CodeMaster is an Industry 4.0 application platform developed by MCS Group. It provides real-time traceability and sustainability reports, offering tangible advantages and gains. In line with the Industry 4.0 concept, it builds a bridge between the production site and management. The platform offers sector-specific solutions without discriminating between sectors, especially with regard to energy, maintenance and production outputs.
Production monitoring
Production operations can be monitored in real time, with operators able to follow all operations on kiosks at the plant. CodeMaster maximises the use of maintenance capabilities and increases machine utilisation. It reduces downtime of machines in operation.
Energy monitoring
CodeMaster enables real-time traceability to monitor energy consumption in operation. Energy can be monitored on a machine or production basis and calculate the total spent energy on a daily, weekly and monthly basis.
The smart control mode saves energy by momentarily stopping non-essential processes, while ensuring production traceability throughout the process. Monetary gains from daily and All-time energy savings are displayed on the screen.
Carbon emissions are calculated from the electricity and gas consumption during production and the Carbon Footprint is instantly displayed. This data can be integrated with ERP.
CodeMaster offers solutions with Operator Tracking control for accessing to machines and plants with maximum efficiency and process security. Operator can define the downtimes and send breakdown notification to maintenance by RFID cards.
Reporting
Production reports based on machines can be obtained from the CodeMaster platform. Energy and maintenance reports can also be added as optional extras. All information received in report form can be converted into file formats such as xls and pdf.
CodeMaster sets the standard for measuring production efficiency and provides OEE tracking to ensure consistent implementation of this standard. It reduces performance losses in the production process, minimises downtime and usability losses, and improves production efficiency by an average of 20% with effective quality monitoring.
