Program Overview
This program explores how digital twins and next-gen supply chain control towers are reshaping decision-making, responsiveness, and risk mitigation in complex global networks. Participants will learn how to virtualize their supply chain using digital replicas of assets, flows, and constraints, enabling scenario planning, real-time alerts, and dynamic re-routing. The session covers architectures, data integration layers (IoT, ERP, WMS), AI/ML-driven visibility engines, and KPI dashboards. It also dives into the business case and practical challenges of implementing supply chain control towers—from siloed data and change resistance to governance and ROI measurement. Case studies from pharma, automotive, and e-commerce supply chains bring the technology to life.
Features
- Understand the architecture and enablers of digital twins in supply chains
- Explore use cases for real-time visibility, predictive risk response, and planning agility
- Evaluate control tower frameworks (monitoring vs. execution vs. cognitive)
- Build a roadmap for digital twin adoption aligned with business goals and tech stack
Target audiences
- Supply Chain and Strategy Professionals
- Digital & Innovation Teams
- Operations Teams
- IT-OT Integration Teams
Curriculum
- 5 Sections
- 19 Lessons
- 1 Day
- What is a Digital Twin in Supply Chains?5
- 1.1Concepts: Virtual replica of real-world supply chain entities with live data feeds
- 1.2Keywords: Asset Twin, Process Twin, Scenario Twin, Event Stream, Edge-to-Core Sync
- 1.3Examples: Digital twin of distribution center, SKU inventory movement, or production line
- 1.4Real-life Insight: Consumer durables firm used factory digital twin to reduce downtime via predictive maintenance
- 1.5Template: Digital twin blueprint structure – entity → data → action → sync
- Control Towers – Visibility, Decision-Making & Alerts4
- 2.1Types: Logistics Control Tower, Inventory Tower, Procurement Tower, SNOP Tower
- 2.2Keywords: Single Source of Truth (SSOT), E2E Visibility, Exception Handling, Root Cause Detection
- 2.3Case: Pharma exporter set up cold chain control tower for real-time temperature + location alerting
- 2.4Exercise: Design a control tower dashboard – shipment status, risk alert, ETA, inventory levels
- Enabling Technologies – Data, Cloud & AI4
- 3.1Tools: IoT Sensors, Edge Devices, Cloud ERP/SCM, APIs for Integration
- 3.2Keywords: Stream Processing, Azure Digital Twins, AWS IoT Core, SCADA, Graph Database
- 3.3Situational Focus: Fragmented visibility across supplier network due to non-standard systems
- 3.4Toolkit: Integration architecture for multi-tier SC visibility
- Use Cases – From Operations to Strategy3
- Governance, Change Management & Maturity Models3
Instructor
