Configurable product design considering the transition of multi-hierarchical models |
| |
Authors: | REN Bin QIU Lemiao ZHANG Shuyou TAN Jianrong CHENG Jin |
| |
Affiliation: | State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China |
| |
Abstract: | The current research of configurable product design mainly focuses on how to convert a predefined set of components into a valid set of product structures. With the scale and complexity of configurable products increasing, the interdependencies between customer demands and product structures grow up as well. The result is that existing product structures fails to satisfy the individual customer requirements and hence product variants are needed. This paper is aimed to build a bridge between customer demands and product structures in order to make demand-driven fast response design feasible. First of all, multi-hierarchical models of configurable product design are established with customer demand model, technical requirement model and product structure model. Then, the transition of multi-hierarchical models among customer demand model, technical requirement model and product structure model is solved with fuzzy analytic hierarchy process (FAHP) and the algorithm of multi-level matching. Finally, optimal structure according to the customer demands is obtained with the calculation of Euclidean distance and similarity of some cases. In practice, the configuration design of a clamping unit of injection molding machine successfully performs an optimal search strategy for the product variants with reasonable satisfaction to individual customer demands. The proposed method can automatically generate a configuration design with better alternatives for each product structures, and shorten the time of finding the configuration of a product. |
| |
Keywords: | configuration design optimal strategy variant design multi-hierarchical models |
本文献已被 CNKI 万方数据 SpringerLink 等数据库收录! |
|