Questions about Oppr

Oppr is an operational improvement platform for process plants in continuous manufacturing. Shift notes and machine data go on one timeline. AI analysis of both gives hypotheses that your people test on the floor. Every shift confirms what holds, so improvements add up. Oppr B.V. is based in The Hague, the Netherlands.

No. This is an improvement project, supported by a platform. Your people do the improving and make the decisions.

Oppr is a digital twin only in a practical way. It is not a 3D model or a simulation of your plant. It puts your machine data and what the shift sees on one timeline, on the plant you already run.

No. We look at the process, never at who was on shift. Nobody is scored or ranked. Two shifts, same machine, same recipe, two results: that is the process telling you something, not the people.

No. Oppr works inside Lean, SQDC or DMAIC as you run them today. Your boards and meetings stay as they are. Two things change. The shift's notes sit next to the data, and a check every shift keeps each change in place.

An MES runs and records production. A dashboard shows the data. A consultant runs a project and hands over a report. Oppr is an improvement and digitization partner: we work on the improvement with your people, and the software is our tool to make it hold. It builds on the systems you already have and adds what the shift saw, next to the machine data. The analysis gives hypotheses that your people test on the floor, and a check every shift keeps what holds in place.

Oppr is for process plants with a problem that keeps coming back. The plant needs people on site who can name that problem.

• Process plants with a real transformation step: chemicals, plastics and rubber, recycling, waste to energy, food and beverage.
• Plants where basic digital records exist: ERP, a historian or SCADA, spreadsheets. Perfect data is not required. A recurring problem is.
• A plant that already has data but gets little from it. Its management team wants an answer, not a two-year programme.
• A team with a digitization and transformation agenda that wants practical results. It wants to use AI to improve the plant faster.

Oppr is not the right fit for every plant:

• Plants looking for a SCADA, MES or CMMS system. We support those systems. We are not one.
• Plants that only want a dashboard.
• Sites without a recurring problem anyone can name.
• Teams that think everything already works fine.

The analysis puts every note, photo and voice note on the timeline next to your machine data. Each note sits at the moment it was made. The analysis looks for moments where a change in the data and a shift note happen at the same time. Each match becomes a hypothesis about what drives a problem. Your people test it on the floor.

No. Oppr puts what the shift saw next to the machine data, so you can see what changed. When a change in the data and a shift note happen at the same time, that is a correlation. It is a hypothesis that your people test on the floor. Only what holds becomes standard work.

Your team owns it. The analysis proposes. Your process engineers and shift leads decide which hypotheses to test, in which order, and what result counts as holding. A disproved hypothesis is a valid outcome: you can stop looking there.

Oppr builds on top of the systems you already have. It does not replace them. A local extract from your historian or ERP, or your teams' Excel files, is usually enough to start. Oppr is a practical first step toward digitizing the floor, without the weight of a full MES rollout.

Yes, if you have a problem that keeps coming back. We start with the data you have. Perfect data does not exist.

No. Notes go in on the phone the shift already carries. IT helps with access to the data.

We do. We provide the platform and keep it running. Your people do not have to collect field information, update work instructions or build the monthly report by hand.

Your data stays yours. Before we start, we agree with your IT where it runs and who can see the data. We put this in writing.

It asks little of the shift. It takes a process walk and a few sessions with the people who know the line. After that, the shift adds a note at the machine only where the problem needs one. A note takes about twenty seconds, as an indication.

First, we do a process walk with the people who run the line. Together we pick one problem and agree the success criteria. Then your people test the first hypothesis on the floor. What holds goes into standard work.

We build it on your own numbers. The analysis of your data sets the baseline. You see the first improvement hold on one line before anything is rolled out. Rollout follows only if the case justifies it.

Then you know, and you have not committed to more. You only go further if the agreed success criteria are met.

We do not publish prices. We agree the scope and cost of the first problem on one line with you before the work starts. You only go further if the agreed success criteria are met.