Designing a sustainable fish closed-loop supply chain network under uncertainty.

Content Provider	Europe PMC
Author	Fasihi, Maedeh Tavakkoli-Moghaddam, Reza Hajiaghaei-Keshteli, Mostafa Najafi, S. Esmaeil
Abstract	There is increasing attention to the sustainable development of supply chain (SC) and reverse logistics (RL) in the contemporary competitive economy, notably in the food sector, by scholars and stakeholders. This study investigates a sustainable closed-loop supply chain (CLSC) for fish due to its high value in the family food basket, its perishability, and the importance of waste product recycling. A multi-objective mathematical model is developed under uncertainty and sustainability criteria to optimize production rates with the aim of better distribution among different demand markets, total costs, social issues, and negative environmental effects (e.g., CO2 emissions and unused/waste products). A combination of exact, meta-heuristic, and hybrid meta-heuristic algorithms are used to solve the suggested model. Then, the optimal solutions are found using the Taguchi method by evaluating the best initial replies. The solutions are evaluated based on various performance metrics. The analysis of variance (ANOVA) and the “filtering/displaced ideal solution” methods determine the best solution approach. Moreover, a case study with a trout CLSC in Northern Iran is examined. In addition, the Lingo software utilizes the ε-constraint method to evaluate and check the performance of the algorithms under different levels of uncertainty. Finally, sensitivity analyses are carried out to confirm the efficacy of the proposed algorithms. The findings demonstrate the proposed network’s outstanding consistency with the algorithms used and its application and efficiency.
ISSN	09441344
Volume Number	30
PubMed Central reference number	PMC10105162
Issue Number	39
PubMed reference number	37060409
Journal	Environmental Science and Pollution Research International [Environ Sci Pollut Res Int]
e-ISSN	16147499
DOI	10.1007/s11356-023-25877-x
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2023-04-15
Publisher Place	Berlin/Heidelberg
Access Restriction	Open
Rights License	This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
Subject Keyword	Fish closed-loop supply chain Reverse logistics Multi-objective model Meta-heuristic algorithms Sustainability Uncertainty
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Pollution Health, Toxicology and Mutagenesis Medicine