A holistic method of complex product development based on a neural network-aided technological evolution system

Wang, Kang; Tan, Runhua; Peng, Qingjin; Wang, Fanfan; Shao, Peng; Gao, Zhuoli

doi:10.1016/j.aei.2021.101294

Cited by 21 publications

(6 citation statements)

References 66 publications

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“…This was validated by Ref. [ 81 ] which illustrated that there is a dire need to increase research on TRIZ and neural networks to accommodate the collection of training data and to create synergy between neural networks and TRIZ. This study presents the techniques and algorithms that have been applied in some areas but are yet to be applied comprehensively.…”

Section: Resultsmentioning

confidence: 90%

“… Technology assessment with combination of tech mining and semantic TRIZ [ 80 ] TRIZ Functional Bibliometric Analysis WoS, PatStat Syntactic-Semantic TRIZ-Based Tool (Gold Fire) Tech Mining Expert Judgment A55. A holistic method for the development of complex products [ 81 ] Evolution Law Granted Patent NLPIR Parser Artificial Neural Networks (ANN) Kendall's coefficient, Accuracy, Expert Judgment A56. Apply NLP and AI to retrieve information for Inverse Problem Graph (IPG) [ 82 ] Inventive Design Method (IDM) Springer, Science Direct, IEEE Xplore Tokenization, Stop words, Doc2Vec, Cosine Similarity – F1-score A57.…”

Section: Data Extraction and Analysismentioning

confidence: 99%

See 1 more Smart Citation

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Ghane,

Ang,

Cavallucci

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 90%

Section: Data Extraction and Analysismentioning

confidence: 99%

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Ghane,

Ang,

Cavallucci

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…Yet, there are dimensions that are not as clear cut. The creativity required to solve a design problem is one that is well regarded within the literature, (Ahmadinejad and Afshar, 2011;Barbalho et al, 2019;Bolaños and Barbalho, 2021;Frenken, 2006;Maurer, 2017 Eppinger, 2001;Pugh, 1991;Wang et al, 2021;Weber, 2005) and relates directly to the features of the intended design. However, this is viewed in the context of the abilities of design teams.…”

Section: Measuring Product Complexitymentioning

confidence: 99%

“…Ahmadinejad and Afshar (2011),Barbalho et al (2019), Bolañosa and Barbalhob (2021),Frenken (2006), Mauer (2017),Novak and Eppinger (2001),Pugh (1991),Pugh (1991),Shah and Runger (2013) ,Wang et al (2021),Weber (2005) …”

mentioning

confidence: 99%

Dimensions of Product Complexity From Designers’ Perspectives

Holliman

2023

Proc. Des. Soc.

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The perceived complexity of a product (product complexity) is doubtless an influential phenomenon in a design project. Insight into this factor and how it can be measured, is key to understanding its influence, supporting project planning and resource demand estimation. Opinions on product complexity vary greatly, with many definitions, scales and techniques to measure product complexity available; many of which draw their conclusions from engineering design research. Yet the field of product (or industrial) design companies, whose designers work across a vast range of product types, from domestic to industrial remains under researched. These designers have a tacit understanding of many influences over their projects, of which product complexity is one.This paper presents an analysis of the dimensions (or measures) of product complexity found in literature and compares its findings to the measures defined by practicing product designers. This paper will demonstrate the process used to identify these dimensions and the scales developed to assess product complexity in a practical way and will make conclusions on the perspectives held on product complexity by product designers.

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“…Based on its applications in competitive fields, the contesting power of a company to the competitiveness of the country was observed in Ülengin et al (2011Ülengin et al ( ), Önsel Ekici et al (2016, Kolkova (2020), Lou et al (2020), Rahmat and Sen (2021). The implementation of this network in the fields related to the increase in product innovation was also found by Kinne and Kinne and Lenz (2021), Wang et al (2021), Y. Li et al (2021), Alves and Martins Oliveira (2020), Novia et al (2020), Noppakorn Klintong, (2017).…”

Section: Artificial Neural Network (Ann)mentioning

confidence: 90%

A Conceptual Framework for Innovation Product and Marketing Strategy at Precast Construction Company in Indonesia to Increase Competitiveness Using SWOT and Neural Network Model

Proceedings of the International Conference on Industrial Engineering and Operations Management

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The competitiveness of national infrastructure is influenced by the strength of the precast concrete industry, leading to the need for its productivity to be boosted. Although many interminable challenges have been unfolding, the domestic precast concrete companies are presently attempting to penetrate the foreign markets through thorough preparation, specifically in organizational competitiveness. This is due to their potential competition with a wider market, compared to the domestic. The number of foreign construction companies, specifically precast concrete services, also continues to grow in the Indonesian domestic market and largely occupy business fields, due to the low competitiveness of local organizations, which has been identified as a future potential threat. Therefore, this study aims to analyze the competitiveness of local companies in the Indonesian domestic market. This needs to be highly evaluated as well as importantly and carefully planned to avoid low organizational competitive levels. A qualitative method was used with SWOT analysis and neural network mapping, which were supported by previous literature. The results show that precast products and marketing strategies should be able to have long-term planning in achieving market size, for the minimization of external threats.

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A holistic method of complex product development based on a neural network-aided technological evolution system

Cited by 21 publications

References 66 publications

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Semantic TRIZ feasibility in technology development, innovation, and production: A systematic review

Dimensions of Product Complexity From Designers’ Perspectives

A Conceptual Framework for Innovation Product and Marketing Strategy at Precast Construction Company in Indonesia to Increase Competitiveness Using SWOT and Neural Network Model

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