Smart Manufacturing

Flexible, reliable and predictive with IoT

IoT technologies are gaining much interest in manufacturing. More flexible production lines that can be dynamically reconfigured, predictive maintenance, more efficient energy and materials usage and real-time analysis of the production status in different process steps are some of the expected benefits. Manufacturing today is also a collaborative process involving several different stakeholders


Connecting and controlling of a wide range of factory devices

Deployment of wireless sensors in harsh environments

Integrating OPC and IoT

Feeding IoT Data into business systems for processing

Large-scale analysis of data collected from manufacturing processes

Creating trust and secure data transactions in the supply chain

Requirements of modern production processes stress the need of greater agility and flexibility leading to faster production cycles, increased productivity, less waste and more sustainable production. CNet is investing into several research and innovation activities in this area. Our project COMPOSITION focuses on developing Technologies for IoT, Deep Learning and Blockchain to provide a platform to allow collaborative manufacturing involving different stakeholders such as factories, logistics companies, suppliers, retailers and consultant in an ecosystem. The goal of COMPOSITION is to develop an integrated information management system (IIMS) which optimises the internal production processes by exploiting existing data, knowledge and tools to increase productivity and dynamically adapt to changing market requirements.

The project will also develop an ecosystem to support the interchange of data and services between factories and their suppliers with the aim to invite new market actors into the supply chain. Two use cases will be developed – manufacturing of medical devices and supply chain management. The COMPOSITION project is run by a large European consortium. CNet is the technical coordinator of the project. COMPOSITION will implement RAMI 4.0 (Reference Model Architecture Industry 4.0).


We have focused on enabling a business based Internet of Things by integrating data from various sensor technologies and convert it into a form that can be processed by the manufacturing execution system.

In the Brazilian project BEMO-COFRA we developed OPC support to allow easy integration of OPC-based manufacturing equipment into IoT networks, which was tested in FIATs factories in Brazil. Also an SDK and toolkit for Industrial IoT developers have been developed.

We have also developed a system for collection and processing of shop floor data and aggregate it from robot to cells to lines and to factory level to provide easy access to production data from equipment and sensors and provide aggregation and drill down to every level of detail necessary to support different business processes. The solution was fully deployed in an MS Azure cloud.

Vivian EsquiviasSmart Manufacturing