Research on Disassembly Sequence Planning of Remanufacturing Assembly Based on Improved Bat Algorithm
In order to solve the problems of high proportion of manual disassembly and low utilization rate of automatic disassem-bly of remanufacturing assembly,an improved bat algorithm is proposed to study the disassembly sequence planning(DSP)prob-lem.On the basis of the traditional bat algorithm,the compass operator is introduced to improve the bat algorithm.The number of disassembly direction changes,the number of disassembly tool changes and the number of disassembly operation position changes are selected as evaluation indexes,and the fitness function model is established.Through an application case,the optimization performance of the improved bat algorithm is tested and verified,and the improved bat algorithm is compared with GA,PSO and DEB A.Numerical results show that the algorithm has better optimization performance and more accurate solution than the other three algorithms.The method can obtain highly automated product disassembly sequence and guide the operator to complete the product disassembly process efficiently.
Remanufacturing AssemblyCompass OperatorBat Algorithm(BA)Product Disassembly Sequence PlanningFitness Function Model
万方数据
维普
