As the industrial digitalization has been recently leaping forward, high-efficiency production processes emerge, and assembly integration technologies are being progressively developed. For high-tech industries (e.g., aerospace manufacturing), however, unprecedented challenges are imposed on the conventional assembly manufacturing process technology. To be specific, the shallow digitizing and intelligent technologies fail to satisfy the rising requirements for efficiency, pass rates and cost; in particular, the way to down-regulate the unqualified rate and assembly cost of parts production remains unclear. In the present study, an intelligent matching assembly system was designed for reapplying out-of-tolerance parts. In addition, the concept of the mating base is proposed. Next, the fit relation between parts is quantified by employing the functional expression of dimension data, and such a relation is characterized as a function constraint with a variable of dimension. Moreover, the designed intelligent matching system was introduced into the existing assembly process to reemploy a number of unqualified parts and determine the matching parts most suitable for the original unqualified parts. On that basis, the most suitable parts are enabled to be involved in the assembly activities, as an attempt to satisfy the design requirements. To efficiently find the optimal matching scheme in the database of the unqualified parts and most effectively employ the unqualified parts, a set of optimal matching algorithms are proposed, thereby significantly down-regulating the production cost. Lastly, Monte Carlo method was adopted to simulate the actual production data, and the optimal matching scheme determined by the intelligent matching system was analyzed and assessed, which verified the effectiveness and practicability of the system.

近年来，随着工业数字化的飞跃，高效生产流程层出不穷，装配集成技术也在逐步发展。然而，对于高科技行业（例如，航空航天制造）而言，传统的装配制造工艺技术面临着前所未有的挑战。具体而言，浅层数字化、智能化技术已不能满足对效率、合格率和成本不断提高的要求；尤其是下调零部件生产不合格率和装配成本的途径尚不明朗。在本研究中，设计了一种智能匹配装配系统，用于重新应用超差零件。此外，还提出了配合基的概念。下一个，利用维度数据的函数表达式来量化零件之间的拟合关系，并将这种关系表征为具有维度变量的函数约束。此外，将设计的智能匹配系统引入到现有的装配过程中，重新使用多个不合格零件，并确定最适合原始不合格零件的匹配零件。在此基础上，使最合适的零件参与装配活动，以尝试满足设计要求。为了有效地在不合格零件数据库中找到最优匹配方案，最有效地利用不合格零件，提出了一套优化匹配算法，从而显着降低了生产成本。最后，