Estimate components cost
Managing specific parameters such as the weight of the cable, of the copper and the technical data (temperature, voltage exercise, diameter).
Estimate costs of processing steps
Massive update of quotes
You can also straightly link the reference norms to each quote and define the crowns relating to the cable structure.
Create the cable item
With the indication of the bill of materials and routings; any change made in the estimator will be updated on the item of the finished cable.
CABLE PRICE ENGINE
The system keeps track of every production cost related to:
- final cable
Control on margins
Automatically calculated by the system simply setting the desired margin.
INTEGRATION WITH THE COPPER EXCHANGE
Daily import of price of copper
Through the Westmetall.com website.
Track of changing in margin
The system tracks changes in margins as a result of variable fluctuations in copper and/or production costs.
Schedule your production orders in a Simulated Environment
Launch your Production Planning only when data on your sull'ERP massimizzano i risultati
- Check the downtime and the overlap between two consecutive routing steps
- Schedule on Cascade the production plan
- Embed the integration with excel where you can view the Gantt Diagram of the production steps
Real time production monitoring
- Define the mandatory data that an operator must enter in order to be able to continue in the expected flow of activity.
- record automatically the costs related to the processing time and setup.
- automatically generate production output and consumption
Integration with the Corporate Information System
With Eliot 4.0, The Industrial architecture of Euris, that enable the bi-directional communication between the production line and the corporate information system.
Real Time data
Have real-time production progress and machine performance data (KPIs like OEE)
Automate the production
Automatically send Production Orders from the ERP/MES/SCHEDULER to the machines
Trigger alarms and notifications against certain conditions and events
Provide the Management with analysis dashboards and implement predictive maintenance
Finalization production order
Automatically advance the time and quantity produced in production orders
OEE (Overall Equipment Effectiveness) Panel Display
Displays in real time the total effectiveness of each plant and highlights the important factors for manufacturing production:
current machining status bar
machine downtime signals
Allow, through the collection and historicization of production metrics, to teach to the component of Machine Learning in Eliot4.0, based on Neural Networks for detection faults and predictive maintenance in order to estimate any issues to avoid the machine’s block.