Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era

Moadab, Amirhossein; Kordi, Ghazale; Paydar, Mohammad Mahdi; Divsalar, Ali; Hajiaghaei–Keshteli, Mostafa

doi:10.1016/j.eswa.2023.120334

Cited by 18 publications

(1 citation statement)

References 75 publications

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“…Managers need to ensure open lines of communication (D21), collaboration (D11), and contingency planning (D14) with stakeholders to ensure a reliable and responsive SC. The COVID-19 pandemic exemplifies the significance of responsiveness in building a resilient SC [ 100 , 101 ]. Companies that were agile, adaptable, and quick to respond to changing circumstances were better positioned to overcome disruptions, meet customer needs, and maintain business continuity [ 99 , 102 ].…”

Section: Contribution and Implicationsmentioning

confidence: 99%

Key determinants to supply chain resilience to face pandemic disruption: An interpretive triple helix framework

Amio,

Ahmed,

Ali

et al. 2024

PLoS ONE

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Today, supply chain (SC) networks are facing more disruptions compared to the past. While disruptions are rare, they can have catastrophic long-term economic or societal repercussions, and the recovery processes can be lengthy. These can tremendously affect the SC and make it vulnerable, as observed during the COVID-19 pandemic. The identification of these concerns has prompted the demand for improved disruption management by developing resilient, agile, and adaptive SC. The aim of this study is to introduce an assessment framework for prioritizing and evaluating the determinants to supply chain resilience (SCR). To analyze the empirical data, fuzzy criteria importance through intercriteria correlation (fuzzy CRITIC) and fuzzy technique for order of preference by similarity to ideal solution (fuzzy TOPSIS) have been incorporated. Fuzzy CRITIC method was used to identify the critical determinants and fuzzy TOPSIS method was applied for determining relative ranking of some real-world companies. Finally, by developing propositions an interpretive triple helix framework was proposed to achieve SCR. This research stands out for its originality in both methodology and implications. By introducing the novel combination of Fuzzy CRITIC and Fuzzy TOPSIS in the assessment of determinants to SCR and applying these determinants with the help of interpretive triple helix framework to establish a resilient SC, this study offers a unique and valuable contribution to the field of SCR. The key findings suggest that ‘Responsiveness’ followed by ‘Managerial coordination and information integration’ are the most significant determinant to achieve SCR. The outcome of this work can assist the managers to achieve SCR with improved agility and adaptivity.

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Section: Contribution and Implicationsmentioning

confidence: 99%

Key determinants to supply chain resilience to face pandemic disruption: An interpretive triple helix framework

Amio,

Ahmed,

Ali

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

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A multi-period multi-season multi-objective mathematical model for guaranteeing the viability of supply chains under fluctuations: a healthcare closed-loop supply chain application

Hussaini,

Nemati,

Paydar

2023

Ann Oper Res

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Designing a reliable-sustainable supply chain network: adaptive m-objective ε-constraint method

Sepehri,

Tirkolaee,

Simic

et al. 2024

Ann Oper Res

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In the current era emphasizing sustainability and circularity, supply chain network design is a critical challenge for making reliable decisions. The optimization of facility location-allocation inventory problems (FLAIPs) holds the key to achieving dependable product delivery with reduced costs and carbon emissions. Despite the importance of these challenges, a substantial research gap exists regarding economic, reliability, and sustainability criteria for FLAIPs. This paper aims to fill this gap by introducing a multi-objective mixed-integer linear programming model, focusing on configuring a reliable sustainable supply chain network. The model addresses three key objectives: minimizing costs, minimizing emissions, and maximizing reliability. A notable contribution of this research lies in elaborating on five levels of a supply chain network catering to the delivery of multiple products across various periods. Another novelty is the simultaneous incorporation of economic, environmental, and reliability objectives in the network design—a facet rarely addressed in prior research. Results highlight that varying demand levels for each facility lead to altered trade-offs between objectives, empowering practitioners to make diverse decisions in facility location allocation. The proposed mathematical model undergoes validation through numerical examples and sensitivity analysis of parameters. The paper concludes by presenting theoretical and managerial implications, contributing valuable insights to the field of sustainable supply chains.

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Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era

Cited by 18 publications

References 75 publications

Key determinants to supply chain resilience to face pandemic disruption: An interpretive triple helix framework

Key determinants to supply chain resilience to face pandemic disruption: An interpretive triple helix framework

A multi-period multi-season multi-objective mathematical model for guaranteeing the viability of supply chains under fluctuations: a healthcare closed-loop supply chain application

Designing a reliable-sustainable supply chain network: adaptive m-objective ε-constraint method

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