In order to find the optimal product platform in a product family, a system sensitivity analysis-based parallel method for optimization of product platform (SSAPM) is proposed. The key idea of this method is to decompose the product platform optimization problem with a system-level optimization problem and several independent subsystem-level optimization problems by introducing coordination variables. The system-level optimization obtains the sensitivity information on the objective function about the coordination variables by calling the subsystem-level optimization, and adjusts the coordination variables according to the sensitivity information. Under product constraints and performance constraints, the subsystem optimizes each product so that the design variables of each product are as close as possible to the coordination variables. With the continuous iteration between the system and the subsystems, the coordination variables that can maximize the generality of the product family are finally found. The numerical test results show that SSAPM has strong optimization ability.

为了在产品族中寻找最优的产品平台，提出了一种基于系统敏感性分析的产品平台并行优化方法（SSAPM）。该方法的核心思想是通过引入协调变量将产品平台优化问题分解为一个系统级优化问题和几个独立的子系统级优化问题。系统级优化通过调用子系统级优化获取目标函数关于协调变量的敏感性信息，并根据敏感性信息调整协调变量。在产品约束和性能约束下，子系统对每个产品进行优化，使每个产品的设计变量尽可能接近协调变量。随着系统与子系统之间的不断迭代，最终找到了能够最大化产品族通用性的协调变量。数值测试结果表明，SSAPM具有很强的优化能力。