Solving production tasks and problems in all technological areas
Hardware
Software
Installation
Machine operating parameters monitoring and history: gobs sheared, gobs loaded, gobs rejected – in pieces and tons.
Losses calculation from planned and unplanned stops, in minutes, pieces, tons, %.
History of job changes, including job change time T1 and ramp-up time T2.
Notifications about target events according to individually configurable conditions (scenarios).
History of production performance: by article, by job number, by line, by all lines at the furnace, by all furnaces at the plant, by all plants in the group and so on.
Data export: Excel, REST API.
Machine speed and CR (cavity rate) monitoring and history linked to the article produced and job number.
History of molds usage, by mold number — in minutes and gobs loaded.
History of mold changed, by numbers, including the cause of changing.
Packaging, Warehouse, Pallets
Detailed by sections and machines history of downtime and causes, such as:
- Shears problem from 1 minute;
- No gobs loaded from 1 minute;
- Rejects (Blow-offs) more than 95% in a time period more than 1 minute.
Number of packed product – in pcs/tns.
Monitoring of pallets height.
Monitoring of labeled status of a pallet (yes or no).
Verification of pallet actual status by cameras and AI (artificial intelligence).
Loading/delivery scheduling by pallets.
Data export: Excel, REST API.
Notifications about target events according to individually configurable conditions (scenarios).
Pallet identification and accounting system, by status: assembled, packed, blocked, rejected, resorted, stocked, shipped to the forwarder.
Quality control, Inspection machines, Defects
Objective consumption of raw materials accounting by components.
Consumption of raw materials per each batch of charge history.
Monitoring compliance with the recipe during the preparation of the batch. Recipe Change Notifications.
History of rejects by inspection machines — by defect type, by mold number.
Soda ash per one ton of silica sand history.
Hot End — Cold End connection.
Data export: Excel, REST API.
History of the staff reaction time after notification sent.
Notifications about target events according to individually configurable conditions (scenarios).
Number of batches per shift/day accounting.
Glass level control, notifications.
Good practice history when eliminating problems and defects.
Specific energy consumption per one melted ton.
Furnace utilization ratio.
Notifications about target events according to individually configurable conditions (scenarios).
Batch loss upon melting, %.
Amount of glass melted from pure batch.
Data export: Excel, REST API.
Data export: Excel, REST API.
Notifications about target events according to individually configurable conditions (scenarios).
History of rejects made by laboratory — by defect type, by mold number.
Monitoring of furnaces and feeders temperatures by zones. Notifications in case of deviation from the set values.
History of the article actual weight linked to the molds.