Digital Manufacturing

The rise of new digital industrial technology, known as Industry 4.0, is a transformation that makes it possible to gather and analyze data across machines, enabling faster, more flexible, and more efficient processes to produce higher-quality goods at reduced costs. It has led to an unprecedented rise in data availability, computational power and connectivity across sectors including manufacturing and the supply chain.

Cloud Computing

Cloud storage and computing are key cogs in a connected factory due to the vast volumes of data generated. Konica Minolta’s analytics platform provides a single source of truth and allows for remote access and monitoring of all data and systems in real-time, giving great visibility and accuracy into manufacturing operations and efficiencies.


In today’s interconnected world, cybersecurity threats have become the norm all around the world. These threats are constantly evolving, and they get more sophisticated each day. With the right and comprehensive cybersecurity solution, organizations can protect themselves from the impacts of cyber-attacks or data breaches.

Autonomous Robot

Optimize your workflows, increase productivity and create value by reassigning repetitive, heavy workloads to autonomous robots. Manufacturers in a wide range of industries and sectors have adopted the Collaborative Mobile Robots offered by Konica Minolta to automate their in-house transportation and drive business growth.

Artificial Intelligence (AI)

With the advancement of AI brought about by higher computing powers, processes that rely on human judgement and had no clear rules can now be automated through deep learning. Konica Minolta has applied AI to our visual inspection solution that will make inconsistent inspection results, or the difficulty of skills transfer between workers a thing of the past.

Industrial Internet of Things (IIoT)

Every aspect of the manufacturing operation can be connected by the IIoT. The IIoT enables the monitoring, collection, exchange and analysis of data which can be leveraged into optimizing efficiencies across the manufacturing operation. Konica Minolta offers a seamless connection and collaboration of data, machines, and people that is fundamental to a connected factory.

Real-Time Optimization

Through real-time data collection, coupled with Big Data, machine parameters can be fed-back to production systems enabling on-the-fly adjustments & fine-tuning to ensure production runs at optimum level and minimizing rejects.

Additive Manufacturing

Additive manufacturing, also known as 3-D printing, is used mostly to prototype and produce individual components. It offers low-cost production advantages for complex designs that can be produced in-house instead of high-cost outsourcing.

System Integration

The seamless integration of software, machine, and people increase value to a system by creating new functionalities through the combination of sub-systems and software applications. This increases the speed, reliability, and information flow between all systems of a manufacturer. At Konica Minolta, we are constantly maximizing our industry knowledge and expertise, and keeping abreast with the latest technologies to help manufacturers get the most value from their digital transformation.

Big Data

Konica Minolta collects & builds Big Data from many different sources, production equipment and systems, enabling comprehensive evaluation of data that supports real-time decision making as well as predictive maintenance.


At Konica Minolta, we believe connected factories will be at the heart of Industry 4.0. Factory shop floors will become increasingly automated and digitized as machines are connected and can communicate with each other. This grants manufacturers smoother processes and allows employees to focus more on other tasks. Ultimately, manufacturers can expect to see optimised processes, greater asset utilization, real-time inventory monitoring, higher labour productivity and improved customer service.

Additive Manufacturing Artificial Intelligence (AI) Industrial Internet of Things (IIoT) Real-Time Optimization System Integration Big Data Cloud Computing Cybersecurity Autonomous Robot