Throughout data acquisition, it permits to achieve a high level of knowledge useful to improve production effectiveness.
It is possible thank to a huge amount of information (data, variables and so on) acquired directly from the field. These data are useful to set up Deep Learning models.
Learn more >>

Statistical Process Controll (SPC) whose aim is understanding and analysing the variability of process.
Its task is to analyse huge amount of acquired data by highlighting trends and deviations from fixed standard.
Learn more >>

The costant monitoring of thousands of variables permits to reduce the consumption of energy, chemical and more in order to evaluate the plant and to design a better system, in terms of resource consumption and environmental impact.
Learn more >>

The total management of the plant is the tool for controlling the factory and the whole production process. It enhances the ability to process all available information used to solve problems immediately and make decisions on a daily basis.
Learn more >>

It is the most effective web-based tool to manage all types of maintenance in a single environment: from reactive to preventive…from autonomous to professional up to Predictive Maintenance.
Learn more >>

It is a just in time system tool used for stock replenishing during the process, only when needed. It is allows a real-time monitoring of the supply flow, avoiding the surplus of resources in the warehouse with a control of all the costs, unforseen events and errors deriving from them.
Learn more >>

It is a solution (WMS) dedicated to the management of warehouse and goods handling. It works in synergy with the Kanban and it permits to real-time monitoring of stock and location of the resources within the warehouse.
Learn more >>

It is a useful solution to support operators during the assembly step. It aims to guide the operator step by step; this working way saves time and reduces errors drastically.
Learn more >>

The EEM enables the continuous monitoring to design process. It is an essential tool for a linear design of a new industrial plant, without unexpected events.
Learn more >>

Its role is to give evidence of potential dangerous situations, most frequent causes of accidents and their relatively prevention actions.
Learn more >>

It aims to instruct and guide the operator to perform specific operations with the intention of limiting wasted time and performance as much as possibile.
Learn more >>

Data Acquisition activities can power the training and the subsequent usage of deep learning models. These can play a key role in improving decisional capacity in different areas. Below, we present a case study of decision-making process for solving quality and process problems: the A.I.O.C.A.P.
Learn more >>