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Six stages, in this order on purpose. The assessment comes first because the technology should follow the loss, and the AI comes fifth because it needs something to learn from.
01 — ASSESS
Establish what the losses actually are and what fixing them is worth, before anybody specifies a sensor.
Start with the problem. Quantify the opportunity.
02 — CONNECT
Read the controllers, drives and machines already on the floor, whatever protocol and whatever decade they are from.
Connect existing assets without replacing them.
03 — COMPUTE
Put compute next to the process, so latency, bandwidth and a dropped link stop being reasons the system cannot be trusted.
Process critical data closer to the machine.
04 — PREDICT
Learn what normal looks like for each asset, then say when it stops being normal and what that has meant before.
Move from reactive maintenance to predictive intelligence.
05 — OPTIMIZE
Account for the difference between what a line could make and what it made, one cause at a time.
Find the loss. Understand the cause. Improve the outcome.
06 — SCALE
Take what worked on one line and make it a platform the next line, and the next site, can be added to.
Scale from one machine to multiple plants.
An assessment is a short piece of work with a number at the end of it: what the losses are, and what fixing them is worth. Everything after it is a decision you make with evidence.
