为更好地处理产品族可配置规划大量带有矛盾前提的知识,通过顾客需求获取、可拓变换和可拓聚类等方法来解决配置需求动态增加、配置阈值确定和冲突消解等三个问题,提出了基于可拓逻辑的产品族可配置规划模型。首先通过共轭分析法得到需求基元,建立需求与产品族结构特征之间的映射关系,利用可拓规则推理,从定性角度得到能够满足顾客需求的一系列产品。然后在需求基元图中,应用变换矩阵对需求基元加以变换,由顾客根据变换结果再次输出需求基元,与最初需求基元计算相容度,利用改进的遗传算法动态取得配置阈值来判断变换的可行性。最后,利用可拓聚类和聚类图理论实现产品族内部的稳定模块和可变模块的划分。该方法已应用于冰箱原型系统设计。
To deal with mass knowledge with contrary precondition in product family configuration planning more efficiently, a product family configuration planning model was proposed based on extension logic, which consisted of customer requirement acquisition, extension transforming and extension cluster to solve the problems of configuration requirement dynamical increase, configuration threshold value determination, and conflict-resolving. Firstly, the basic requirement elements for a series product were confirmed by conjugating analysis, and the mapping relationship between requirement and product family structure feature was constructed. Then by applying extension rule reasoning, a series of product could satisfy the customers' requirements were obtained from qualitative perspective. Secondly, the basic requirement element was transferred by transfer matrix, and it was output again by customer to calculate the tolerance with the initial basic requirement element. Then the transformation feasibility was determined by the configuration threshold value, which was gotten dynamically by improved genetic algorithm. Finally, the stable module and changeable module in product family were defined by using extension cluster and cluster graph. This method was applied in fridge configuration prototype system design.