Bodhee

Bodhee reschedules production, QC, and maintenance when reality changes. From Neewee, for process manufacturers in pharma, specialty chemicals, and F&B.

[Bodhee @neeweeanalytics]

The batch is done. The customer's waiting. And it's sitting in the lab.

In regulated manufacturing, the release date isn't set on the production floor. It's set in the QC queue.

Testing is 30–60% of the release cycle (industry estimate). The bottleneck moved - most plans didn't

[Bodhee @neeweeanalytics]

The real question is how fast you can rebuild a workable schedule when it breaks - and whether Production, QC, and Maintenance are all working from the same picture.

That gap is where the capacity goes.
Learn more → https://t.co/tDVTTTSLU4

[Bodhee @neeweeanalytics]

In process manufacturing, the production schedule is usually wrong by 9 a.m. - and that's normal.

An IPC is delayed. An operator calls in sick. A reactor that should've been free is still finishing a batch that overran overnight. None of it is unusual; it's an ordinary Tuesday

[Bodhee @neeweeanalytics]

Here's what's easy to miss: a schedule isn't a document you publish once a week. It's a live thing that decays the moment reality touches it.

[Bodhee @neeweeanalytics]

87% of facilities say they run preventive maintenance.
59% actually spend more than half their time on PM work.

That gap is the real cost of reactive maintenance — unplanned downtime, deferred PMs, maintenance absorbing production's scheduling instability.

#ProcessManufacturing

[Bodhee @neeweeanalytics]

The schedule is not wrong because the planner made a mistake.

The schedule is wrong because the tool that produced it was built for a static plant.

Next week, we're going to make that argument in full.

#ProcessManufacturing #AdaptiveScheduling #DynamicScheduling

[Bodhee @neeweeanalytics]

Your planner rebuilds the schedule. Every day.

That time - 1, 2, sometimes 4 hours — doesn't appear in any operational report as a cost.

What would your capacity look like if that time went to planning instead of replanning?

#ProcessManufacturing #DynamicScheduling

[Bodhee @neeweeanalytics]

If the answer is "hours" — and for most regulated process plants it is — that's not a people problem.

It's a planning architecture problem.

More on this in June on https://t.co/8xVVIcyTAL

#ProcessManufacturing #AdaptiveScheduling #DynamicScheduling

[Bodhee @neeweeanalytics]

Every process plant has disruptions. Equipment trips. A CIP cycle runs long. QC flags a batch.

The disruption is recoverable. What compounds it is the planning loop - how long until a new feasible schedule reaches the floor.

In most plants: hours.

[Bodhee @neeweeanalytics]

The question isn't "how do we have fewer disruptions?"

cGMP cleaning, equipment variability, QC holds, maintenance windows — not bugs.

The real question: how long until your planning system produces a valid schedule after something changes?

Most teams never measure it.

[Bodhee @neeweeanalytics]

Full piece — what the silo tax is, where it accrues, why no one owns it, and what removing it actually requires:

https://t.co/r8pAvtNnKY

[Bodhee @neeweeanalytics]

OEE green. PM compliance green. QC cycle time green. The plant is still losing capacity.

That's the silo tax — the largest scheduling cost most regulated process plants don't measure.

[Bodhee @neeweeanalytics]

Back-of-envelope: a €100M-capacity plant losing 5% to schedule conflict pays a €5M silo tax in capacity alone. Before inventory. Before labour.

A hundred small events, none individually big enough to investigate.

That is why it persists.