Industrial Design Capability Evaluation System under Cloud Service Model

Abstract

This study focuses on the problem that the multiobjective optimization decision-making process of the design scheme under the cloud service model fails to fully consider the needs of users’ diversity, due to the lack of research on quantitative modeling and evaluation methods of designers’ ability. It affects the reasonable matching between complex design tasks and design ability and hinders the socialized aggregation of design ability. Based on the competency model, facing the industrial designers in the cloud manufacturing model, our paper constructs the design capability evaluation system from the perspectives of Yuan Shengren capability, industry technology competency, design task competency, and learning capability competency and discusses the design capability evaluation method based on a network analysis method. Through the design capability evaluation of the industrial design cloud service platform, feasibility and scientificity of the method in this paper are verified. This paper proposes a design scheme optimization decision-making method combining quality function configuration and rough set theory. Based on the analysis of the cloud service model, this method introduces the design decision-making process model of user participation and fuzzy evaluation mechanism to carry out cluster analysis and the intelligent transformation of user requirements. A design scheme evaluation index system oriented to user requirements is established, and the importance of design scheme evaluation indexes in the process of networked collaborative design is accurately quantified. Following the principle of combining scientificity and systematicness, a third-order decision-making model for design scheme optimization under the cloud service model is proposed. The model is solved by combining the rough set theory and rough approximation ideal solution.