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

Yu, Zeyuan; Zhao, Wei; Guo, Xin; Hu, Huicong; Fu, Chuan; Liu, Ying

doi:10.3390/pr10020303

Cited by 10 publications

(6 citation statements)

References 59 publications

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“…By analyzing the different combination forms of functional technology paths, feasible functional solutions are determined. Finally, multi-level fuzzy comprehensive evaluation methods such as the AHP method, entropy weight method, and grey correlation analysis method are combined to determine the final scheme of the rehabilitation chair [14][15][16][17][18]. The specific steps are shown in Figure 1.…”

Section: Design Methodologymentioning

confidence: 99%

Development of a Rehabilitation Chair Design Based on a Functional Technology Matrix and Multilevel Evaluation Methods

Yang,

Zhang

2023

Applied Sciences

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In order to meet the diversified rehabilitation needs of people, it is necessary to design a product for the active rehabilitation of patients. Existing rehabilitation chairs use intelligent massage, which can cause problems such as large massage areas, inability to massage locally, large chair size, and inability to meet the continuous use of the damaged parts. In this paper, the modular design method and multi-layer evaluation method are used to solve the problems related to rehabilitation chairs. The authors use the questionnaire survey method and the functional technology matrix method to determine the functional requirements of the rehabilitation chair, and then use the multilevel evaluation methods, including the AHP method, entropy weight method, and grey correlation analysis, to optimize the functional solutions of the rehabilitation chair, and finally obtain a chair for the rehabilitation of patients with upper and lower limb disorders. Problems such as the generalization of rehabilitation scope and non-durable use of components were solved, and the purpose of active exercise was achieved. This study verifies that the use of the multilevel decision evaluation method can effectively improve the efficiency of program decision-making and provides a theoretical and practical basis for the design of similar products.

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Section: Design Methodologymentioning

confidence: 99%

Development of a Rehabilitation Chair Design Based on a Functional Technology Matrix and Multilevel Evaluation Methods

Yang,

Zhang

2023

Applied Sciences

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“…They proposed a new method to obtain useful online reviews from e-commerce platforms, constructed a product evaluation index system, and proposed product improvement strategies for online reviews. Yu et al [12] believed that decision making occurs at all stages of product design, and proposed using multi-index decision making to improve the continuity and efficiency of product design and to solve problems in the product design process. Multiattribute decision making (MADM) is a widely used method to select an optimal choice from a limited number of alternatives based on multiple attributes [13,14].…”

Section: Related Workmentioning

confidence: 99%

“…The degree of deviation between expert E 1 's evaluation and user needs can be calculated using Formula (6), as shown in Table 7. The normalization coefficient λ = 15.9246 can be calculated using Formula (12). Subsequently, the total correlation matrix T can be calculated using Equations ( 13), (14), and (19), as shown in Table 8.…”

mentioning

confidence: 99%

A Sustainable Iterative Product Design Method Based on Considering User Needs from Online Reviews

Wang

2023

Sustainability

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Small and medium-sized manufacturing industries can use online reviews to add valuable user requirements, enabling them to iteratively and precisely upgrade their products based on user needs. However, a sustainable, iterative approach to product design requires the integration of a large amount of information about user requirements for accurate selection. Currently, product iterations are primarily focused on developing new solutions or upgrading a few components with little screening to see if the product iterations meet user needs. This leads to a large number of wasted resources and a shortened product lifecycle. To address these challenges, this paper proposes a sustainable iterative research method that mines user needs and provides comprehensive decision making for product design based on online reviews, using probabilistic semantic term sets (PLTS). The proposed method considers the hesitation and uncertainty among evaluating experts regarding indicators, and uses the decision-making trial and evaluation laboratory (DEMATEL) method to analyze the correlations between demand indicators. The DEMATEL correlation function is improved by reconstructing the PLTS acquisition score function and deviance into a DEMATEL correlation function, in the form of exact values using an improved binary semantic approach. This iterative design approach provides accurate feedback on how users feel about the use of product components and ensures that most product components are sustainably recycled. A drone case study is presented to demonstrate the feasibility of this approach. In-depth interviews with experts confirm that this approach is more sustainable and provides a new research methodology for sustainable iterative product design.

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“…Generally, the PDDM process involves assessing and determining the optimal product on the basis of judgements and preferences of product design schemes provided by several decision-makers with respect to a set of attributes [3], which belongs to a typical multicriteria group decision-making (GDM) problem. Product design schemes are evaluated against criteria such as feasibility, cost-effectiveness, user desirability, and alignment with business goals.…”

Section: Introductionmentioning

confidence: 99%

Research on Multistage Heterogeneous Information Fusion of Product Design Decision-Making Based on Axiomatic Design

Yang,

Zuo,

Zhang

et al. 2024

Systems

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The product design process, fraught with uncertainties and ambiguities in its requirements and constraints, commonly traverses multiple stages, each emphasizing distinct design aspects. This engenders heterogeneity in decision-making criteria, rendering the effective integration of information from various stages of product design decision-making (PDDM) a pivotal task in identifying the optimal design solution. Surprisingly, limited research has attended to the challenge of consolidating such heterogeneous information across multiple PDDM stages. To bridge this gap, our study employs real numbers, interval numbers, and linguistic terms to capture the heterogeneous judgments of decision-makers. We fuse the Maximization Deviation Method with the analytic hierarchy process (AHP) for determining indicators’ weights, while decision-makers’ weights are derived through a dual consideration of uncertainty measure using fuzzy entropy and a distance-minimization model applied to the PDDM matrix for achieving consistency. Leveraging the advantage of axiomatic design, product design alternatives are evaluated based on their PDDM information content of PDDM matrices. Given the multistage nature of product design, stages’ weights are computed by assessing the information content and consistency degree of PDDM matrices at each stage. Ultimately, our approach achieves multistage heterogeneous decision-making fusion in product design through information axiom weighting. A case study involving the decision-making process for a specific numerical control machine design illustrates the efficacy of our method in integrating multistage heterogeneous PDDM data, yielding a comprehensive perspective on the viability of product design schemes. Results show that the ranking sequence of the product design schemes solidifies to x3 > x2 > x1 in stages 2 and 3 of PDDM, diverging from the initial order observed in stage 1 (x2 > x3 > x1), while the fused result from the multistage heterogeneous PDDM analysis aligns with the later stages’ rankings, indicating the credibility and persuasiveness are fortified. This methodology thus offers a robust framework for synthesizing and navigating the uncertainties and complexities inherent in multistage heterogeneous PDDM contexts.

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

Cited by 10 publications

References 59 publications

Development of a Rehabilitation Chair Design Based on a Functional Technology Matrix and Multilevel Evaluation Methods

Development of a Rehabilitation Chair Design Based on a Functional Technology Matrix and Multilevel Evaluation Methods

A Sustainable Iterative Product Design Method Based on Considering User Needs from Online Reviews

Research on Multistage Heterogeneous Information Fusion of Product Design Decision-Making Based on Axiomatic Design

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