OEE Workshop – Identifying Production Losses and Improving Overall Equipment Effectiveness
In many companies, significant production potential remains untapped: machines experience unplanned downtime, actual output falls short of targets, and scrap or rework compromise quality. However, there is often a lack of standardized data, clear metrics, and a shared understanding of where the greatest production losses occur.
Our OEE workshop will show you how to systematically measure and improve the overall equipment effectiveness of your machines, production lines, and workstations. You’ll learn how to accurately assess availability, performance, and quality; identify the causes of losses; and develop concrete actions for the shop floor. In this way, OEE becomes an effective tool for lean management, maintenance, and sustainable production improvement.
Here's what the OEE Workshop boils down to
- Understanding the OEE Metric
- Transparent Analysis of Production Losses
- A Reliable Data Foundation for Calculations, Visualization, and Management Reporting
- Prioritized Improvement Measures for Machines, Production Lines, and Workstations
- A Concrete Economic Analysis and Prospects for Implementation
Content and Benefits of Our OEE Workshop
The workshop is customized to your specific production processes, machinery, data sources, and improvement goals. The modules combine OEE fundamentals, data collection, loss analysis, and economic evaluation with concrete, practical applications.
Module 01
Understanding OEE and Identifying Production Losses
Result: Participants will be able to interpret OEE metrics and identify the main sources of loss in production.
- The Basic Principle and Significance of Overall Equipment Effectiveness
- Relationship Between Equipment Availability, Actual Speed, and Yield
- Use of the Key Performance Indicator for Operational Control and Management Decisions
- Identifying the Six Main Types of Losses in Production
- Special Considerations for Standalone Machines, Interlinked Systems, and Manual Workstations
- Joint Definition of Reference Periods, Downtime, Scrap, and Target Output
Module 02
Collect, process, and analyze production data
Result: A robust data foundation and a clear understanding of the key drivers for performance improvement.
- Comparison of Manual, Excel-Based, and Automated Data Collection
- Use of MES, IoT, MDE, and BDE as Data Sources
- Requirements for Downtime, Runtime, Quantity, and Quality Data
- Establish uniform data definitions and harmonized data collection logic
- Correctly account for shifts, timestamps, and different reporting periods
- Creating informative overviews and dashboards for the shop floor and management
- Identify loss patterns and prioritize areas for improvement based on their impact
Module 03
Plan measures, evaluate cost-effectiveness, and begin implementation
Result: A prioritized action plan with a cost-benefit analysis and a concrete implementation strategy.
- Calculating and Interpreting OEE Values from a Real-World Data Set
- Analyze discrepancies in availability, speed, and quality
- Select improvement measures based on benefits, effort, and feasibility
- Evaluating the Economic Viability of Investments in Sensors, Software, or Automated Analysis
- Determine potential savings, payback period, and cost-benefit ratio
- Coordinate measures for the shop floor, engineering, and management
- Applying the Results to Your Own Use Case
- Determining the next steps for the implementation, piloting, or further development of the OEE system
Are you looking for something else? An overview of all workshops.
Who is the OEE Workshop intended for?
The workshop is designed for companies that want to reduce production losses, improve key performance indicators, and systematically enhance their manufacturing processes.
- Production Managers and Manufacturing Supervisors
- Shop Floor and Plant Management
- Maintenance and Technical Managers
- Lean Management and Operational Excellence Teams
- Quality Management and Process Owners
- Production Planning and Industrial Engineering
- IT, MES, MDE, and BDE Managers
- Companies that are implementing OEE for the first time or want to improve their existing metrics
Tangible results—that’s what you’ll get after the OEE workshop
After the workshop, you will have the knowledge and tools to effectively apply OEE in your production and use it strategically to improve quality, performance, and availability.
- A thorough understanding of the OEE framework
- Clarity on the Six Big Losses and Key Production Losses
- A structured framework for data collection and calculation
- Transparency Regarding Losses in Availability, Performance, and Quality
- Prioritized Improvement Measures for the Shop Floor
- An Assessment of Benefits, Effort, and Cost-Effectiveness
- Specific Next Steps for OEE Implementation, Optimization, or Automation
OEE Workshop: Group Size, Location, and Cost
To ensure that the organization, timing, and impact are optimally aligned, we clarify the parameters early on and tailor the format and scope to your goals.
- Group size: Workshops for up to 20 people; larger groups by request
- Location & format: on site at your premises, remote or hybrid; on request in our office in Munich
- Cost: Depends on the number of participants, duration, and desired level of detail—available upon request
- Optional: OEE assessment, dashboard design, data modeling, MES/IoT consulting, and implementation support
Your Contacts for the OEE Workshop
OEE Workshop: About Ventum Consulting
Over 20 years of experience in manufacturing
Lean management, digitalization, and operational improvement are linked.
Practical OEE Methodology
Key metrics are explained in an easy-to-understand way and applied directly.
Data and Processes Viewed Together
From data collection to improvements on the shop floor.
Technology-neutral approach
Excel, MES, IoT, MDE, and BDE are evaluated based on specific needs.
Economic Focus
Measures are classified according to their benefits, costs, and payback period.
From Analysis to Implementation
We provide support for OEE implementation, optimization, and automation.
Our references and projects
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- Transparency: Highlighting Losses in Availability, Performance, and Quality
- Data-Driven: Generating Reliable OEE Metrics for the Shop Floor and Management
- Field-Tested: Analyzing Real Machines, Production Lines, and Data
- Economic: Prioritize measures based on impact, cost, and payback period
- Strong Implementation: Embedding OEE Sustainably in Production and Maintenance
TISAX and ISO certification apply only to the Munich location
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FAQ – Frequently Asked Questions About the OEE Workshop
OEE highlights where production capacity is being lost. This enables companies to analyze downtime, speed losses, and quality issues in a targeted manner and focus their efforts on the biggest sources of loss.
The data required includes, among other things, scheduled and unscheduled downtime, operating times, target and actual quantities, cycle times, as well as scrap and rework data. The specific information required depends on the machine, the process, and the objective of the analysis.
Yes. You can also get started using Excel, checklists, manual data entry, or shop floor boards. The workshop will also explore when automated data collection via MES, MDE, BDE, or IoT systems is worthwhile.
To this end, we establish standardized definitions, posting rules, time references, and responsibilities. We also examine common sources of error, such as incomplete downtime reasons, differing shift rules, or data sources that are not comparable.
For both target groups. Production and shop floor teams are provided with specific methods for data collection and loss analysis. Management and executives learn how to use OEE results for control, prioritization, and investment decisions.
Yes. Whenever possible, we work with actual machines, production lines, or workstations from your company. This allows us to apply OEE calculations, data quality, and improvement measures directly to your production.
Measures are evaluated based on their expected impact, effort, urgency, and economic benefits. This results in a clear prioritization of quick wins, medium-term improvements, and potential digitization or automation projects.
Yes. Upon request, we can support the implementation with our OEE consulting , dashboard design, data modeling, shop floor optimization, MES / IoT consulting , and regular review formats.