Using hybrid MCDM techniques to evaluate the resilience and sustainability of aquatic products global supply chain
Under the restructuring of global industrial chains, enhancing the resilience and sustainability of aquatic products supply chains has become a critical priority for industrial upgrading. These supply chains face mounting challenges from environmental pressures, public health incidents, market volatility, and shifting policy landscapes. Adopting a synergistic perspective that integrates resilience and sustainability, this study develops a comprehensive evaluation indicator system encompassing seven dimensions: production, processing, circulation, sales, consumption, external environment, and services. Through the Delphi method, the Best–Worst Method (BWM), and fuzzy comprehensive evaluation, eight key indicators are identified, including Scientific Control of Aquatic Products Catching and Feeding (A2), Inventory Quality Assurance and Adjustment (D2), Policy and Regulations (F1), and Logistics Technology Level (C2). An empirical assessment of three representative enterprises—Company A (China Aquatic), Company B (ASIASEA Group), and Company C (Dalian Zhihui Fishery Group)—demonstrates that Company A achieves the highest comprehensive score (87.76, rated as strong), while Company B (81.23) and Company C (77.42) are both rated as relatively strong. Comparative analysis reveals differentiated weaknesses, such as logistics digitalization gaps and market negotiation limitations, leading to targeted recommendations in upstream production optimization, logistics technology investment, policy engagement, and market capability enhancement. This research contributes to the literature by establishing an empirically validated, multidimensional framework for assessing and guiding the coordinated upgrading of global aquatic products supply chains, offering actionable insights for both practitioners and policymakers.
Authors
- Yadan Zhao
- Yang Song
- Fang Zhang
- Zhiyuan Sun
Institutions
- Dalian University of Foreign Languages (CN)
- Dalian Neusoft University of Information (CN)
Publication Details
- Journal
- Frontiers in Marine Science
- Published
- 2026-02-16
- DOI
- https://doi.org/10.3389/fmars.2026.1750254
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00