Strengthening Global Supply Chain Resilience through Predictive Analytics and Adaptive Risk-Based Sourcing
Keywords:
Supply Chain Resilience, Predictive Analytics, Risk-Based Sourcing, Disruption Management, Adaptive Sourcing StrategiesAbstract
Global supply chains have faced unprecedented disruptions in recent years due to events such as the COVID-19 pandemic, geopolitical tensions, and climate change. This paper explores how predictive analytics and adaptive risk-based sourcing can be leveraged to enhance supply chain resilience. By analyzing historical trends, applying machine learning models, and dynamically adjusting sourcing strategies based on real-time risk assessments, organizations can proactively mitigate disruptions. A literature review identifies key models and case studies from before 2022, highlighting effective practices and gaps in current methodologies
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Copyright (c) 2023 Arthur James (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
