Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Analytics for supply chain decision making
- Data-driven insights for supply chain optimization
- Predictive analytics in supply chain management
- Big data applications in supply chains
- Supply chain performance metrics and analytics
- Challenges in implementing supply chain analytics
- Visualization tools for supply chain data
- Role of AI in supply chain analytics
- Real-time data analytics for supply chains
- Case studies on analytics-driven supply chains
- Data governance in supply chain analytics
- Impact of analytics on supply chain efficiency
- Collaboration and data sharing in analytics
- Supply chain risk analytics methodologies
- Future trends in supply chain analytics
- Integration of analytics in supply chain strategy
- Machine learning applications in supply chains
- Supply chain analytics for sustainability
- Data quality and accuracy in analytics
- Ethics in supply chain data usage
All papers must be original and not previously published or submitted elsewhere.
