and functional redundancy among them,the production line can be optimized by means of faulty robot operation assignment.First,this paper analyzes the operation characteristics of complex work robots and introduces the types of faulty robot job assignment.Further,based on the production line balance theory and operation job assignment constraints,a faulty industrial robot job assignment model for complex operation robot production line is constructed,and an exact algorithm and a heuristic algorithm based on Monte Carlo random sampling idea are designed for individual robot assignment and optimal principle assignment,respectively,for solving the model.Based on the above theoretical research,the specific solution operation steps are elaborated for the allocation problem of the number of robots at work stations in the simple operation robot production line and the assignment problem of industrial robots with failures in the complex operation robot production line,taking the cell phone assembly production line of enterprise M and the body assembly production line of enterprise B as cases respectively.Through the example verification,the above method can effectively reduce the production line capacity loss caused by robot failure,and help enterprises to calculate the production line capacity more accurately,make scientific and reasonable production plans,and accelerate the process of intelligent transformation of manufacturing industry.