From 8 hours to 40 minutes: automating processes in Mexico's Bajío plants
The real problem in mid-sized plants
Most manufacturing plants in Mexico's Bajío share the same friction: 8 hours that could be 40 minutes. We see it again and again in process audits. It's not for lack of talent — it's because the software running the operation was built a decade ago and never evolved.
Three painful symptoms
- Spreadsheets as an operating system. The supervisor sends Excel via WhatsApp. Three contradictory versions float around in a single week.
- Manual re-entry from PLC to ERP. Operators jot down on paper what the PLC already has digital. Double work, statistical errors.
- 2 AM shift reports. Someone stays late consolidating what a 50-line script would handle in 8 seconds.
The minimal intervention
You don't need a new ERP. You need a middle layer that:
- Reads the PLC live (OPC-UA, Modbus TCP, EtherNet/IP).
- Persists to a database your team can query.
- Generates automatic reports without human intervention.
# Simplified example: read a PLC tag via OPC-UA
from asyncua import Client
async def read_production_count(url: str, node_id: str) -> int:
async with Client(url=url) as client:
node = client.get_node(node_id)
return await node.read_value()
The number that matters
After 12 implementations of this pattern, the metric that best predicts success is not PLC speed or network latency. It's how many decisions per day the supervisor stops making by hand. Drop from 40 to 4 and the rest falls into place.
Next step
If your plant runs more than 100 hours per week on repeatable processes, book a free audit. In 30 minutes we identify the three processes that bleed the most hours and tell you what it costs to fix them.