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Reliability evaluation and optimization of supply chain resilience.

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Title: Reliability evaluation and optimization of supply chain resilience.
Authors: Yeh, Cheng-Ta1 (AUTHOR) 145712@mail.fju.edu.tw, Huang, Ding-Hsiang2 (AUTHOR) dhhuang@thu.edu.tw
Source: Annals of Operations Research. Jun2026, Vol. 361 Issue 3, p1053-1057. 5p.
Subjects: Supply chain disruptions, Reliability in engineering, Artificial intelligence, Sustainability, Digital technology, Risk assessment, Mathematical optimization
Abstract: This article focuses on recent research advances in supply chain resilience, emphasizing reliability evaluation and optimization amid disruptions such as pandemics and geopolitical tensions. It summarizes 24 studies grouped into five themes: reliability evaluation and network performance, resilient supply chain design and optimization, disruption modeling and risk analysis, sustainable and green supply chain resilience, and digital technologies for intelligent decision support. The research highlights the integration of uncertainty, sustainability, and emerging digital technologies like artificial intelligence and blockchain to enhance supply chain adaptability and robustness. These contributions provide a comprehensive foundation for improving supply chain continuity and decision-making under uncertainty in complex global environments. [Extracted from the article]
Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Reliability evaluation and optimization of supply chain resilience.
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  Data: <searchLink fieldCode="AR" term="%22Yeh%2C+Cheng-Ta%22">Yeh, Cheng-Ta</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 145712@mail.fju.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Huang%2C+Ding-Hsiang%22">Huang, Ding-Hsiang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> dhhuang@thu.edu.tw</i>
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>. Jun2026, Vol. 361 Issue 3, p1053-1057. 5p.
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  Data: <searchLink fieldCode="DE" term="%22Supply+chain+disruptions%22">Supply chain disruptions</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
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  Data: This article focuses on recent research advances in supply chain resilience, emphasizing reliability evaluation and optimization amid disruptions such as pandemics and geopolitical tensions. It summarizes 24 studies grouped into five themes: reliability evaluation and network performance, resilient supply chain design and optimization, disruption modeling and risk analysis, sustainable and green supply chain resilience, and digital technologies for intelligent decision support. The research highlights the integration of uncertainty, sustainability, and emerging digital technologies like artificial intelligence and blockchain to enhance supply chain adaptability and robustness. These contributions provide a comprehensive foundation for improving supply chain continuity and decision-making under uncertainty in complex global environments. [Extracted from the article]
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  Data: <i>Copyright of Annals of Operations Research is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10479-026-07238-2
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        Text: English
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        PageCount: 5
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    Subjects:
      – SubjectFull: Supply chain disruptions
        Type: general
      – SubjectFull: Reliability in engineering
        Type: general
      – SubjectFull: Artificial intelligence
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      – SubjectFull: Sustainability
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      – SubjectFull: Digital technology
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      – SubjectFull: Risk assessment
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      – SubjectFull: Mathematical optimization
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              Text: Jun2026
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              Y: 2026
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