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Seafood closed-loop supply chain network design

Authors: Hamza Chokri; Issam Nouaouri; Hamid Allaoui; Frida Ben Rais Lasram;

Seafood closed-loop supply chain network design

Abstract

In recent years, there has been an increased demand for fish and seafood, highlighting the essential role of fish protein as a primary source of animal protein consumption in various regions worldwide. Seafood plays a crucial role in supporting future food security needs. However, the seafood industry generates a significant amount of waste, posing challenges in its proper management. The seafood supply chain is complex due to the involvement of multiple actors and the numerous flows between them. To address this issue, this paper proposes an efficient multi-echelon closed-loop seafood supply chain network (CLSC). This network is designed to globally oversee the seafood supply chain and its associated waste generated by its actors, showing that the waste generated by end customers is essential for creating added value to the seafood supply chain, which can be further utilized by other industries. Implementing this network helps reduce overall operational costs by introducing a novel mixed-integer linear programming (MILP) mathematical model aimed at minimizing total costs, including facility operating expenses and transportation costs. The application of this model is demonstrated through tested scenarios with various dimensions. The results of this analysis illustrate the promising outcomes of employing the proposed model.

Country
France
Keywords

[SDE] Environmental Sciences, [INFO] Computer Science [cs]

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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