Our approach
Start from the business, work down to the equipment
A machine only matters in terms of what it does for the customer. Starting from the commercial outcome and working down changes which problems get picked, in what order, and who has to be part of solving them.
What does the customer need from this operation?
Which of delivery, quality, or cost has to move?
What in the process, the people, or the data decides it?
01 · The why
A plant exists to serve a customer
A line that runs beautifully and ships late has not improved. The customer's judgment is the only test that comes from outside the building, and it is the one that decides whether the business keeps the order.
Because the customer is the only outside test
Utilization, uptime, and cost per unit matter because of what they do to delivery, quality, and price. Served or not served is the judgment that comes from outside the plant.
Because it changes which problems get picked
Starting from the commercial outcome reorders the work. The loudest problem on the floor often costs the customer the least.
Because it is what we report against
An engagement is judged on whether the customer is served better than before, measured against the baseline set at the start.
02 · The what
The customer judges three things
Delivery, quality, and cost. Lifting one at the expense of another only moves the problem, so every engagement names which of the three it is meant to improve.
Delivery
- Capacity against real demand
- Changeover and setup time
- Unplanned downtime
- Material availability
Quality
- Process capability
- Specification clarity
- Adherence under pressure
- Detection at the source
Cost
- Yield and scrap
- Labor per unit
- Energy and consumables
- Capital utilization
03 · The how
End-to-end manufacturing, from demand to shipment
A bottleneck is rarely where it appears. A changeover problem traces back to scheduling; a yield problem traces back to how the process was specified. We look at the whole chain before recommending a change to any part of it, and we can work anywhere along it.
The manufacturing process is part of the product
Customers never see the process, and they receive its output in every shipment. Delivery, quality, and cost are all decided by how the product gets made, which means improving the product means changing the process, the equipment, and the way people run both.
- 01
Demand & Planning
- Forecast against real capacity
- Schedule and sequencing logic
- Capital and resource prioritization
- 02
Process & Equipment
- Machine and process design
- Controls and automation
- Capability against specification
- 03
Production Execution
- Changeover and line balance
- Standard work and adherence
- Quality at the source
- 04
Materials & Flow
- Inventory and staging
- Material handling and logistics
- Traceability through the line
- 05
Data & Sustainment
- Metrics people act on
- Maintenance and reliability
- Ownership after handover
Engagements can begin at any stage. What stays the same is the scope of the diagnosis: we measure upstream and downstream of the problem before committing to a fix.
Our framework
Webineering methodology
SOLVE is Webineering's own methodology, developed on the floor and applied to every engagement we take on. Two stages define what to solve; three define how it gets solved and stays solved. The same discipline applies to a single machine, a full line, or an operating strategy.
Study the problem
Find the root cause
Direct observation, hard data, and conversations with the people closest to the work. The stage ends with a defined problem and a measurable baseline to work from.
Outline the opportunity
Rank it and align on it
Each opportunity is quantified, sequenced against real constraints, and pressure-tested with the people who will carry it. Alignment on scope and value is part of the deliverable.
Launch the solution
Engineer the change
Solutions are sized to the equipment, procedures, and people that have to run them, with training and readiness built into the launch.
Validate in the field
Prove it in operation
Performance is measured against the baseline and adjusted in place until the change runs reliably under normal conditions. Adoption is won or lost in this stage.
Engage & sustain
Transfer ownership
Monitoring, coaching, and scheduled reviews keep results from drifting, while ownership transfers deliberately to the internal team.
Underneath all of it
Two things decide whether any of it works
Whatever the stage, the same two questions apply. Do we know what is actually happening, and do the people running the process want it to work? A change can survive a weak answer to one. It never survives a weak answer to both.
- Start from the decision, then work back to the measurement that supports it.
- Use the signals the equipment already produces before specifying anything new.
- Establish a baseline before the change, so the result can be proven afterward.
- Put the number where the person who acts on it will see it, at the time they act.
- Skepticism is earned, and it is information. When a crew expects the change to be gone by spring, that history tells us something about what was tried before and why it failed.
- The existing method is usually right about something. Workarounds on the floor encode real knowledge about the equipment. Part of the work is finding which ones to keep.
- Culture sets what a change has to survive. How a plant handles a bad shift, who gets asked, what gets escalated. A solution has to work inside that.
- A change nobody argued with is a warning sign. If no one pushed back during design, the people who have to run it were probably not in the room.
The standard we work to
Every change gets judged the same way
Did it help the business serve its customer better? Delivery, quality, and cost, measured against the baseline we set at the start. If the answer is no, the work is not finished. Three commitments keep us to that.
The outcome is the deliverable
An engagement is finished when the result stands on its own and your team can hold it there.
Execution is harder than analysis
Analysis is table stakes. Three of the five SOLVE stages exist after the plan is written.
People decide whether it holds
Technology works when it amplifies the expertise already on the floor. Adoption is engineered.
Engagement starts with a discovery call