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SolvoNext
Solve fully. Stop recurrence. Stabilize your plant. SolvoNext takes a team from the problem in front of them to a permanent solution — and won’t let them stop at the symptom.
PDCA · DMAIC · 8D · Custom. AI optional. Built by ORCALEAN.
Cost and quality
Most of a plant’s cost and quality performance is decided by a small number of chronic problems — the ones everyone can name, that have been worked more than once, and that have quietly been priced into the budget. Warranty, scrap, lost sales, engineering time, equipment losses: these are not separate issues. They are often the same few problems, showing up in different accounts.
One unsolved problem does not stay in one place. It spreads across the numbers that leadership is measured on.
A chronic problem never appears as a line called “chronic problem.” It appears as a warranty accrual, a sorting headcount, and a customer who stopped growing their orders.
A plant performs only as well as its worst recurring problem allows. Good work everywhere else eventually runs into that ceiling and stops.
When a chronic problem is genuinely eliminated, the money attached to it does not reappear in the next budget cycle.
What better problem solving does
Chronic problems are rarely unsolved. They are solved repeatedly, shallowly, by people under time pressure — and each round costs throughput, quality and the team’s confidence that anything sticks.
The same problem across a year, fixed at the symptom versus closed completely.
What is SolvoNext
SolvoNext is grounded in the ORCALEAN problem-solving success model. It is built for the chronic problems — the ones with real financial and quality impact that keep returning because nobody had the structure or the time to finish them.
It uses the best proven methods rather than inventing new ones: PDCA, DMAIC, 8D, or a custom method shaped to how your plant already works. The team picks the one the problem deserves.
Depth of understanding
A lot of problem solving fails earlier than people think — not at the cause, but at the definition. The team never pinned down what the customer actually needs, which characteristic carries that need, and what the process is genuinely capable of holding. SolvoNext keeps a team on that groundwork: voice of the customer, translated into critical-to-quality characteristics, then compared honestly against the voice of the process.
The gap between what is required and what the process actually delivers is where the real problem lives.
What the customer needs, in their words — including the requirement that was never written on the drawing but gets you a call when you miss it.
That need turned into one measurable characteristic with a target and a limit, so the discussion stops being about opinions and starts being about evidence.
What your process actually does — its centre and its spread — rather than what it was designed to do. The tail outside the limit is the problem.
How deep it goes
Problems become chronic for a plain reason: the first cause found gets fixed and the others are still there. The number improves for a while, attention moves on, and it comes back wearing a different name. SolvoNext works the whole cause set — ruling causes out with evidence, confirming the ones that matter, and keeping the file open until each of them is actually gone.
Partial closure is the most expensive outcome available: it costs the full effort and keeps the problem.
A candidate cause is dismissed on evidence, not on the loudest opinion in the room. What survives that test is worth spending money on.
Removing one cause changes how often a problem happens. Removing all of them changes whether it can happen at all.
The file closes when the measure holds at its new level — not when the action list is complete.
The success model
Software on its own closes nothing. SolvoNext is built around the conditions that actually decide whether a problem stays solved — and it carries a team through all six rather than assuming they are already in place.
The ORCALEAN SolvoNext success model for problem solving.
Who it is for
SolvoNext is intermediate to advanced problem solving. It is for engineers and process people who want to reach real causes and finish the job, for champions building a problem-solving structure across the plant, and for executives who want that capability inside their own organization rather than rented from outside. Behind it sits ORCALEAN’s expertise: statistical analysis, engineering methods, and approaches that hold up on a real shop floor — including knowing which ones quietly do not.
Containment keeps today running. Depth is what removes the problem from next year.
Room to work a hard problem properly, with the reasoning, the data and the evidence in one place instead of scattered across spreadsheets and inboxes.
One structure for the whole plant, so problem solving looks the same everywhere and can be judged on the same terms.
Capability that stays in the building. An organization that gets better at solving is worth more than any single problem solved.
The impact
The method doesn’t allow a close until the cause is verified and the number has actually moved.
Recurrence becomes visible and rare, because every past closure stays on record and searchable.
Reasoning is captured beside the answer, so what was learned the hard way stays in the plant.
The method is the training. Every problem worked leaves the team slightly sharper for the next one.
A confirmed solution becomes a standard, and the standard reaches the other lines before the problem does.
Everyone works from the same statement of the problem, so meetings start at the decision instead of the description.
“Efficient problem solving is the silent driver of throughput, quality, and profit.”
ORCALEAN
Artificial intelligence
AI in SolvoNext is switched on by choice, not by default. Where it helps, it surfaces similar problems already solved elsewhere, clusters causes that keep recurring, and shortens the distance between a symptom and a credible cause.
Before a team starts from scratch, they see whether this has been worked before — here or at another site.
Recurring causes cluster together across months and lines, which is difficult to spot one problem at a time.
AI proposes; the team verifies. Nothing closes on a suggestion alone.
Knowledge resources
Two proven methods, two different kinds of problem. How to tell them apart before you start.
Artificial intelligenceWhere AI genuinely shortens the path to a cause — and where it gets in the way.
MethodThe discipline behind the method that most improvement programs borrow from and few apply properly.
Bring us a chronic one
Thirty minutes. Bring a problem your plant has solved more than once and we’ll walk it through SolvoNext on the call — so you can see where the previous attempts stopped short.
Questions about methods, deployment or IT policy? Ask us on the call.