An MES (Manufacturing Execution System) provides industrial companies with the necessary functionality to manage plant operations and decision-making based on information in real time.
The MES system encompasses solutions for controlling manufacturing, visualising the manufacturing plan and its routes; management of processes, operatives; reception and sending of materials and suppliers (including subcontractors); monitoring work centres; planning and optimising the synchronised execution of orders through manufacturing lines; control of quality in plants and traceability of materials and the productive process.
These systems should work in co-ordination with the top layer of management (ERP) and with the connection and supervision layer of physical devices (SCADA, PLC).
SPC (Statistical Process Control) software solutions enable the application of quality control methods to industrial processes using statistical algorithms.
These tools allow us to improve the quality of the process and product, controlling manufacturing variability to ensure the company’s quality standards.
In contrast to quality control methods based on inspection, SPC tools focus their activity on the detection and prevention of problems more than on their correction.
The resulting benefits come not only in the reduction of quality incidences (saving reprocessing or return costs): it will also help us to reduce processing times and improve the availability of machines.
BI (Business Intelligence)
Organisations currently handle a volume of data that would have been unimaginable only a few years ago. As a consequence of this, the capacity to collect data and information has increased on a daily basis and is now an essential asset of organisations.
One of the most important challenges is analysing unstructured data which can occasionally have a very high value and can also be analysed in real time.
Business intelligence involves managing data which can be transformed into knowledge of the business through the visualisation of correlations, associations, classifications, regressions and predictions, such as: defect rate, analysis of guarantees and client satisfaction.