Industry 4.0

Industry 4.0 is not exclusive to manufacturing companies but is also valid for service sectors. The integration of systems and their interoperability constitute all the manufacturing processes and business processes that make up the value chain of any type of company.

The availability of data in real time offers benefits for management, but also generates new business opportunities. Artificial intelligence, machine learning, robotic process automation are some of the various applications that arise from the combination of these new technologies.

QUALITY 4.0:

Industry 4.0 + Quality Management

COLABORATION BETWEEN MAN AND MACHINE:

Bots and Cobots

Quality has evolved from Inspection to Control, Assurance, Total Quality Management and, finally, Design for Quality, but, in recent years, the arrival of technologies 4.0 has produced a significant leap in quality evolution. Quality 4.0 is rethinking how quality management should adapt to the digital age. It can be characterized as the digitization of Quality Management and its effect on technology, processes and people and can be defined as the application of technologies 4.0 to quality. It is an evolutionary state where: digitization is used to optimize processes; quality shifts its control-oriented approach from process operators to process designers; machines learn to self-regulate and manage their productivity and quality, and human action continues to be essential. Whether in life sciences, manufacturing, or service industries, the goals of professional quality management are no different. High operational safety, reduction of failures and downtime and optimal coordination between the different departments of the company are required in order to improve customer satisfaction and loyalty through the improvement of product quality. Activus™ can help you with these issues.

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Collaborative robots can be found in both manufacturing industries and service companies. In the manufacturing industry, there are a large number of simple and repetitive tasks that not only produce physical exhaustion, but also mental exhaustion in workers. For these cases, Cobots are introduced, generally small “arms” in order to help these workers. In the case of services, robotic process automation, RPA, offers tools to create your own software robots, with the aim of automating any business process. These are the so-called “Softbots”, configurable software programs created to perform all the tasks assigned to them. In both cases, feasibility analyses and cost/benefit studies are required.

INDUSTRY 4.0

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