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Designing a resilient-sustainable integrated broiler supply chain network using multiple sourcing and backup facility strategies dealing with uncertainties in a disruptive network: A real case of a chicken meat network
•Designing resilient model enhancing the sustainability of the broiler supply chain.•Demonstrating strategies to fortify the chain against potential disruptions.•Solving the presented model by goal programming and the ε-constraint approaches.•Demonstrating the robustness of the proposed model under...
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Published in: | Computers & chemical engineering 2024-09, Vol.188, p.108772, Article 108772 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | •Designing resilient model enhancing the sustainability of the broiler supply chain.•Demonstrating strategies to fortify the chain against potential disruptions.•Solving the presented model by goal programming and the ε-constraint approaches.•Demonstrating the robustness of the proposed model under various circumstances.•Controlling uncertainty with robust optimization and stochastic programming.
Increasing supply and demand uncertainty, coupled with unforeseen disruptions, pose challenges to the resilience of today's critical sectors in the global food industry, including the broiler supply chain. This study introduces a resilient model to enhance the sustainability and resilience of the broiler supply chain in the face of uncertainties and disruptions. The model integrates backup facilities and employs multiple sourcing strategies to reinforce resilience. Using mixed integer linear programming with bi-objective, multi-period, and multi-product features, the model aims to minimize carbon dioxide (CO2) emissions from transportation while maximizing overall supply chain profit. The goal programming, and the ε-constraint methods optimize decision-making and yield Pareto solutions, achieving a balanced approach to conflicting objectives. Also, robust optimization and stochastic programming provide practical solutions for handling uncertainties. Validation and sensitivity analysis confirm that the proposed model optimizes the broiler supply chain, enhancing resilience, sustainability, and profitability. |
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ISSN: | 0098-1354 1873-4375 |
DOI: | 10.1016/j.compchemeng.2024.108772 |