Our colleagues have demonstrated the efficiency of industrial digitization on hundreds of projects from dozens of clients.

The following examples might give some insight as to how industry 4.0 can help in different industries.​

Estimating production time

In mass customization, one of the main elements of resource planning is the definition of manufacturing lead times, because individual needs are to be reconciled with the complex enterprise environment. Our industry data analysis team has developed a machine-based learning method for a partner in the optical industry that has achieved over 90% accuracy in estimating lead times, based on ERP and MES data. In this way, when the order is received, the customer can get a precise delivery date and we can optimize resource distribution (human and machine time, raw materials, etc.).

Estimating production time

In mass customization, one of the main elements of resource planning is the definition of manufacturing lead times, because individual needs are to be reconciled with the complex enterprise environment. Our industry data analysis team has developed a machine-based learning method for a partner in the optical industry that has achieved over 90% accuracy in estimating lead times, based on ERP and MES data. In this way, when the order is received, the customer can get a precise delivery date and we can optimize resource distribution (human and machine time, raw materials, etc.).

Development of a Digitalization Strategic Plan

After a rapid growth, a Hungarian automotive company recognized the need for industrial digitization for efficient operation and further development. Our Industry 4.0 Expert Group has prepared a digitalisation strategy after personal and technical audit and data analysis. The management of the company has started the project on the basis of the proposal.

Simulation analysis

A company with a wide product range has planned a robust expansion of its manufacturing and logistics capabilities. Our experts specializing in production optimization carried out data analysis and the evaluation of the planned systems using a simulation software.

The simulation can be re-run when the environmental elements or system requirements change.

Robots in manufacturing – feasibility analysis

Our Integrated Robot and Sensor Systems Team has developed a kinematic model of an elaborate assembly job using advanced ing for our partner for automotive suppliers. This step is key to successful robotic projects. The model prepared in the implementation includes a complete geometry tolerance chain, built into all the snap-in components included in the assembly task. Thus, our partner was able to provide detailed specifications to the system integrator at an early stage, with the expected cost and risk of implementation significantly reduced.