Manual to Digital

An introduction to business improvement in the digital age.

View the fact sheet here: In Work Skills Manual to Digital

In Work Skills – Manual to Digital 

The Manual to Digital module is an introduction to business improvement in the digital age, whilst gaining an understanding of the Smart Factory, learners will gather, analyse, and validate data using virtual reality and business improvement tools.

Industry 4.0, also known as the Industrial internet of things (IIoT) or smart manufacturing, brings together physical production and operations with digital technologies, machine learning, and big data to create a holistic approach which better connects manufacturing operations and supply chain management. The need for organisations to have sight of real time data across their own production processes, supply chain, products and customers is vital to meet the needs of an ever-expanding, fast-moving marketplace.

The Smart Factory is a flexible system that optimises performance, can self-adapt to accommodate the external conditions, and learn from the new conditions to run fully or semi-automated production processes.


This module contains:

The digital factory: An introduction to Industry 4.0 and the Smart Factory, highlighting the new era of interconnectivity through the Internet of Things (IoT).

Process improvement: A review of the key theorists of business improvement, understanding how those theories are adapted to suit the modern day needs of an organisation, its people, and their customers.

Big Data: Big data provides the definition and requirements of data, how and why data is needed and used with modern day digital environments.

Digital sensors: Introduction to Smart Sensors used within the manufacturing process. With a wide range of sensors, all gathering data, defects within the process and product can be corrected and prevented.

Virtual Reality: Using VR technology, you can immerse yourself in a production process, gathering data from Smart Sensors to identify inefficiencies within the production process.

Data and Analytics: Understanding how to utilise, analyse and validate Smart Sensor data is covered using business improvement tools and techniques.

Future technologies: Use of Smart Sensors for predictive maintenance including early fault detection, failure detection and CMMS (computerised maintenance management system) integration.


Face to face, online or workbook learning is available for this course.




NA College Spire Campus & Workplace Based

Group Size:


Course Duration:

50 guided learning hours


Level 3 Improvement Technician (Yellow Belt), Robotics and Automation

Minimum Age

This module is for employees of businesses who run Smart Factories or are introducing manual to digital process improvements

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NE37 3ES

Contact our Business Development Lead Susan Bulmer for any further information.