IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2023i1p1-d1302701.html
   My bibliography  Save this article

AHP and GCA Combined Approach to Green Design Evaluation of Kindergarten Furniture

Author

Listed:
  • Xiaojie Xie

    (College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China
    Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing 210037, China)

  • Jiangang Zhu

    (College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China
    Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, Nanjing 210037, China)

  • Sheng Ding

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

  • Jingjing Chen

    (College of Art and Design, Nanjing Audit University Jinshen College, Nanjing 210023, China)

Abstract

Kindergarten furniture is an important part of children’s furniture. However, in sharp contrast with the high level of concern about the color, shape, structure, and modularity of kindergarten furniture, the research on green design and green evaluation of kindergarten furniture has not been given due attention. Through understanding the concept and principles of green design, this paper presents an objective approach to evaluate the green design of kindergarten furniture. An evaluation method based on the analytic hierarchy process (AHP) integrating gray correlation analysis (GCA) for kindergarten furniture green design was proposed. By using the AHP to determine the green design elements of kindergarten furniture, five standard layer indicators were obtained in aspects of environmental friendliness of the materials, color, technological structure, size, and interestingness, as well as 11 criterion layer indicators: environmental friendliness of structural materials, environmental friendliness of adhesives, environmental friendliness of paint, stimulate creativity or enhance concentration, avoid the feelings of unsteadiness, structural stability, rounding the edges, comfortable to use, size adjustable, interesting decorative patterns, and modular. Afterward, GCA was used to evaluate the green design of five kindergarten furniture schemes and a comprehensive evaluation score was obtained. Taking the design scheme represented by five desk and chair sets in kindergarten as an example, the effectiveness of this method was verified, and the advantages and disadvantages of the five desk and chair sets were analyzed and compared. The results showed that the third desk and chair sets at kindergarten made of New Zealand pine ranks first in the comprehensive green evaluation indicators, followed by the fourth sets made of rubber and wood. After the green design evaluation, we studied the carbon footprint of five furniture products and analyzed their carbon emissions at the production stage, the packaging stage, the transportation stage, and the storage stage. The results show that the amount of carbon emission is generally consistent with the evaluation results of the green scheme, which verifies the effectiveness of the green design evaluation method. This study provides an effective and feasible reference for kindergarten furniture designers. Hence, a greener kindergarten furniture design is expected to improve the learning and living environment for kindergarten-age children.

Suggested Citation

  • Xiaojie Xie & Jiangang Zhu & Sheng Ding & Jingjing Chen, 2023. "AHP and GCA Combined Approach to Green Design Evaluation of Kindergarten Furniture," Sustainability, MDPI, vol. 16(1), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:1-:d:1302701
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/1/1/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/1/1/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yaolin Wang & Chenyang Liu & Xi Zhang & Shaoting Zeng, 2023. "Research on Sustainable Furniture Design Based on Waste Textiles Recycling," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    2. Yongfeng Pu & Fangwu Ma & Lu Han & Guowang Wang, 2020. "Material Selection of Green Design Processes for Car Body via considering Environment Property," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-8, March.
    3. Wang, Rutian & Wen, Xiangyun & Wang, Xiuyun & Fu, Yanbo & Zhang, Yu, 2022. "Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading," Applied Energy, Elsevier, vol. 311(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiaqi Wu & Qian Zhang & Yangdong Lu & Tianxi Qin & Jianyong Bai, 2023. "Source-Load Coordinated Low-Carbon Economic Dispatch of Microgrid including Electric Vehicles," Sustainability, MDPI, vol. 15(21), pages 1-21, October.
    2. Zhang, Zhonglian & Yang, Xiaohui & Li, Moxuan & Deng, Fuwei & Xiao, Riying & Mei, Linghao & Hu, Zecheng, 2023. "Optimal configuration of improved dynamic carbon neutral energy systems based on hybrid energy storage and market incentives," Energy, Elsevier, vol. 284(C).
    3. Jiyong Li & Zeyi Hua & Lin Tian & Peiwen Chen & Hao Dong, 2024. "Optimal Capacity Allocation for Life Cycle Multiobjective Integrated Energy Systems Considering Capacity Tariffs and Eco-Indicator 99," Sustainability, MDPI, vol. 16(20), pages 1-22, October.
    4. Lei Yao & Chongtao Bai & Hao Fu & Suhua Lou & Yan Fu, 2023. "Optimization of Expressway Microgrid Construction Mode and Capacity Configuration Considering Carbon Trading," Energies, MDPI, vol. 16(18), pages 1-17, September.
    5. Wenwei Hou & Fan Liu & Yanqin Zhang & Jiaying Dong & Shumeng Lin & Minhua Wang, 2024. "Research Progress and Hotspot Analysis of Low-Carbon Landscapes Based on CiteSpace Analysis," Sustainability, MDPI, vol. 16(17), pages 1-24, September.
    6. Zhichao Ma & Jie Zhang & Huanhuan Wang & Shaochan Gao, 2023. "Optimization of Sustainable Bi-Objective Cold-Chain Logistics Route Considering Carbon Emissions and Customers’ Immediate Demands in China," Sustainability, MDPI, vol. 15(7), pages 1-23, March.
    7. Liang, Chao & Goodell, John W. & Li, Xiafei, 2024. "Impacts of carbon market and climate policy uncertainties on financial and economic stability: Evidence from connectedness network analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
    8. Wang, Haibing & Zhao, Anjie & Khan, Muhammad Qasim & Sun, Weiqing, 2024. "Optimal operation of energy hub considering reward-punishment ladder carbon trading and electrothermal demand coupling," Energy, Elsevier, vol. 286(C).
    9. Yang, Xiaohui & Zhang, Zhonglian & Mei, Linghao & Wang, Xiaopeng & Deng, Yeheng & Wei, Shi & Liu, Xiaoping, 2023. "Optimal configuration of improved integrated energy system based on stepped carbon penalty response and improved power to gas," Energy, Elsevier, vol. 263(PD).
    10. Xu, Jiazhu & Yi, Yuqin, 2023. "Multi-microgrid low-carbon economy operation strategy considering both source and load uncertainty: A Nash bargaining approach," Energy, Elsevier, vol. 263(PB).
    11. Liu, Dewen & Luo, Zhao & Qin, Jinghui & Wang, Hua & Wang, Gang & Li, Zhao & Zhao, Weijie & Shen, Xin, 2023. "Low-carbon dispatch of multi-district integrated energy systems considering carbon emission trading and green certificate trading," Renewable Energy, Elsevier, vol. 218(C).
    12. Yao, Wenliang & Wang, Chengfu & Yang, Ming & Wang, Kang & Dong, Xiaoming & Zhang, Zhenwei, 2023. "A tri-layer decision-making framework for IES considering the interaction of integrated demand response and multi-energy market clearing," Applied Energy, Elsevier, vol. 342(C).
    13. Zhang, Zhonglian & Yang, Xiaohui & Yang, Li & Wang, Zhaojun & Huang, Zezhong & Wang, Xiaopeng & Mei, Linghao, 2023. "Optimal configuration of double carbon energy system considering climate change," Energy, Elsevier, vol. 283(C).
    14. Ling Zhu & Yuqi Yan & Jiufang Lv, 2023. "A Bibliometric Analysis of Current Knowledge Structure and Research Progress Related to Sustainable Furniture Design Systems," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    15. Junpei Nan & Jieran Feng & Xu Deng & Chao Wang & Ke Sun & Hao Zhou, 2022. "Hierarchical Low-Carbon Economic Dispatch with Source-Load Bilateral Carbon-Trading Based on Aumann–Shapley Method," Energies, MDPI, vol. 15(15), pages 1-17, July.
    16. Du, Dajun & Zhu, Minggao & Wu, Dakui & Li, Xue & Fei, Minrui & Hu, Yukun & Li, Kang, 2024. "Distributed security state estimation-based carbon emissions and economic cost analysis for cyber–physical power systems under hybrid attacks," Applied Energy, Elsevier, vol. 353(PA).
    17. Ye, Jianan & Xie, Min & Zhang, Shiping & Huang, Ying & Liu, Mingbo & Wang, Qiong, 2023. "Stochastic optimal scheduling of electricity–hydrogen enriched compressed natural gas urban integrated energy system," Renewable Energy, Elsevier, vol. 211(C), pages 1024-1044.
    18. Ankang Miao & Yue Yuan & Yi Huang & Han Wu & Chao Feng, 2023. "Stochastic Optimization Model of Capacity Configuration for Integrated Energy Production System Considering Source-Load Uncertainty," Sustainability, MDPI, vol. 15(19), pages 1-22, September.
    19. Wu, Jianzhao & Zhang, Chaoyong & Giam, Amanda & Chia, Hou Yi & Cao, Huajun & Ge, Wenjun & Yan, Wentao, 2024. "Physics-assisted transfer learning metamodels to predict bead geometry and carbon emission in laser butt welding," Applied Energy, Elsevier, vol. 359(C).
    20. Liang, Ziwen & Mu, Longhua, 2024. "Multi-agent low-carbon optimal dispatch of regional integrated energy system based on mixed game theory," Energy, Elsevier, vol. 295(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:1-:d:1302701. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.