Predictive Maintenance
Use equipment and condition data to anticipate failures early.
Effectiveness and reliability start where production and maintenance stop working in silos
We reframe this relationship through our TPM Consulting, embedding predictive and planned approaches into daily routine, so maintenance becomes what it’s designed to be: a support function that keeps production running, not a firefighting crew called in after the damage is done.
Kobetsu KAIZEN™
Kaizen Institute’s process is a key strength of our improvement system. The whole company is systematically looking for improvement opportunities.
For us, success isn’t just about hitting KPIs. It’s about creating a culture where improvement is embedded in everything we do.
We’ve worked with consultants before, and the pattern is usually the same: they teach you the theory, and then they leave. What was different here with Kaizen Institute was that the theory came with practical application: on the line, with the operators, in the actual space where things needed to change.
Cultural change happens when people start seeing opportunities on their own and acting on them without being asked. There is no exact moment when that occurs, but when you see it, you recognize it. It is the most reliable indicator that the model has truly taken root.
I have been deeply inspired by the entire KAIZEN™ methodology since I began to understand this process of small improvements that enhance day-to-day work.
We use the Hoshin Kanri methodology to execute an annual strategy across the company, cascading it into sub-strategies within different departments, which are in turn deployed across various management boards.
When breakdowns dictate the production schedule: firefighting maintenance teams, recurring failures on critical equipment, rising maintenance costs and spare parts stock, low or unstable OEE, and aging assets whose replacement business case keeps being postponed. Reactive maintenance is the most expensive maintenance there is; it just spreads the cost across production losses.
It rebuilds the maintenance system around total productive maintenance principles. Operators take ownership of basic equipment care through autonomous maintenance, planners shift work from reactive to preventive, failure data drives criticality-based strategies, and predictive maintenance technologies are applied where their cost is justified by the risk. Maintenance and production stop working as adversaries.
The program starts from the losses of not stopping: every unplanned breakdown costs more time than the planned intervention that would have prevented it. Planned windows are phased in on critical equipment first, often inside existing changeovers and low-demand periods, and the recovered reliability quickly funds the discipline.
Typical trajectories show breakdown reduction and OEE gains on pilot equipment within months, followed by falling maintenance costs and spare parts inventory as the preventive plan matures. MTBF rises, MTTR falls, and over a longer horizon asset life extends, deferring capital expenditure that was assumed inevitable.