Simultaneous optimization of the design of the product, process, and supply chain for formulated product

“…The change in working methods has improved work efficiency while enhancing design quality and developing standard controllable design specifications [6][7]. In process product design, with the gradual increase in computer involvement, there is bound to be an increased reliance on computers, requiring designers to be provided with software that conforms to the user's operating habits to complete the design [8][9].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the application of computer-aided design in industrial product design based on

2023

Applied Mathematics and Nonlinear Sciences

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The purpose of exploring the application of computer-aided design technology in industrial product design is to realize the diversification of industrial product design and meet the personalized customization needs of customers. Starting from computer-aided technology, this paper illustrates the optimization of CAD design by using a genetic algorithm and constructs a bipolar progressive interactive genetic algorithm using bipolar progressive ranking and fuzzy fitness jointly. Genetic algorithm genotypes in CAD process product design are defined, and a comparative evaluation experimental analysis of industrial product design is performed with the AR-IGA algorithm. Regarding the number of iterations, the average number of iterations for the AR-IGA algorithm to complete the color-matching design of process products among ten testers was 9.34, which was 36.42% lower than that of the TIGA algorithm. The average evaluation elapsed time of the AR-IGA algorithm was 246.9s, which was 24.12% less than the average evaluation elapsed time of the TIGA algorithm. This shows that computer-aided technology optimized by genetic algorithms can effectively improve the efficiency of industrial product design and satisfy more customers to realize personalized design simultaneously.

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High Level Petri Nets Application for Reliability Visualization on Multi Echelon Supply Chain

Esmaeeli

Aleahmad

2021

Communications in Computer and Information Science

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Simultaneous optimization of the design of the product, process, and supply chain for formulated product

Cited by 5 publications

References 27 publications

Accelerating manufacturing for biomass conversion via integrated process and bench digitalization: a perspective

Accelerating manufacturing for biomass conversion via integrated process and bench digitalization: a perspective

Analysis of the application of computer-aided design in industrial product design based on

High Level Petri Nets Application for Reliability Visualization on Multi Echelon Supply Chain

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