Specialized Consulting
Production indicators done right.
From calculation to results.
Whether OEE, PR, reliability or any other indicator, the challenge lies not only in defining the calculation, but in applying it consistently across the operation.
H2W helps structure the criteria, calculations and above all the data entry process — making it simple for the operator and reliable for management. The result is consistent data, free of rework and immediately available for decision-making.
Our work combines decades of hands-on experience with a methodology validated academically and refined across projects with clients in multiple countries.
From methodology to practice
You already have a calculation — the details that close the account are what we work on
Most companies already have a calculation methodology — often coming from their headquarters. What’s missing are the details that make it work in practice: how to weight the cycle time, how to handle multiple speeds in the same shift, how to make operator data entry easy without sacrificing data reliability.
Weighted cycle time: by quantity or by time?
When a line produces different products or runs at different speeds in the same shift, the reference cycle time needs to be weighted. But should the weighting be based on quantity produced or on the time each speed was active? Each approach yields a different result — and the right choice depends on the process and what the company wants to measure.
Operator interface and data reliability
Making data entry easier and ensuring record reliability are goals that must go hand in hand. Intuitive interfaces, real-time validations and consistency rules reduce operator effort and eliminate questionable data before it enters the indicator calculation.
ERP integration and eliminating rework
Much of the operator’s rework comes from entering in the system what is already in the ERP. By leveraging the SKU and product master data from SAP, we automate order opening and closing, order reporting and system consistency — with no double entry.
Stoppage classification and team acceptance
Defining what counts as operational vs. non-operational downtime is already challenging — but the calculation only truly works when operators, supervisors and managers understand the rules, trust the number and recognize it as fair. Building that consensus is part of the work, not a footnote.
Services
What we offer
From the initial assessment to autonomous team operation, we cover the full cycle of implementation and consolidation of production indicators.
OEE Methodology Assessment
Analysis of the current calculation structure. We review each definition — stoppages, cycle times, scrap, time categories — and evaluate how to organize them so the indicator faithfully reflects the company's processes.
- Review of planned time definition and stoppage categories
- Validation of registered cycle times and ideal speeds
- Analysis of scrap and rework classification
- Report with findings and prioritized recommendations
Implementation & Configuration
Full configuration of ProMOS® Production with the correct parameters for each line, product and shift — ensuring reliable OEE from the very first entry.
- Setup of machines, products and validated cycle times
- Structuring stoppage reasons (planned vs. unplanned)
- Configuration of alerts, targets and management dashboards
- Integration with Maintenance, Quality and Safety modules
Training & Knowledge Transfer
Empowering the team to interpret, question and evolve indicators autonomously — without permanent dependence on external consulting.
- Operator training on correct data entry
- Leadership training for analysis and decision-making
- Building an indicator review routine (daily/weekly)
- Documentation of the calculation standard accepted by the team
Methodology
How we work
A structured process with clear phases and defined deliverables at each step.
Understanding the context
Initial meeting to map the production process, shifts, manufactured products and current data collection approach. We understand the company's culture before proposing any change.
Assessment of current indicators
Analysis of existing reports, spreadsheets or the system currently in use. We understand how OEE is calculated today, what definitions have been adopted, and where there is opportunity to better organize data capture and classification.
Proposed standardized model
We present a calculation model aligned with academic methodology and the company's operational reality — validated with production, quality and maintenance leadership before implementation.
ProMOS® configuration and ERP integration
We parametrize the system with the agreed definitions: machines, products, cycle times, shifts, stoppage categories. Where applicable, we configure ERP integration — leveraging SAP SKU master data, automating order management and eliminating double entry. Data collection becomes automatic and reliable from day one.
Monitoring and fine-tuning
In the first 30 days after go-live, we monitor results, correct any deviations and ensure that the indicators are stable and recognized by the entire team.
Academic research
Methodology validated with real data
Our approach is grounded in a master's degree research study conducted using data collected by the ProMOS® software itself in Brazilian industries — not generic textbook theory.
The study investigated the association between OEE and other industrial indicators, generating practical conclusions about which metrics truly impact productivity and how to structure them consistently.
Associations identified between OEE and:
Differentials
Why choose H2W
We are not a generic lean consulting firm. We develop the software, understand the data at its source, and have been working with Brazilian industries for over a decade.
Master's in Production Management
Consulting is led by a professional with a master's degree in the field, whose dissertation used real ProMOS® data to investigate the association between OEE and other industrial indicators.
Software manufacturer
As the creators of ProMOS®, parametrization is done at the deepest layer of the system — no workarounds, no parallel spreadsheets. Data comes out correct from the point of collection.
Integrated view of indicators
OEE doesn't exist in isolation. Research confirmed that safety, quality and maintenance have a direct association with efficiency. That's why we work on the modules in an integrated way.
Real knowledge transfer
The goal is for the company's team to master the indicator — not to depend on us indefinitely. We deliver training, documentation and operating standards alongside the project.
Global presence
We have served companies across multiple countries, in different industries and at different scales. Most of our active projects today are outside Brazil — an experience that combines shop-floor rigour with the diversity of operations around the world.
An indicator accepted by everyone
The best OEE is one that operators, supervisors and directors understand, trust and use in decision-making. We build this consensus internally before any go-live.
Frequently asked questions
Questions about the consulting
Do I need ProMOS® installed to hire the consulting?
Not necessarily. The initial assessment can be done even with spreadsheets or another system — what matters is understanding how the calculation is currently structured. For the configuration and implementation phase, we work with ProMOS®, where we set everything up correctly at the data collection source.
How long does a complete project take?
A complete project (assessment + implementation + training) takes on average 6 to 12 weeks, depending on the number of lines, product complexity and internal team availability. The assessment alone can be delivered within 2 weeks.
Do small companies benefit too?
Yes. In fact, smaller companies have more to gain from a well-structured OEE, since each hour of downtime has a proportionally greater impact. The research used production lines from industries of different sizes — the methodology adapts to each operation's reality.
Do you also work with TEEP and other indicators beyond OEE?
Yes. Although the central focus is OEE, we work with the full ecosystem of productivity indicators: availability, performance, quality, MTBF, MTTR, rejection index and safety observations. The academic research specifically identified which of these indicators have a statistical association with OEE — and we use this to prioritize what to monitor.
Is the consulting on-site or remote?
We offer both formats. Typically, the initial assessment and training phases are highly effective in a remote format. System configuration and go-live support can be done in a hybrid approach, with on-site visits when necessary.
Next step
Want to talk about your production indicators?
Get in touch for an initial no-commitment conversation. We understand your process and evaluate together how to organize the calculation so OEE faithfully reflects your operation's reality.
