Multi-Indicators Decision for Product Design Solutions: A TOPSIS-MOGA Integrated Model

Design decisions occur in all phases of product design and largely affect the merits of the final solution, which will ultimately determine the success or failure of the product in the market. Product design is a continuous process, and a large number of existing studies have proposed decision metho...

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Veröffentlicht in:Processes 2022-02, Vol.10 (2), p.303
Hauptverfasser: Yu, Zeyuan, Zhao, Wu, Guo, Xin, Hu, Huicong, Fu, Chuan, Liu, Ying
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Hu, Huicong
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description Design decisions occur in all phases of product design and largely affect the merits of the final solution, which will ultimately determine the success or failure of the product in the market. Product design is a continuous process, and a large number of existing studies have proposed decision methods and decision indicators for the characteristics of different stages of design. These methods and indicators can meet the requirements of one of the phases: demand analysis, conceptual design, or detailed design. However, further research can still be conducted on the integration of methods throughout the design phase, using intelligent design methods, and improving the design continuity and efficiency. To address this problem, a TOPSIS-MOGA-based multi-indicators decision model for product design solutions is proposed, including its product design process, decision algorithm, and selection method. First, a TOPSIS-MOGA integrated model for conceptual design and detailed design process is established, the continuity of decision-making methods is achieved by integrating decision indicators. Second, conceptual design solutions are selected through the technique for order of preference by similarity to ideal solution (TOPSIS), based on hesitant fuzzy linguistic term sets and entropy weight method. Finally, detailed design solutions are selected through a multiobjective genetic algorithm (MOGA), based on a polynomial-based response surface model and central combination experimental design method. A case study of the decision-making in the design of high-voltage electric power fittings is presented, the conceptual design phase and the detailed design phase are connected through the indicators, which demonstrates that the proposed approach is helpful in the decision-making of the product design solutions.
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source MDPI - Multidisciplinary Digital Publishing Institute; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Algorithms
Case studies
Decision making
Demand analysis
Design improvements
Design of experiments
Design techniques
Efficiency
Entropy
Fuzzy sets
Genetic algorithms
Indicators
Knowledge
Mathematical models
Methods
Multiple objective analysis
Polynomials
Product design
Product development
Production planning
Requirements analysis
Response surface methodology
title Multi-Indicators Decision for Product Design Solutions: A TOPSIS-MOGA Integrated Model
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