Navigating Uncertainty: Cutting-Edge Approaches in Process Control and Monitoring for Risk Mitigation in Supply Chain Management

In today’s dynamic and uncertain environment, supply chains are increasingly vulnerable to disruptions that can negatively impact operational efficiency, cost management, and customer satisfaction. Ensuring supply chain resilience and continuity has become a critical challenge for businesses. This review addresses the pressing issue of supply chain risk management by evaluating cutting-edge solutions that enhance visibility, agility, and responsiveness. Through a comprehensive analysis of literature from 2009 to 2024, sourced from Web of Science, Scopus, and Google Scholar, this study identifies key methodologies, technologies, and frameworks designed to mitigate supply chain risks. The findings of the study highlight the revolutionary potential of IoT sensors, machine learning algorithms, and digital twins for proactive risk assessment and mitigation, offering a pathway to safeguard supply networks in the face of uncertainty.

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Published
2024-11-06
DOI
https://doi.org/10.3390/engproc2024067074
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1
Primary Topic
Supply Chain Resilience and Risk Management
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article
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0.55
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Navigating Uncertainty: Cutting-Edge Approaches in Process Control and Monitoring for Risk Mitigation in Supply Chain Management

M.L. Meena, G.S. Dangayach, Yogesh Mishra, Prabir Sarkar et al.
1 citations
Supply Chain Resilience and Risk Management
0.55
article

Navigating Uncertainty: Cutting-Edge Approaches in Process Control and Monitoring for Risk Mitigation in Supply Chain Management

M.L. Meena, G.S. Dangayach, Yogesh Mishra, Prabir Sarkar, Alok Bihari Singh, Chandni Dusad
article en
1 citations

Abstract

In today’s dynamic and uncertain environment, supply chains are increasingly vulnerable to disruptions that can negatively impact operational efficiency, cost management, and customer satisfaction. Ensuring supply chain resilience and continuity has become a critical challenge for businesses. This review addresses the pressing issue of supply chain risk management by evaluating cutting-edge solutions that enhance visibility, agility, and responsiveness. Through a comprehensive analysis of literature from 2009 to 2024, sourced from Web of Science, Scopus, and Google Scholar, this study identifies key methodologies, technologies, and frameworks designed to mitigate supply chain risks. The findings of the study highlight the revolutionary potential of IoT sensors, machine learning algorithms, and digital twins for proactive risk assessment and mitigation, offering a pathway to safeguard supply networks in the face of uncertainty.

Indian Institute of Technology Ropar (IN), University of Engineering & Management (IN), Manipal Academy of Higher Education (IN), Vivekananda Global University (IN), Graphic Era University (IN), Malaviya National Institute of Technology Jaipur (IN)
Climate action
Openalex Percentile: Top 21%
Supply Chain Resilience and Risk Management
0.55
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Navigating Uncertainty: Cutting-Edge Approaches in Process Control and Monitoring for Risk Mitigation in Supply Chain Management — M.L. Meena, G.S. Dangayach, et al. · (2024) | TGRS Research Map | TGRS