IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v268y2024ics0925527323003493.html
   My bibliography  Save this article

Green manufacturing performance improvement under uncertainties: An interrelationship hierarchical model

Author

Listed:
  • Bui, Tat-Dat
  • Nguyen, Thi Tuong Vy
  • Wu, Kuo-Jui
  • Lim, Ming K.
  • Tseng, Ming-Lang

Abstract

Green manufacturing is a developing industrial trend that addresses environmental issues and has a long-term, realistic, and sustainable future. However, previous studies involving the attributes that are essential for green manufacturing performance improvement, particularly, in the textile industry, are lacking. Identifying a set of green manufacturing attributes and hierarchical causal interrelationships that deliver insights into performance improvement under uncertainties is necessary. Hence, this study aims to create a reliable hierarchical model and to identify the causal interrelationships between green manufacturing attributes using a hybrid approach consisting of the fuzzy Delphi method (FDM), fuzzy decision-making trial and evaluation laboratory (FDEMATEL), and analytic network process (ANP). The green manufacturing model, which includes five aspects and 23 criteria, is verified. Green operational practices, government policy and environmental management constitute the group that strongly affects manufacturing performance. In terms of practices, manufacturers should focus on clean technology, green processes, lifecycle management, waste recycling, and textile waste generation and management. These criteria will help the textile industry in Vietnam to become more sustainable and environmentally friendly since the most important criteria involve realizing green manufacturing.

Suggested Citation

  • Bui, Tat-Dat & Nguyen, Thi Tuong Vy & Wu, Kuo-Jui & Lim, Ming K. & Tseng, Ming-Lang, 2024. "Green manufacturing performance improvement under uncertainties: An interrelationship hierarchical model," International Journal of Production Economics, Elsevier, vol. 268(C).
    • Handle: RePEc:eee:proeco:v:268:y:2024:i:c:s0925527323003493
    DOI: 10.1016/j.ijpe.2023.109117
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527323003493
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2023.109117?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhu, Zhaohui & Tan, Yafei, 2022. "Can green industrial policy promote green innovation in heavily polluting enterprises? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 59-75.
    2. Orji, Ifeyinwa Juliet & Liu, Shaoxuan, 2020. "A dynamic perspective on the key drivers of innovation-led lean approaches to achieve sustainability in manufacturing supply chain," International Journal of Production Economics, Elsevier, vol. 219(C), pages 480-496.
    3. Xuerou Sheng & Leping Chen & Xueliang Yuan & Yuzhou Tang & Qian Yuan & Rong Chen & Qingsong Wang & Qiao Ma & Jian Zuo & Hongwei Liu, 2023. "Green supply chain management for a more sustainable manufacturing industry in China: a critical review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1151-1183, February.
    4. Barman, Abhijit & De, Pijus Kanti & Chakraborty, Ashis Kumar & Lim, Chee Peng & Das, Rubi, 2023. "Optimal pricing policy in a three-layer dual-channel supply chain under government subsidy in green manufacturing," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 204(C), pages 401-429.
    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. Xiaorui Wang & Shen Hu, 2024. "How do organizations in Chinese agriculture perceive sustainability certification schemes? An exploratory analysis," Development Policy Review, Overseas Development Institute, vol. 42(3), May.
    2. Kusi-Sarpong, Simonov & Orji, Ifeyinwa Juliet & Gupta, Himanshu & Kunc, Martin, 2021. "Risks associated with the implementation of big data analytics in sustainable supply chains," Omega, Elsevier, vol. 105(C).
    3. Arpit Singh & Ashish Dwivedi & Dindayal Agrawal & Surajit Bag & Anurag Chauhan, 2024. "Can sustainable and digital objectives synchronize? A study of ESG activities for digital supply chains using multi‐methods," Business Strategy and the Environment, Wiley Blackwell, vol. 33(8), pages 8413-8435, December.
    4. Chukwuebuka M. U-Dominic & Ifeyinwa Juliet Orji & Modestus Okwu, 2021. "Analyzing the Barriers to Reverse Logistics (RL) Implementation: A Hybrid Model Based on IF-DEMATEL-EDAS," Sustainability, MDPI, vol. 13(19), pages 1-24, September.
    5. Bing Liu & Bailin He & Jiaxu Zhou & Xueyan Chen & Haiyan Duan & Zhiyuan Duan, 2024. "Driving Factors and Control Strategies of the Environmental Pollution Litigation Cases in China," Sustainability, MDPI, vol. 16(22), pages 1-13, November.
    6. You, Chen & Cifuentes-Faura, Javier & Liu, Xiaoqian & Wu, Jinqun, 2024. "Can the government environmental vertical reform reduce air pollution? A quasi-natural experiment in China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 947-963.
    7. Xuelong Zhang & Yuxin Xu & Xiaofan Chen & Jiuying Liang, 2023. "Pricing Decision Models of Manufacturer-Led Dual-Channel Supply Chain with Free-Rider Problem," Sustainability, MDPI, vol. 15(5), pages 1-20, February.
    8. Xue, Jiashun & Poon, Jessie & Yang, Yu & Ji, Qiang, 2024. "Effect of green industrial policy on China's outward renewable energy investment," Energy Economics, Elsevier, vol. 138(C).
    9. Chen, Zan & Jin, Jun & Li, Meng, 2022. "Does media coverage influence firm green innovation? The moderating role of regional environment," Technology in Society, Elsevier, vol. 70(C).
    10. Yin, Hongying & Qian, Yuting & Zhang, Bin & Pérez, Rebeca, 2023. "Urban construction and firm green innovation: Evidence from China's low-carbon pilot city initiative," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    11. Huang, Xiulu & Wang, Xiaoyu & Ge, Pengfei, 2024. "Selective industrial policy and innovation resource misallocation," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 124-146.
    12. Yong Qi & Yanan Tang & Tingting Bai, 2024. "Impact of smart city pilot policy on heterogeneous green innovation: micro-evidence from Chinese listed enterprises," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-27, April.
    13. Chunrong Yan & Xintian Xiang & Liping Li & Guoxiang Li, 2023. "Environmental Credit Constraints and the Enterprise Choice of Environmental Protection Behavior," Sustainability, MDPI, vol. 15(24), pages 1-24, December.
    14. Siqi Li & Mengdi Sun, 2024. "Spillover effects of government subsidies on outward foreign direct investment: Evidence from China," Review of International Economics, Wiley Blackwell, vol. 32(4), pages 1521-1566, September.
    15. Fu, Xiuwen & Xu, Xiaojie & Li, Wenfeng, 2024. "Cascading failure resilience analysis and recovery of automotive manufacturing supply chain networks considering enterprise roles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    16. Yang, Zhenbing & Zhao, Ziyi & Shao, Shuai & Yang, Lili, 2023. "Carbon regulation and enterprise investment: Evidence from China," Energy Economics, Elsevier, vol. 128(C).
    17. Chih-Hung Hsu & Ru-Yue Yu & An-Yuan Chang & Wan-Ling Liu & An-Ching Sun, 2022. "Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks," Mathematics, MDPI, vol. 10(4), pages 1-41, February.
    18. Tao, Chang-Qi & Yi, Meng-Ying & Wang, Chang-Song, 2023. "Coupling coordination analysis and Spatiotemporal heterogeneity between data elements and green development in China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 1-15.
    19. Bai, Caiquan & Xie, Dongshui & Zhang, Yuwei, 2024. "Industrial land transfer and enterprise pollution emissions: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 181-194.
    20. Abid Haleem & Shahbaz Khan & Sunil Luthra & Harshit Varshney & Musaib Alam & Mohd Imran Khan, 2021. "Supplier evaluation in the context of circular economy: A forward step for resilient business and environment concern," Business Strategy and the Environment, Wiley Blackwell, vol. 30(4), pages 2119-2146, May.

    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:eee:proeco:v:268:y:2024:i:c:s0925527323003493. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.