digital twin

A digital twin is a virtual representation of a physical asset, system, or process that stays linked to real-world data and behavior. In industrial and manufacturing environments, it commonly refers to a software model that mirrors the current state and configuration of equipment, production lines, facilities, or end products.

Core characteristics

In regulated industrial operations, a digital twin typically includes:

• Model of the physical object or process, such as a machine, production cell, aircraft component, or entire factory line.
• Continuous or periodic data connection from sensors, control systems (PLC/SCADA), MES, ERP, or quality systems that update the twin with operating conditions and events.
• Contextual information, including design data (PLM/CAD), maintenance history, process parameters, quality results, and configuration or revision status.
• Analytical and simulation capabilities that allow users to test scenarios, monitor performance, and assess risks without affecting the physical system.

Uses in manufacturing and regulated environments

Digital twins are commonly used to:

• Monitor equipment and processes, visualizing conditions such as temperature, vibration, cycle times, and throughput alongside the asset model.
• Analyze product and process behavior, for example assessing how design changes, parameter shifts, or different materials might affect performance or quality.
• Support maintenance and reliability by combining real-time and historical data with models to anticipate failures or plan service activities.
• Evaluate production changes like new routings, capacity adjustments, or layout modifications in a simulated environment before implementation.
• Provide traceability context, linking as-built records, test results, and configuration data to a digital representation of each serial number or asset.

Relationship to other systems

A digital twin usually consumes and organizes data from existing systems rather than replacing them. Common data sources include:

• PLM/CAD for design, bill of materials, and configuration.
• MES for routing, work orders, process parameters, and as-built records.
• ERP for item masters, orders, and cost-related data.
• OT systems such as PLCs, SCADA, and historians for sensor values and equipment states.
• QMS and lab systems for inspection results, test data, and deviations.

In some organizations, digital twins are part of a broader “digital thread,” which focuses on traceable, connected data across the product and process lifecycle, from design through production and maintenance.

What a digital twin is not

• It is not just a 3D CAD model without operational or lifecycle data.
• It is not only a simulation that runs offline with no connection to real production data.
• It is not a specific software product category with a single standard implementation. Different vendors and organizations implement digital twins in different ways.

Common confusion

• Digital twin vs. digital model: A digital model is a static or lightly updated representation (for example, a drawing or 3D model). A digital twin is typically distinguished by its ongoing link to live or regularly updated data.
• Digital twin vs. digital thread: A digital twin is a focused representation of a specific asset or process. A digital thread is the broader, connected data backbone linking requirements, design, manufacturing, and service information across many systems.