BOE11 - Using Big Data to Manage Supply Chain Uncertainty
1119780
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Program Description
Discover how big data drives smarter supply chain decisions. Learn to forecast risks, measure resilience, and implement strategies that reduce uncertainty, improve agility, and create competitive business advantage.
Who Should Attend:
- Supply chain managers seeking to reduce risk exposure
- Operations leaders aiming to build agile, resilient systems
- Business consultants advising clients on data-driven strategy
- Data and analytics professionals supporting supply chain functions
- Executives responsible for long-term supply chain planning and performance
Learning Objectives:
By completing this workshop, you will be able to:
- Understand and apply the 5V of Big data using data sets.
- Identify common sources and patterns of supply chain disruptions using data-driven techniques, including historical data analysis and risk classification models.
- Apply supply chain analytics tools (e.g., forecasting models, scenario analysis, and sensitivity testing) to assess vulnerability and predict the impact of potential disruptions.
- Develop and interpret key performance indicators (KPIs) that monitor supply chain resilience and enable proactive disruption management.
- Design and evaluate mitigation strategies using optimization and simulation models to enhance agility, flexibility, and responsiveness in the supply chain.
- Integrate advanced analytics into supply chain decision-making to improve real-time visibility, stakeholder coordination, and long-term risk planning.
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