A function-oriented biologically analogical approach for constructing the design concept of smart product in Industry 4.0

Cao, Guozhong; Sun, Yindi; Tan, Runhua; Zhang, Jinpu; Liu, Wei

doi:10.1016/j.aei.2021.101352

Cited by 30 publications

(11 citation statements)

References 70 publications

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“…Supports have been developed regarding the mind maps to generate nodes (Chen and Krishnamurthy 2020) and organise these into categories (Camburn et al 2020a). In the absence of user needs, scholars have proposed various approaches to initiate design opportunities from technology maps (Trappey et al 2014; Luo, Yan, and Wood 2017) and biomimicry strategies (Vandevenne et al 2016; Cao et al 2021). The approaches to design opportunity identification could also lend themselves to widening strategies such as keyword expansion (Linsey, Markman, and Wood 2012; Sarica et al 2021) and concept exploration (Han et al 2018b; Goucher-Lambert et al 2020).…”

Section: Discussionmentioning

confidence: 99%

Natural language processing in-and-for design research

2022

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We review the scholarly contributions that utilise natural language processing (NLP) techniques to support the design process. Using a heuristic approach, we gathered 223 articles that are published in 32 journals within the period 1991–present. We present state-of-the-art NLP in-and-for design research by reviewing these articles according to the type of natural language text sources: internal reports, design concepts, discourse transcripts, technical publications, consumer opinions and others. Upon summarising and identifying the gaps in these contributions, we utilise an existing design innovation framework to identify the applications that are currently being supported by NLP. We then propose a few methodological and theoretical directions for future NLP in-and-for design research.

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Section: Discussionmentioning

confidence: 99%

Natural language processing in-and-for design research

2022

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“…Step 3. The CV and economic RVMs of the PSSs were normalized using Equation (9). The solution values relative to P10, E5, E6, and E8 were then converted into utility values to obtain the normalized rough value matrices associated with the CV and economic value, NRM p and NRM E , as expressed in Equations ( 23) and (24).…”

Section: Calculation Of Objective Weights Of CV and Economic Criteria...mentioning

confidence: 99%

“…To select the optimal PSS solution, it is necessary to have accurate evaluation criteria weights and holistically consider the value of each PSS conceptual solution across all criteria. A plethora of weighting models have been used to calculate evaluation criteria weights, such as the analytical network process (ANP) [8], analytic hierarchy process (AHP) [9], and quality function deployment (QFD) [10]. These methods are based on the matrix construction method, and the decision-makers (DMs) can make subjective judgment among the criteria to obtain the subjective weight of these criteria [1].…”

Section: Introductionmentioning

confidence: 99%

Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective

Feng

Jiang

et al. 2021

Applied Sciences

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The product service system (PSS), as a design concept for integrated products and services, needs to be evaluated in the early design stage to maximize the value for stakeholders of the PSS concept, which is a crucial task for enterprises. However, existing methods focus on the ranking and value assessment of PSS evaluation criteria (e.g., quality, sustainability, cost), ignoring the needs conflict between customer value and economic objectives in PSS design, resulting in decision results that are not applicable to industrial enterprises. Furthermore, the influence of weight preference and uncertain information on solution evaluation is seldom considered when calculating the weight of each criterion. To fill this gap, integrating rough sets and the Shapley value decision approach for product-service system design considering customer value-economic objective trade-off is proposed, which mainly includes two parts: firstly, the best worst method (BWM) and the entropy weight method are integrated to obtain the comprehensive weight of evaluation criteria in the customer value and economic objectives; secondly, the Shapley value method in the coalition game is used to solve the optimal expectation allocation of the two objectives, so as to select the solution closest to the allocation, i.e., the optimal solution. In addition, rough set techniques are used to capture and integrate subjective assessment information originating from DMs under uncertainty. Finally, a case study of the electric forklift design is illustrated to verify the proposed decision model. The decision results show that this approach is more reliable through sensitivity and comparison analysis, and provide a valuable recommendation for enterprises to consider product service in forklift design.

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“…With the rapid development of science and technology in recent decades, technology has become an important basic technology in the development of new industrial products. At present, computer-aided technology software is a powerful tool for designers to break the thinking pattern and broaden the ideas in the conceptual design stage of products in different fields and put forward effective design schemes with high quality [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Design Method of Product Concept Model Based on CAD Technology

Meng

2022

Scientific Programming

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With the comprehensive development of information technology, the continuous optimization of products can make enterprises stand in the market. Various industries are involved in the upsurge of computer-enabling products; computer-aided (CAD) technology has also been rapid development. CAD technology is composed of problem analysis, innovative method, problem transformation and problem-solving invention principle, standard solution, and so on. In this paper, the theoretical system, basic scheme, and solving algorithm of CAD technology are described in detail. Meanwhile, the content of value evaluation and root cause analysis is analyzed and solved to further illustrate the application process of CAD technology optimization products and gradually form a more perfect application method of CAD innovation technology so that its solution process is more scientific, operable, and universal.

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A function-oriented biologically analogical approach for constructing the design concept of smart product in Industry 4.0

Cited by 30 publications

References 70 publications

Natural language processing in-and-for design research

Natural language processing in-and-for design research

Conceptual Solution Decision Based on Rough Sets and Shapley Value for Product-Service System: Customer Value-Economic Objective Trade-Off Perspective

Design Method of Product Concept Model Based on CAD Technology

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