Optimization and selection of the multi-objective conceptual design scheme for considering product assembly, manufacturing and cost

Conceptual design is the crucial stage of selecting and determining product composition and configuration, which greatly affects product performance and cost. In conceptual design stage, designers have the maximum design freedom in order to put forward to the optimal design solution in terms of asse...

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Vydané v:	SN applied sciences Ročník 4; číslo 4; s. 91 - 12
Hlavní autori:	Li, Congdong, Wu, Run, Yang, Weiming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.04.2022 Springer Nature B.V Springer
Predmet:	Applied and Technical Physics Assembly Centrifugal compressors Chemistry/Food Science Conceptual design Cost analysis Decision analysis Decision making Decomposition Design Design for X Design techniques Designers Earth Sciences Engineering Environment Genetic algorithms Heuristic Manufacturing Materials Science Methods Morphology Multi-objective optimization Multi-objective selection Multiple criteria decision making Multiple objective analysis Optimization Product design Review Paper Multi-objective optimization Design for X Conceptual design Multi-objective selection
ISSN:	2523-3963, 2523-3971
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Abstract	Conceptual design is the crucial stage of selecting and determining product composition and configuration, which greatly affects product performance and cost. In conceptual design stage, designers have the maximum design freedom in order to put forward to the optimal design solution in terms of assembly, manufacturing and cost. However, the above product aspects are analyzed independently in current industry, and a guided decision-making method based on multi-objective criteria is missing. Therefore, it is necessary to introduce a multi-objective analysis method to obtain an optimal conceptual scheme considering various aspects of product. Due to the complexity of product conceptual solution generation, this study divides the multi-objective analysis process into multi-objective solution optimization and multi-objective solution selection. The non-dominated solution set can be obtained from all the potential solutions in the former step. Then, the optimal conceptual solution can be obtained from the non-dominated solutions set in the latter step. The two-stage multi-objective analysis method has two advantages: (1) large dominated solutions can be quickly eliminated which can reduce the workload of solution selection; (2) TOPSIS method is easy to implement, which can work with attribute weights and scores of each design option. Finally, using the conceptual design of a centrifugal compressor as an example, the method's availability and practicality are demonstrated.
AbstractList	Conceptual design is the crucial stage of selecting and determining product composition and configuration, which greatly affects product performance and cost. In conceptual design stage, designers have the maximum design freedom in order to put forward to the optimal design solution in terms of assembly, manufacturing and cost. However, the above product aspects are analyzed independently in current industry, and a guided decision-making method based on multi-objective criteria is missing. Therefore, it is necessary to introduce a multi-objective analysis method to obtain an optimal conceptual scheme considering various aspects of product. Due to the complexity of product conceptual solution generation, this study divides the multi-objective analysis process into multi-objective solution optimization and multi-objective solution selection. The non-dominated solution set can be obtained from all the potential solutions in the former step. Then, the optimal conceptual solution can be obtained from the non-dominated solutions set in the latter step. The two-stage multi-objective analysis method has two advantages: (1) large dominated solutions can be quickly eliminated which can reduce the workload of solution selection; (2) TOPSIS method is easy to implement, which can work with attribute weights and scores of each design option. Finally, using the conceptual design of a centrifugal compressor as an example, the method's availability and practicality are demonstrated. Abstract Conceptual design is the crucial stage of selecting and determining product composition and configuration, which greatly affects product performance and cost. In conceptual design stage, designers have the maximum design freedom in order to put forward to the optimal design solution in terms of assembly, manufacturing and cost. However, the above product aspects are analyzed independently in current industry, and a guided decision-making method based on multi-objective criteria is missing. Therefore, it is necessary to introduce a multi-objective analysis method to obtain an optimal conceptual scheme considering various aspects of product. Due to the complexity of product conceptual solution generation, this study divides the multi-objective analysis process into multi-objective solution optimization and multi-objective solution selection. The non-dominated solution set can be obtained from all the potential solutions in the former step. Then, the optimal conceptual solution can be obtained from the non-dominated solutions set in the latter step. The two-stage multi-objective analysis method has two advantages: (1) large dominated solutions can be quickly eliminated which can reduce the workload of solution selection; (2) TOPSIS method is easy to implement, which can work with attribute weights and scores of each design option. Finally, using the conceptual design of a centrifugal compressor as an example, the method's availability and practicality are demonstrated.
ArticleNumber	91
Author	Wu, Run Yang, Weiming Li, Congdong
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SubjectTerms	Applied and Technical Physics Assembly Centrifugal compressors Chemistry/Food Science Conceptual design Cost analysis Decision analysis Decision making Decomposition Design Design for X Design techniques Designers Earth Sciences Engineering Environment Genetic algorithms Heuristic Manufacturing Materials Science Methods Morphology Multi-objective optimization Multi-objective selection Multiple criteria decision making Multiple objective analysis Optimization Product design Review Paper
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Title	Optimization and selection of the multi-objective conceptual design scheme for considering product assembly, manufacturing and cost
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