Research on Optimization Method for Parts Selection of Remanufactured Products Under Dimensional Accuracy Constraints

doi:10.3901/JME.2022.19.221

Abstract

Abstract: The rational selection of components from different sources such as reused, remanufactured and new parts is the key stage to ensure the quality and cost of remanufactured products. Aiming at the double influence of dimensional tolerance of parts to be selected on the quality loss and cost of remanufactured products, by designing the accuracy grading mechanism of dimensional tolerance of parts, the dimensional accuracy of each part of remanufactured products is not lower than that of the original new product, and the set of feasible matching schemes is obtained. Further, the dimension chain accuracy loss function and the total cost function of remanufactured products are established with the restriction that the precision of the product dimension chain is not less than that of the original product. A multi-objective optimization model for co-optimization of cost and quality of remanufactured products is constructed. The final optimization scheme is obtained by Enhanced Cooperative Co-evolutionary algorithm(ECCA), which can improve the dimension accuracy of remanufactured products and their parts in an all-round way while reducing the product cost. Finally, an example is taken to illustrate the optimization of the components of the remanufacture feed box of a machine tool. The results show that the proposed method can effectively solve the problem of remanufactured parts selection and assembly optimization under the constraint of not less than the dimensional accuracy of new products in the environment of multiple parts sources and large differences in dimensional accuracy and cost.

Key words: remanufacturing, parts selection, accuracy classification, dimensional tolerance, multi-objective optimization

CLC Number:

TH161

XING Shixiong, JIANG Zhigang, ZHU Shuo, ZHANG Hua. Research on Optimization Method for Parts Selection of Remanufactured Products Under Dimensional Accuracy Constraints[J]. Journal of Mechanical Engineering, 2022, 58(19): 221-228.

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