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Green manufacturing performance improvement under uncertainties: An interrelationship hierarchical model

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  • 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
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    References listed on IDEAS

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    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. 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.
    4. 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.
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    1. Sadiq, Muhammad & Nawaz, Muhammad Atif & Sharif, Arshian & Hanif, Sobia, 2024. "Bridging green supply chain practices and environmental performance in Chinese semiconductor sector: With the role of energy efficiency and green HRM," International Journal of Production Economics, Elsevier, vol. 277(C).

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