Plant (MES) runs a factory or a production line: the shift OEE, orders with their real cost, the operator terminal, breakdowns flagged before they happen and what the energy of each part costs. All connected to your Warehouse, your Purchasing and your people.
The OEE is not left as a single number: it is split into what pulls it down, and the line is drawn with each station in its current state.
Sensors, OEE, time between failures and a trend-based prediction that proposes the maintenance order.
The order is born from the product routing, is planned over time and, when completed, moves the inventory.
A large screen with large buttons, designed for a tablet next to the machine.
Corrective, preventive and predictive, with the running hours that production itself keeps.
Consumption by machine, by hour and by tariff period, set against what was produced.
What wears out on the machine and what each person knows, with warnings before it becomes a problem.
They are created when the module is activated, without touching any you have already adjusted, and are assigned on each person's sheet.
All capabilities and all screens, including plant configuration.
Sees the plant and plans: manufacturing orders, plan, energy, tooling and people.
Sees the line and the machines and operates the terminal: parts, stops and Andon. Everything else is redirected.
Views, operates and maintains: work orders, spare parts, tooling and preventive tasks.
Read-only access to line, machines, maintenance, energy and people, to analyse without touching.
View, operate, plan, maintain, create, edit and delete, separately. Anything with history is not deleted: it is deactivated.
A PLC, Node-RED or an MQTT or OPC UA bridge sends the readings. It is not a native client of those protocols, and we say so plainly here.
Bastino, the AI assistant of Fisher Platform, reads the plant with your permissions and answers in everyday language.
The OEE of each line, what is stopped and what is waiting for attention.
Which loss weighed most and which machine caused it.
The ones close to the end of their life or their calibration.
kWh and cost per good part, by line and by period.
It proposes it with a confirmation card: you see it, you approve it and only then is it created.
With its card, the before and after, and your permissions checked again when you accept it.
Bastino does not change the plant configuration, does not delete, does not declare parts or stops (the operator or the machine does that) and does not touch the gateways.
Each module notifies the others through events, without writing to their tables.
When an order is completed it consumes the materials and receives the finished product; material needs are compared with stock.
«Order» on a spare part linked to an item creates the purchase request, with its approval.
Each machine is linked to its asset, and the asset's sheet shows its step on the plant.
Skills are visible from each person's sheet, and deleting someone cleans up their skills and assignments.
Andon, maintenance and tooling life alerts, through the channel each person chooses.
Energy, maintenance and the clean-up of old readings run on their own, on the schedules you set.
A widget with today's OEE, on the home page of anyone who wants it.
Read access to orders and machines with your API key, which can never do more than its owner.
It is activated separately like any module, and comes with a sample plant to explore before loading yours.
Better to know before you sign up than to find out afterwards.
Yes, through an HTTP gateway with its own token: a PLC, Node-RED or an MQTT or OPC UA bridge sends the readings of each machine. It is not a native OPC UA or MQTT client. It is off by default and each gateway can be tied to a line and to IP addresses.
Yes. The operator declares starts, stops, parts and scrap from the plant terminal, and that gives you the OEE, the losses and the cost of each order. Sensors add temperature, vibration, power and the prediction.
Yes. When the order is completed the materials on the list are consumed and the finished product is received into Warehouse, at the real cost of the order.
Material: the bill of materials times the parts made, at the average cost from Warehouse. Energy: the order's running spans times each machine's power and the price of the period. Labour and machine: the running hours at their rate. It is compared against the standard and the deviation is shown.
It fits a least-squares line to the temperature and vibration of the last 7 days and says when it will cross the machine's maximum. It is not a neural network: it is a trend you can explain. A button creates the predictive order.
Not yet. It records scrap with its reason and counts it in the OEE, but control plans with SPC, nonconformities and lot or serial number genealogy are on the list of what comes next.
Not yet. The Gantt plan is dragged by hand using the estimated duration; automatic scheduling by capacity and changeovers is pending.
It is designed for mid-sized factories: metalworking, plastic injection, auto parts and assembly. Lines, machines, stop reasons, tariff periods and maintenance stages are configured, not hard-wired.
Plant is an installable module of Fisher Platform: it is activated or deactivated separately and, when deactivated, its screens disappear. Write to us and we will tell you what your plan includes.
We load a sample plant similar to yours and walk through the line board, maintenance and energy per part together.
The screenshots come from a demo environment with a fictitious plant, «Metalúrgica del Bajío»: three lines, thirteen machines and thirty days of history generated by a simulator, with invented people, orders and readings; no data belongs to a real customer. What you see depends on the active modules and on each person's permissions.