Merging machines and software for the Smart Factory
by Lantek
Advanced Manufacturing
Share:
A favourable overall framework such as that of Industry 4.0, which encompasses a set of factors, extended to specific applications such as the connectivity of elements in the plant and the IIoT (Industrial Internet of Things), are leading the industrial sector to change at an unprecedented scale.
More than 10 years ago Lantek set out to go further in solving the needs of companies in the metal sector. An example of this is Opentalk, which allowed Lantek to progress with the development a many different systems by enabling machines to inform software when they were ready to start or when they had finished in the case of unattended production lines.
The emergence of new technologies along with the development of communication protocols and standards (OPC-UA, etc.) has endowed machines with the necessary resources to establish a fluid communication with software systems: IoT, CPS, sensorization, security, 5G, etc.
In recent years, Lantek has been working hard on developing a secure connection mechanism that enables cooperation between machines, local software systems, applications and systems located in the cloud.
The merging of machines and software, two elements which were traditionally isolated is unstoppable and technology is relocating the different functions, either locally or in the cloud. The interconnection between the two worlds (local and cloud) is already possible. Machines started to “talk” some time ago and they are learning more “vocabulary” and “languages”.
A strategic approach for collaboration between machine tool builders, software developers and system integrators will be essential to unleash the amazing potential of concepts yet to be imagined.
By all working together, we will define the Smart Sheet Metal Factory of the future.
In today’s competitive manufacturing landscape, businesses that can leverage data to drive insights and decision-making have a clear advantage. Data-driven smart manufacturing is the use of data and analytics to improve all aspects of the manufacturing process, from product design and development to production and quality control.
Material waste and a lack of agility in nesting or the nesting of parts are two of the most common problems faced by metal processing companies which slow down the company’s response time for its clients and make the process more expensive. This is due to them not using the appropriate technology in order to fully exploit each piece of sheet metal during the cutting process and/or the fact that this process is completed manually or using slower solutions. Equally, the work of the production engineer mustn’t be knocked as they are experts in the optimization of nesting and machining; the maximization of the margin for each production order received depends on their intervention.