Aiming at the uncertainty of disassembly processes and logistics， an optimization method for the production and logistics integrated scheduling in a disassembly workshop is proposed to cooperatively optimize efficiency and cost. Firstly， the interaction factors between reverse production and reverse logistics in end-of-life product disassembly workshops are analyzed. A multi-objective scheduling model of the workshop is constructed， aiming at optimizing the maximum completion time and the advanced/delayed costs in reverse production and workshops logistics processes. Secondly， based on the logistics route decision， a mutation operator with gene repair is designed to improve the mutation accuracy of the NSGA-Ⅱ algorithm and enhances the solution effectiveness of the algorithm. Finally， taking a company's mobile phone disassembly line as an example， the multi-size production and logistics examples are analyzed. The results show that as the number of adaptive guided vehicles increases， the delay cost of large and small size examples are reduced by 57.1% and 58.3%， respectively， verifying the effectiveness of the model.