Dynamic planning of module for product family design

Aiming at the module planning problem in product family design, the modular theory and implementation methods of core systems for product family were researched, and a variety of dynamic elements in product life cycle were analyzed. According to the influence of market factors' dynamic changes such as core system components on modular planning, a dynamic planning method for module product family was proposed from the maintainability and economic point of view. Through the establishment of functional and dynamic correlation matrix, the components in matrix were clustered by using fuzzy clustering method. The core system of product family was divided into multiple sub-function modules with proper α cut-set. The components of modular were analyzed dynamically and the components with higher evaluation value were extracted by combining the dynamic correlation weights, which could provide a theoretical basis for the design phase and reduce the maintenance cost of products. The effectiveness and feasibility of the method was proved by module planning of hydraulic transmission system and post-maintenance data of loaders.