Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 13 — Climate Action
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Explore
All Session Tracks
Track 01
AI-Driven Demand Forecasting
This track focuses on the application of artificial intelligence techniques in demand forecasting within supply chains. Participants will explore innovative models that enhance accuracy and responsiveness to market changes.
Track 02
Machine Learning for Inventory Optimization
This session will delve into machine learning methodologies that optimize inventory levels across various supply chain contexts. Emphasis will be placed on balancing cost efficiency with service level improvements.
Track 03
Route Optimization Techniques in Logistics
This track examines advanced algorithms and machine learning approaches for optimizing transportation routes. Discussions will highlight case studies demonstrating efficiency gains and cost reductions.
Track 04
Predictive Modeling in Supply Chain Management
Participants will investigate the role of predictive analytics in enhancing supply chain decision-making processes. The focus will be on developing models that anticipate disruptions and optimize operations.
Track 05
Warehouse Automation and AI Integration
This session will explore the integration of artificial intelligence in warehouse automation systems. Topics will include robotics, real-time data analytics, and their impact on operational efficiency.
Track 06
Supplier Risk Management through Data Science
This track addresses the application of data science techniques in assessing and managing supplier risks. Participants will discuss frameworks for identifying vulnerabilities and enhancing supply chain resilience.
Track 07
Blockchain Applications in Supply Chains
This session will focus on the transformative potential of blockchain technology in supply chain management. Discussions will cover transparency, traceability, and the implications for trust among supply chain partners.
Track 08
Real-Time Logistics Monitoring and Analytics
Participants will explore the latest advancements in real-time logistics monitoring systems and their analytical capabilities. The session will highlight the importance of data-driven insights for operational agility.
Track 09
AI in Procurement Strategies
This track will examine how artificial intelligence can enhance procurement strategies within supply chains. Participants will discuss AI-driven decision-making processes and their impact on supplier selection and negotiation.
Track 10
Resilient Supply Chain Systems
This session will focus on designing resilient supply chain systems capable of withstanding disruptions. Discussions will include strategies for flexibility, adaptability, and recovery in supply chain operations.
Track 11
Production Planning with Machine Learning
Participants will investigate the role of machine learning in optimizing production planning processes. The session will highlight techniques for improving efficiency, reducing waste, and aligning production with demand.