How do you work with continuous improvements in production?

Continuous improvement means that the plant systematically and continuously identifies losses, addresses root causes, and ensures that improvements sustain, in small steps that never end. The work is driven in a recurring cycle: measure, analyse, prioritise, act, follow up. An OEE system provides this cycle with a factual baseline because it shows where losses are, how large they are, and whether actions have delivered results.

The concept of continuous improvement originates from Lean and the Japanese Kaizen tradition, but the principle is simple and universal. Major results are built from many small improvements implemented with perseverance. This guide covers what is required to make improvement work function in practice, why most initiatives lose momentum, and how an OEE system becomes the engine that keeps the effort alive.

Why do most improvement initiatives lose momentum?

Most improvement initiatives lose momentum because they are managed as projects rather than as ways of working. A project has a start and an end. When the consultant goes home, the internal champion changes jobs, or management shifts focus to the next initiative, the work fizzles out. Continuous improvement is, by definition, not a project. It is a rhythm that must be embedded in daily operations.

Experience from the hundreds of factories Good Solutions has worked with shows six success factors: clear goals and a vision to work toward, the competence to analyse and act, team motivation, resources in the form of dedicated time, a reliable factual baseline, and a concrete action plan. If one is missing, the effort falters.

The element most often missing is resources. Improvement work requires time, and time must be allocated by management. The second most common shortfall is the factual baseline. Without reliable data on where losses occur, prioritisation becomes guesswork, and guesswork produces random results.

An OEE system permanently resolves the factual baseline and makes results visible, which in turn reinforces motivation.

What does the improvement cycle look like in practice?

The improvement cycle consists of five repeating steps: measure, analyse, prioritise, act, and follow up. Each step has concrete meaning on the factory floor.

Measure. Automated data collection from machines combined with operator categorisation of downtime reasons. Measurement must be continuous, not a one-off effort. Factory data shows that around 80% of stoppage reasons are not machine-related, which is precisely why operator categorisation is vital.

Analyse. Break down losses by reason, line, article, shift, and time. Look for patterns. Which losses are frequent but brief? Which are rare but costly? Which recur on the same machine component?

Prioritise. Choose few things. Three prioritised losses backed by real resources beat ten that no one has time for. Prioritise by value: the loss that costs the most capacity or the most money comes first.

Act. Root cause analysis, corrective action, assigned owner, and target date. Small actions are implemented immediately; larger ones are scheduled. Involve operators, as they often both see the cause and know the solution.

Follow up. This is where successful factories diverge from the rest. Follow-up shows whether the action had an impact. If the downtime reason disappears from the statistics, it works. If it remains, you run another loop in the cycle. Without follow-up, no one knows what worked, and the same problem gets addressed multiple times.

At Sibbhultsverken, this cycle was run systematically over 12 months. The outcome was a 19.4% higher OEE in one cell and 40% in another, 73% fewer technical stops, 63% fewer unplanned stops, and 30% lower scrap costs. Volume increased by 15% without adding shifts. None of this came from a single massive intervention. It all came from many small improvements.

What role does an OEE system play in continuous improvement?

The OEE system serves three functions: it reveals where the potential lies, it makes results visible, and it proves what actually works.

It reveals where the potential lies. Without loss analysis, improvements are prioritised on gut feeling, and gut feeling is frequently wrong. With loss analysis, it is clear in black and white which losses cost the most. At Barilla Wasa in Filipstad, systematic work on losses increased utilisation from 75% to 94%, raised net production by 15%, and cut downtime by 22%. At the same time, CO2 consumption dropped by 28%, because better-utilised machine time is also more energy efficient.

It makes results visible. Motivation is built on visible progress. When the team sees the OEE curve shift upward after an action they suggested themselves, it generates the momentum that keeps the work going. Dashboards on the shop floor make progress part of daily life, not just a figure in a report read by management.

It proves what actually works. Without measurement, it is easy to assume an action worked. With measurement, the truth is exposed. This protects the team from wasting time on interventions that feel good but deliver no actual effect.

How do you get started without making it overwhelming?

Get started by keeping the scope narrow, proving value, and scaling from there. Factories that try to improve everything at once spread their resources so thin that nothing gets completed. Successful factories choose one line or area where the value is clearest, run the improvement cycle there, and use the result as proof to scale.

Willo in Växjö, a contract manufacturer with around sixty CNC machines, illustrates how quickly the launch can go when sequence is respected. Half the factory was trained and operational on the platform within six weeks, and the other half followed at the same pace. Willo had also completed Produktionslyftet earlier, providing a foundation in lean practices to connect the data to. That combination of working methods and a factual baseline is precisely what continuous improvement requires.

A solid starting sequence looks like this: select a defined area, secure data quality there, run the improvement cycle for three months with clear priorities, show the results to the organisation, and then scale to the next area. Proof from the first area makes the rest of the rollout smoother, as no one needs to be convinced in theory anymore.

How do you keep the work alive over the years?

The effort is sustained through rhythm, visibility, and consistent demand from management. Three mechanisms make the greatest difference.

The cadence. Daily shop floor management captures deviations, weekly improvement meetings drive actions, and monthly reviews highlight trends. Once the cadence is established, improvement work becomes part of how the plant operates, not an extra task run on the side. Connecting this to the factory's capacity planning with a 3- to 6-month horizon makes that increased capacity deliver a substantial financial impact.

Visibility. Visible results build pride, and pride builds stamina. Orkla Nidar in Trondheim has worked with the platform since 2016 and raised the entire plant's OEE by 10%. That represents ten years of sustained work, not a temporary campaign.

Management demand. When leadership regularly asks for the same factual data the teams work with, it signals that the work matters. When management stops asking, it is interpreted as a shift in priorities, and the effort quietly dies out. Continuing to ask costs nothing, yet it determines whether the work survives.

How does Good Solutions support continuous improvement?

Good Solutions is a platform built to help manufacturing plants drive continuous improvement and includes an OEE system. We call it the Manufacturing Improvement Platform.

Machine connectivity and operator interfaces secure the factual baseline. Loss analysis across reports and timelines pinpoints where potential lies. Dashboards make progress visible to everyone, from operator to CEO. Quality management, maintenance, and energy connect to the same data, allowing improvement efforts to span the entire operation.

Surrounding the platform are services targeted directly at sustainability. The OEE Acceleration Programme is a structured 4- to 6-month programme for teams already using the platform who want to pick up pace: an on-site current-state analysis, clear targets, a concrete action plan, and regular follow-ups. The 5-day restart programme helps factories where efforts have stalled to get back on track, featuring system reviews, signal verification, and skill building across various roles. Operational onboarding ensures that standard ways of working are embedded right from the start.

Customer results reflect this consistent pattern. Kavli produced 5,000 tonnes more in 2024 than the previous year without extra shifts or machinery. Paulig UK raised overall factory OEE by 10% within 12 months. TitanX increased net output on a line by 19% in a single quarter. In every case, structured improvement work generated the results, powered by the platform as the source of truth.

Frequently asked questions

What is the difference between continuous improvement and an improvement project?
A project has a start and an end; continuous improvement does not. A project resolves a defined problem; continuous improvement is an operating cadence where the factory continuously identifies and eliminates losses. A project can be part of the work, but it is the cadence that delivers results over time.

How much time does continuous improvement require?
Less than most expect, but the time must be protected. A daily shop floor meeting of fifteen minutes, a weekly improvement meeting of one hour, and dedicated time for assigned owners to implement actions. A lack of dedicated time is the primary reason efforts fail.

Where should we start if our OEE is around 50%?
With loss analysis. At 50% OEE, there are almost always a few dominant loss categories, frequently changeovers, recurring technical stops, or unassigned downtime. Prioritise the largest, resolve them, follow up, and tackle the next. The industry average lies between 50% and 60%, meaning this baseline is entirely typical and the potential is significant.

Do we need Lean training before we start?
No, but the fundamentals help. The most crucial step is to get the cycle moving: measure, analyse, prioritise, act, follow up. Methods like PDCA, SMED, and root cause analysis can be adopted progressively, ideally linked to real problems on your own factory floor rather than taught in a classroom.

How do we know if our improvement work is effective?
In two ways. Targeted losses should decrease or disappear entirely from the data. The trend across OEE, quality, and changeover times should move in the right direction over several months. If actions are completed but the numbers do not shift, it indicates that root causes were not truly addressed, requiring deeper analysis.