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Growing Science » Decision Science Letters » A novel multi-objective stochastic model and a novel hybrid metaheuristic for designing supply chain network under disruption risks to enhance supply chain resilience

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 13 Issue 4 pp. 921-950 , 2024

A novel multi-objective stochastic model and a novel hybrid metaheuristic for designing supply chain network under disruption risks to enhance supply chain resilience Pages 921-950 Right click to download the paper Download PDF

Authors: Mohammad Mahdi Vali-Siar, Hanieh Shekarabi, Emad Roghanian

DOI: 10.5267/j.dsl.2024.7.005

Keywords: Supply chain network design, Disruption risks, Resilience, Metaheuristics, Environmental sustainability

Abstract: Supply chains are vulnerable to various disruption risks that can adversely affect their overall performance and objectives. This study addresses the challenge of designing a resilient and environmentally sustainable mixed open and closed-loop supply chain network that can withstand both operational and disruption risks. The research employs a bi-objective stochastic mathematical model to examine the balance between environmental sustainability and profitability within the SC. To mitigate the impact of disruptions, several resilience strategies are incorporated into the model, significantly reducing their adverse effects. Due to the inherent complexity of the problem, the study introduces a novel hybrid metaheuristic algorithm that combines ant colony optimization with teaching and learning-based optimization, named ACO-TLBO. Additionally, two other enhanced hybrid metaheuristics are proposed. The performance of these solution methods is assessed through various test problems, using specific performance metrics for comparison. Results reveal that the ACO-TLBO algorithm excels in generating high-quality, non-dominated solutions. The model's practical applicability is demonstrated through a case study in the tire industry, validating its effectiveness. The findings indicate that the proposed resilience strategies are crucial for minimizing the negative impacts of disruptions on SC objectives. Furthermore, the results underscore the importance of resilience in maintaining both sustainability and profitability within supply chains.

How to cite this paper
Vali-Siar, M., Shekarabi, H & Roghanian, E. (2024). A novel multi-objective stochastic model and a novel hybrid metaheuristic for designing supply chain network under disruption risks to enhance supply chain resilience.Decision Science Letters , 13(4), 921-950.

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Journal: Decision Science Letters | Year: 2024 | Volume: 13 | Issue: 4 | Views: 1583 | Reviews: 0

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