Abstract
Converting customer needs into specific forms and providing consumers with services are crucial in product design. Currently, conversion is no longer difficult due to the development of modern technology, and various measures can be applied for product realization, thus increasing the complexity of analysis and evaluation in the design process. The focus of the design process has thus shifted from problem solving to minimizing the total amount of information content. This paper presents a New Hybrid Axiomatic Design (AD) Methodology based on iteratively matching and merging design parameters that meet the independence axiom and attribute constraints by applying trimming technology, the ideal final results, and technology evolution theory. The proposed method minimizes the total amount of information content and improves the design quality. Finally, a case study of a rehabilitation robot design for hemiplegic patients is presented. The results indicate that the iterative matching and merging of related attributes can minimize the total amount of information content, reduce the cost, and improve design efficiency. Additionally, evolutionary technology prediction can ensure product novelty and improve market competitiveness. The methodology provides an excellent way to design a new (or improved) product.
Highlights
With the development of technology, an increasing number of technical measures have become available to solve engineering problems
The methodology described below was proposed to improve the traditional axiomatic design and minimize the total amount of information content under the premise of satisfying the independence axiom constraint based on Axiomatic Design (AD) theory, the trimming technique, the ideal final results (IFRs), and technology evolution theory
Many scholars have performed extensive research to enrich and perfect the related theory. These studies did not focus on minimizing the total amount of information content, which is important for improving system ideality and customer experience
Summary
With the development of technology, an increasing number of technical measures have become available to solve engineering problems. 2 Methodology To meet customer requirements and improve customer satisfaction, designers need to find the best designs among the alternative designs by continuously considering the principle, effect and structure of design parameters to achieve specific functions. The methodology described below was proposed to improve the traditional axiomatic design and minimize the total amount of information content under the premise of satisfying the independence axiom constraint based on AD theory, the trimming technique, the ideal final results (IFRs), and technology evolution theory. The IFRs achieve the most significant degree of self-service (self-realization, self-delivery, and self-control) in the case of a minimal change in the system This theory can help improve the existing technical system by considering the solution to the problem and obtaining an optimal solution by overcoming traditional boundaries and seeking new technical methods. An operational model is constructed to help designers conveniently use the proposed method in product design, as shown in Figure 2 (we propose a hybrid algorithm that includes mapping, zigzagging, and iterative matching and merging based on DPs, as shown in Appendix)
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