Study Of Functional Features Of Furniture And Equipment In The Design Of Recreation Of Children’s Polyclinics

Ekaterinushkina, A. V.; Zhdanova, N S; Mishukovskaya, Ju I

doi:10.1088/1757-899x/463/3/032028

Cited by 2 publications

(1 citation statement)

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“…Ekaterinushkina et al [17] pointed out that the furnituremakers in economically developed areas of China have optimized the structural decoration form and production mode of their products, using new production techniques and equipment, and developed towards high-tech modern manufacturing and management. Mineno et al [18] suggested that the modern, large-scale and specialized production of green furniture must rely on high and new techniques, such as raw material demand plan, green manufacturing resource plan, flexible integrated intelligent manufacturing system, and digital design assistant system.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation Model for Green Manufacturing Quality of Children’s Furniture Based on Artificial Intelligence

Huang¹

2020

IJDNE

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With the differentiation of the furniture market, there is a growing demand for children’s furniture. The design of children’s furniture must fully consider the special cognition and preference of children, highlight environmental friendliness and health, and benefit the physical and mental development of children. These design objectives are similar to those of green furniture. Therefore, it is necessary to accurately evaluate the quality of green manufacturing, the key link of green furniture production, with the aid of the excellent data processing technique of artificial intelligence (AI). Thus, this paper summarizes the AI applications in quality testing of children’s furniture and statistical analysis on its greenness, and constructs an evaluation model for green manufacturing quality of children’s furniture. Firstly, the authors introduced the architecture of the green manufacturing system for children’s furniture, and analyzed the product lifecycle and environmental pollutions. On this basis, a complete and scientific evaluation index system (EIS) was constructed. Next, the weight coefficients of the goal layer and criteria layer were determined by the entropy method, and the initial evaluation result were provided. Finally, a comprehensive evaluation model was established for the green manufacturing quality of children’s furniture, based on backpropagation neural network (BPNN), and genetic algorithm with adaptive mutation (AMGA). The proposed EIS and model were proved effective through experiments. The research results provide a reference for the quality evaluation in other fields.

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Section: Introductionmentioning

confidence: 99%

An Evaluation Model for Green Manufacturing Quality of Children’s Furniture Based on Artificial Intelligence

Huang¹

2020

IJDNE

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Research on Children’s Customized Furniture Design Based on Group Technology

Xiong

2021

Applied Sciences

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Recently, solid wood furniture has become the new direction for the development of Chinese furniture industry. In order to realize solid wood customization, the standardization of solid wood parts is a problem for high priority. In this study, a standardized experimental study on children’s solid wood furniture parts was carried out by using group technology. Twenty pieces of children’s solid wood furniture were selected, including 1084 parts in total with 705 solid wood parts. Then, three key structural features of the parts were analyzed based on the processing similarity principle, including the center line of the long side direction of the parts, the shape of the outside surface of the long side direction and the shape of the outside surface of the short side direction. Moreover, these parts were classified according to the principle of process similarity. Accordingly, a children’s solid wood furniture parts family was established, and the distribution of parts in the family was analyzed. In detail, the parts with the dimensional difference within 2 mm were combined, the dimensional value was mainly based on the value of most parts before the combination and part specifications were optimized on the basis of the original specifications or its 1/2 method. The results show that the category of thickness specification reduced by 20, and the number of parts included in one thickness specification increased by 2.2 times on average. Moreover, the category of width specification reduced by 12, and the number of parts included in one width specification increased by 1.47 times on average. This not only greatly improves the degree of standardization of solid wood parts but also provides theoretical and practical basis for the digital design of mass customized children’s solid wood furniture.

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Study Of Functional Features Of Furniture And Equipment In The Design Of Recreation Of Children’s Polyclinics

Cited by 2 publications

References 0 publications

An Evaluation Model for Green Manufacturing Quality of Children’s Furniture Based on Artificial Intelligence

An Evaluation Model for Green Manufacturing Quality of Children’s Furniture Based on Artificial Intelligence

Research on Children’s Customized Furniture Design Based on Group Technology

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