New era technologies are making it easier for the digital transformation of industry.
TREELOGIC TEAM| 17/06/2019
The Fourth Industrial Revolution involves an authentic transformation in all areas of society; with industry, as we know, being one of those affected the most. In recent years, the digital transformation has been driving manufacturing and logistics production processes, among others, towards the innovative concept of Industry 4.0.
The implementation of new technologies has established an integral digitisation of all procedures within the industrial ecosystem by digitising the value chain and making it more efficient. Due to new era technologies like the Internet of Things, the Big Data designs and techniques based on AI like Deep and Machine Learning, the digital transformation of industry has been made easier.
Any part of a production process is susceptible to being enhanced by introducing technological innovations, and quality control is one of them. The implications that this part of the value chain has for any industry are of great relevance to the final results. Quality control in the new industrial concept is notable for the greater safety, reliability and confidence it provides for production, due to the automation of the production processes and the integral management of the supply chain.
To ensure economic competiveness and sustainability, any company, whether manufacturing or distributing products or delivering services, should have a protocol which guarantees the quality of the organisation’s internal processes. The Smart Factory idea is based on this exact principal, with the machines and robots in these new factories being supervised just as much by people as they are by tools based on Artificial Intelligence, assuring better inspection and control of all the factors which make up the production processes .
At Treelogic, we have executed a multitude of projects closely linked to Industry 4.0. At present, we are continuing to work side by side with big industrial companies to enhance their production processes and develop mechanisms that guarantee maximum quality.
Our teams design, develop and validate systems which prepare procedures that follow production machinery in “smart” factories. These routines are programmed by validating and auditing standards which are adapted better to each industrial infrastructure, by seeking to enhance production processes to increase the value of the resources at all times. In addition, and due to the introduction of new technologies, critical factors can be identified in any of the production phases and predictive models developed to detect possible errors. This is accomplished by using the information picked up from the different sensors distributed throughout the factory, providing a large amount of information.
In industrial processes, quality systems are based on the evaluation of finished products and their operation being correct. Similarly, the supervision of safety protocols linked to the fulfilment of regulations has the same relevance for the prevention of occupational risks. Quality management is not linked only with components or machines but also with operators and other people involved in the production process.
By applying these safety procedures, errors and incidents during the production phase can be detected, as well as being able to predict problems linked with the logistics of those materials to customers or agents. At Treelogic, we use machine learning to provide technological solutions to problems related to process improvement, detection of anomalies, product quality and safety protocols, which are impossible to solve using traditional methods.
The technology behind the new concept of quality management is based on Big Data and Artificial Intelligence; that is, on obtaining and processing a huge quantity of information and interpreting it. The patterns that create technological infrastructures which Treelogic develops can anticipate serious problems, leading to very high savings in both money and time, by being able to predict potential complicated situations which would cause significant productivity problems.
Therefore, establishing a quality system in Industry 4.0 provides safety and highly substantial savings in costs if we analyse the most competitive situation existing nowadays.
THE SMART FACTORY IN INDUSTRY 4.0
The term "smart factory" refers to a focus on industry responsiveness to prevailing market and socio-economic trends by making production more flexible and integrated. In this new context, automation takes on special importance as a key component in state-of-the-art smart manufacturing methods based on the constant exchange of data across all interconnected operations.
TREELOGIC BIG DATA ARCHITECTURES
The millions of pieces of data that are currently generated in the digital age would be of no use without systems to channel all that information. The group of technologies that enables the mass processing of this data set is what is known as Big Data.
THE TREELOGIC APPROACH: WE DEAL WITH DATA
One of Treelogic’s main objectives, in all of our projects, is to help the client discover how data can add value to their business. Identifying and exploiting the competitive advantage within any sector is fundamental in order to achieve the best market position.
INDUSTRY 4.0, THE LATEST REVOLUTION
Big data, Artificial Intelligence (AI), Machine Learning, Deep Learning, artificial vision or automation are trending terms and form part of the latest socioeconomic movement of our time, the fourth industrial revolution. A change that is already transforming production processes and that affects our daily lives.