Optimization of cutting diagrams sorting in mass customization furniture OPF production
[Objective]Mass customization is an important mode of transformation and upgrading of furniture manufacturing industry,and highly automated OPF production is one of the main development directions of its intelligent manufacturing.Mixing production is an important means for custom furniture to improve board utilization and reduce production costs,but in OPF production,there are high requirements for the sorting process.This paper focuses on the contradiction between mixing and sorting in the OPF production of mass customization furniture.By optimizing the cutting diagrams sorting,the sorting of incoming materials is achieved in an orderly manner,which makes the order completion process smoother,reduces the peak inventory of sorting warehouses,alleviates sorting pressure,compresses sorting warehouse capacity,and expands mixing scale,promoting the stability of mass customization furniture OPF production.[Method]By conducting long-term research on the production line of leading domestic custom furniture enterprises and analyzing the cabinet production line as a typical case,starting from the basic manufacturing logic under OPF production,exploring the implementation of optimization based on existing equipment conditions without causing loss of board utilization rate,this paper carries out cutting diagrams sorting optimization with the goal of minimizing the dispersion degree of each order's parts in batch processing,forms a collection and processing method for relevant basic data,constructs a mathematical model for the optimization problem of cutting diagrams sorting,uses GA to solve the problem,and evaluates the optimization effect from three dimensions:order's parts dispersion,order completion process,and sorting warehouse peak inventory.It achieves the solution of the optimization problem of cutting diagram sorting in mass customization furniture OPF production.[Result]This paper collects basic data from the cabinet production line of Oppein Group and processes it.The feasibility was verified through small-scale testing,and the overall effect was measured through large-scale testing.The small-scale testing of three batches showed that the cutting diagrams sorting optimization method proposed in this paper was feasible.The degree of dispersion of order's parts in each batch was reduced to varying degrees,and the process of completing batch orders was smoother compared to before optimization.The peak inventory of sorting warehouses was significantly reduced compared to before optimization.The average dispersity of each batch in the large-scale test of 51 batches in 3 working days decreased by 21.73%;The quantity of cutting diagram required for the first order and 1/4 batch orders in the batch decreased by 37.27%and 19.86%,while other nodes also decreased to varying degrees;The peak inventory of the sorting warehouse decreased by an average of 105.25 pieces,a decrease of 15.17%,indicating the universal applicability of cutting diagrams sorting optimization.[Conclusion]By optimizing the cutting diagrams sorting,it is possible to achieve orderly processing with the goal of reducing the dispersion of order's parts under the existing equipment conditions of OPF production and maintaining the same board utilization rate.This can smooth the process of order completion,alleviate the serious imbalance between the entry and exit of the robot sorting process,and achieve compression of sorting warehouse capacity or further expansion of the scale of mixing orders.It has certain reference significance for promoting the development of mass customization furniture intelligent manufacturing.
mass customization furniturecutting diagrams sortingOPFGAfurniture manufacturingintelligent manufacturing
万方数据
维普
