Research of Product Design Evaluation Based on Informational Engineering Models

Qin Bao Sun; Kai Shang; Mei Yu Lin

doi:10.4028/www.scientific.net/AMR.549.1026

Paper Titles

Detection of Weld Seam Position Based on Infrared Image during High Power Fiber Laser Welding
p.1007

Data Process for Reverse Engineering Technology
p.1012

Analysis of Steel Bar Surface Defects Based on Machine Vision
p.1017

The Development Mode of Mechanical and Electrical Products 3D Part Library
p.1021

Research of Product Design Evaluation Based on Informational Engineering Models
p.1026

Application of Low-Position Vacuum Deaerator in Steam Injection Boiler Supply Water Deaeration in Oil Fields
p.1032

Study on Laser Ignition Characteristics of NEPE Propellant
p.1037

Development of Standard Part Library Based on SolidWorks
p.1041

State of the Art in Rapid Prototyping
p.1046

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 549Research of Product Design Evaluation Based on...

Research of Product Design Evaluation Based on Informational Engineering Models

Abstract:

Decisive factors of the product design, such as shape, color, materials, structure, function, man-machine relationship, cannot be quantified, or they are "gray" in nature. This paper first applies the gray statistical methods to analyze the data of the indicators. Due to the difficulty in determining the index weight in the evaluation, we consolidated the indicators based on DEA Informational models, and concluded comprehensive results for various designs.