关键词: 再制造;质量目标;优化配置;模拟退火遗传算法

Abstract: In order to improve the remanufacturing assembly precision and quality stability, a quality oriented assembly grouping optimal allocation method for remanufactured complex mechanical products is put forward. The characteristics of complex mechanical remanufacturing assembly are analyzed. The overall architecture of quality oriented assembly grouping optimal allocation method for remanufactured complex mechanical products is established. Based on the quality tolerance precision grading and extreme value method dimension chain constraints, combined with the mass loss-tolerance function and assembly cost function, packet-optimized assembly constraint functions in the goal of ensuring the quality and cost minimization are built. Packet-optimized reassembly constraint functions are built, and the model calculation process on simulated annealing genetic algorithm and the dynamic programming optimization configuration are given. The method can regulate the reassembly process standardization. It is able to reduce the uncertainty of remanufacturing assembly process, and improve the quality of remanufactured products. A remanufactured engine assembly verifies that the method is feasible and effective. It provides a practical solution to improve the assembly quality of remanufacturing complex mechanical products.

Key words: remanufacturing;quality;optimal allocation;simulated annealing genetic algorithm