This conference explores the innovative use of digital twin technology combined with advanced analytics to build resilient, predictive supply chains capable of anticipating and managing disruptions. It covers real-time data integration, scenario simulation, risk mitigation, and operational optimization using virtual replicas of supply networks. Participants will learn how digital twins provide agility, visibility, and predictive capabilities to transform supply chain management from reactive to proactive.
Structure and Sessions (Who Does What):
Organizing Committee: Crafts the conference agenda, invites subject matter experts, and manages event logistics.
Keynote Speakers: Industry leaders, data scientists, and supply chain experts provide insights on digital twin adoption and analytics innovation.
Session Chairs: Manage session flow, lead Q&A, and facilitate participant engagement.
Presenters: Practitioners, researchers, and technology vendors present case studies, simulation models, and implementation strategies.
Participants: Engage through interactive discussions, workshops, and networking sessions.
Technical Review Committee: Ensures the scholarly quality and practical relevance of submissions.
Participate and Contribute (Who Benefits):
Supply Chain Managers and Analysts: Gain tools and techniques for predictive disruption management.
Data Scientists and AI Specialists: Showcase algorithmic and simulation advancements for digital twins.
Operations Executives: Learn strategies to enhance supply chain agility and resilience.
Academics and Researchers: Present and publish empirical work on digital twin applications.
Technology Providers and Consultants: Demonstrate leading-edge solutions in digital twin technology.
Benefits:
Certificate of Participation awarded upon feedback submission.
Commemorative momento recognizing contribution.
Abstracts and selected papers published in indexed journals such as Scopus, CrossRef, Web of Science (WoS), Elsevier, and SCI.
Abstract Topics / Call for Papers (CFP) Tracks:
Digital Twin Architecture and Integration in Supply Chains
Real-Time Data Analytics and Simulation Models for Risk Mitigation
Scenario Planning and Disruption Prediction Using Digital Twins
Enhancing Supply Chain Visibility and Collaboration
Use Cases in Manufacturing, Logistics, and Retail
AI and Machine Learning in Digital Twin Applications
Impact of Digital Twins on Inventory and Demand Forecasting
Performance Optimization and Continuous Improvement
Regulatory Compliance and Data Privacy in Digital Twins
Future Trends and Innovations in Supply Chain Digital Twins
Registration:
Online registration open to supply chain professionals, data scientists, researchers, and students.
Submission guidelines and deadlines clearly communicated for abstracts and papers.
Access to live sessions, recordings, conference materials, certification, and publication opportunities.
Detailed Program Grid (2 Half Days, 9 AM to 1 PM)
Time
Day 1
Day 2
09:00 – 09:15
Opening Ceremony & Welcome Address
Recap of Day 1 & Opening Keynote
09:15 – 10:00
Keynote Session I: Foundations of Digital Twins in Supply Chains
Keynote Session III: Predictive Analytics for Disruption Management
10:00 – 10:45
Technical Session I: Real-Time Data and Simulation Models
Technical Session III: AI-Driven Forecasting and Optimization
10:45 – 11:00
Q&A and Networking Break
Q&A and Networking Break
11:00 – 11:45
Technical Session II: Case Studies and Implementation Strategy
Panel Discussion: Future of Digital Twins in Supply Chain Management
11:45 – 12:30
Abstract Presentations and Research Highlights
Technical Session IV: Emerging Technologies and Standards
12:30 – 13:00
Participant Feedback and Closing Remarks
Closing Ceremony & Certificate Distribution
This conference offers comprehensive insights into leveraging digital twin technology for predictive supply chain resilience, with certification and peer-reviewed publication opportunities.
