Supply Chain and Logistics
Supply Chain Digital Twins and Scenario Simulation
This in-depth course develops directly applicable capability in Supply Chain Digital Twins and Scenario Simulation. It connects Supply Network Twin Scope, Data and Model Construction, and Scenario and Resilience Analysis to the decisions, controls, and activities participants need to perform in their workplace.
Overview
Practical learning for workplace transfer.
This in-depth course develops directly applicable capability in Supply Chain Digital Twins and Scenario Simulation. It connects Supply Network Twin Scope, Data and Model Construction, and Scenario and Resilience Analysis to the decisions, controls, and activities participants need to perform in their workplace. The five-module curriculum progresses toward Digital Twin Simulation, using evidence, scenarios, and work products appropriate to the subject.
Objectives
- Analyze supply network twin scope, including sites, suppliers, lanes, capacities, inventories, lead times, policies, and demand.
- Configure or structure data and model construction, including erp, planning, warehouse, transport, supplier, and external data.
- Evaluate scenario and resilience analysis, including demand surge, supply loss, lane disruption, capacity failure, and policy change.
- Manage decision integration and governance, including connect scenarios to s&op and control-tower decisions.
- Apply digital twin simulation, including configure a multi-echelon network case.
Target audience
- Professionals responsible for this subject area
- Managers, supervisors, and team leaders
- Analysts, specialists, engineers, or coordinators working with the relevant processes
- Project, implementation, assurance, or improvement team members
- Professionals preparing for broader responsibilities in this field
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: Supply Network Twin Scope
Sites, suppliers, lanes, capacities, inventories, lead times, policies, and demand
Descriptive, predictive, and prescriptive twin functions
Choose resolution and update frequency
Module 2: Data and Model Construction
ERP, planning, warehouse, transport, supplier, and external data
Entity matching, units, calendars, and uncertainty
Discrete event, optimization, and hybrid simulation approaches
Module 3: Scenario and Resilience Analysis
Demand surge, supply loss, lane disruption, capacity failure, and policy change
Service, cost, inventory, utilization, and recovery measures
Correlated and cascading disruption
Module 4: Decision Integration and Governance
Connect scenarios to S&OP and control-tower decisions
Validate model behavior and prevent false precision
Ownership, change control, and post-event learning
Module 5: Digital Twin Simulation
Configure a multi-echelon network case
Run disruption and mitigation alternatives
Recommend inventory, capacity, and sourcing decisions
Materials provided
- ○ Course-specific presentation slides
- ○ Guided exercises, scenarios, or configured-environment activities appropriate to the subject
- ○ Course-specific worksheets, checklists, or calculation templates
- ○ Applied workplace case materials
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for implementation questions
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D Training & Consultancy adapts the program to the client’s operating environment. Delivery combines structured explanation with subject-specific analysis, exercises, and implementation decisions so participants can transfer the learning to real responsibilities without implying vendor authorization.
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