Supply chain disruption mitigation strategies to advance future research agenda: A systematic literature review

Sudan, Tapas; Taggar, Rashi; Jena, Pabitra Kumar; Sharma, Deepika

doi:10.1016/j.jclepro.2023.138643

Cited by 19 publications

(7 citation statements)

References 151 publications

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“…The current body of literature often focuses on individual SCR determinants, such as backup suppliers, visibility, digitalization, flexible allocations and rerouting strategies [ 77 – 79 ], but there is limited research on how these determinants are interrelated across various industries. For example, a study by Shekarian & Mellat Parast [ 80 ] primarily considers only four factors as the enhancers of SCR namely flexibility, agility, collaboration and redundancy ignoring the other diverse determinants of SCR.…”

Section: Literature Reviewmentioning

confidence: 99%

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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: Literature Reviewmentioning

confidence: 99%

Section: Research Gaps and Contributionsmentioning

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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“…According to Chauhan et al [40], this may be recommended for future firm sustainability and profitability expansion. However, with the implementation of automation and technology, businesses now maintain improved inventory management, shorter lead times, and guaranteed product availability [41] to reduce excess inventory, shorten lead times, and increase order fulfillment efficiency [9].…”

Section: Fluctuating Demand and Disruptions In The Pandemicmentioning

confidence: 99%

“…Moreover, real-time monitoring and self-diagnosis in industrial settings are made possible by the advent of Industry 4.0 technologies, such as artificial intelligence (AI) and the Internet of Things (IoT) [42]. However, Sudan et al [9] emphasized that, even after considering the benefits of digitization, the ultimate objective is to move away from reactive maintenance practices and toward proactive, data-driven strategies that will reduce manufacturing downtime costs and increase overall productivity.…”

Section: Production Downtime Automation and Digitization In Supply Ch...mentioning

confidence: 99%

“…These disruptions have made clear how important it is to have flexible, agile supply networks to adjust to unexpected difficulties [8]. Hence, with digitization, new metrics and models are being developed to assess the resilience of supply networks to unexpected shocks, protect product availability, and reduce production downtime [9]. In this case, research explores how artificial intelligence, blockchain, and Internet of Things (IoT) applications can improve real-time visibility, risk management, and decision making during disruptions [10].…”

Section: Introductionmentioning

confidence: 99%

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Digital-Era Resilience: Navigating Logistics and Supply Chain Operations after COVID-19

Kashem,

Shamsuddoha,

Nasir

2024

Businesses

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The COVID-19 pandemic has highlighted the need for a paradigm shift in supply chain and logistics operations to respond to myriad disruptions. However, this paradigm shift has changed the supply chain to be more resilient, agile, flexible, and adaptable to upcoming disruptions. Hence, a comprehensive guide to understanding, implementing, and harnessing the power of digitization in the face of disruption, leading to a more resilient and adaptive global community, is greatly appreciated. Thus, this study aims to identify the strategies used in the complex and dynamic nature of the contemporary supply chain landscape for these disruptions. Among several strategies adopted and proposed, this systematic review examines overall efficiency and operational resilience, particularly supplier diversification, investment in digital supply chain technology, and adopting flexible manufacturing models. Following a rigorous four-step identification, screening, qualification, and inclusion process, this review focuses on real-time visibility, robust risk management, and data-driven decision making to determine whether future disruptions under digitization are conducive. Therefore, this systematic review, along with these enhanced resilience strategies, will provide a comprehensive resource for practitioners, policymakers, and researchers seeking to navigate and improve logistics and supply chain operations in the face of future disruptions.

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Challenges in Achieving Artificial Intelligence in Agriculture

Atapattu,

Perera,

Nuwarapaksha

et al. 2024

Artificial Intelligence Techniques in Smart Agriculture

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Supply chain disruption mitigation strategies to advance future research agenda: A systematic literature review

Cited by 19 publications

References 151 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

Digital-Era Resilience: Navigating Logistics and Supply Chain Operations after COVID-19

Challenges in Achieving Artificial Intelligence in Agriculture

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