Research on Dynamic Disassembly Line Balance of mixed model with Uncertain Product State

In this paper, the uncertainty of product state is introduced. How to balance the dynamic disassembly line under the condition of uncertain product state is a problem that has not been studied yet. This is also the main research content of this paper. Taking minimizing cycle time and peak energy consumption as objective functions, a mathematical model of dynamic disassembly line balance based on the above-mentioned problem is established. On this basis, a dynamic disassembly line balance planning algorithm based on tracking moving optimization is proposed to verify the effectiveness of the model and compare the performance of several classical multi-objective optimization algorithms on the problems raised in this paper. In order to solve the problem of frequent switching of the optimal solution obtained by tracking moving optimization, a robust definition based on constraints and a dynamic disassembly line balance planning algorithm based on robust optimization over time are further proposed. The effectiveness of the proposed algorithm is verified by experiments on several evaluation indexes.