Operations Performance Mangement
An environment to drive optimization of process performance with troubleshooting, analysis and continuous monitoring.
Take control. Access, Explore and Analyze your data.
TrendMiner’s self-service analytics capabilities are designed to empower all users to analyze their own data, regardless of their needs and analytics maturity. From accessing live data from all production and business data system, to having the platform to become more efficient in their data analysis and coming to better conclusions, faster.
Become a 10x Engineer
Solve issues in minutes, not days. TrendMiner turns process experts into 10x operational problem-solvers that have more impact as an indivual, but can collaborate easily with colleagues.
Users can generate insights using a variety of methods, from simple point-and-click search functionality to creating complex models with Python notebooks.
Performance benchmarking, root-cause diagnostics, and event analytics enable users to identify underperforming assets, benchmark optimal process behavior, and generate hypotheses for improving operational excellence.
Anomaly detection, classification, and forecasting enhance the platform’s ability to provide actionable insights. These AI capabilities support easy detection of unusual events, classification of process conditions, and prediction of future trends.
These tools help users understand what has happened in their processes, identify patterns, and assess the impact and priority of issues.
Value Creation in Operations
It's crucial to deliver tangible results from improvement projects. TrendMiner's 2024 Value Survey (n=220), showed that all the speed and efficiency increases of users also led to value in increased production capacity, downtime reduction, resource savings and quality increases.
Solutions for OPM
To be in control of your plant we have an offering that fits your process, wether it is a continous or batch production. We help you all the way from data exploration to golden batch monitoring so you can increase performance, decrease downtime and make sure you are producing first time right.
Batch Optimization
Improve batch processes through advanced analytics and benchmarking, reducing cycle times and improving product consistency.
Cleaning in Place Tracking
Streamline and optimize cleaning-in-place processes, reducing downtime and ensuring hygiene compliance.
Continuous Process Improvement
Leverage analytics to support ongoing improvements in production processes for higher efficiency and quality.
Cost Reduction
Cut operational costs by optimizing resource allocation, improving process efficiency, and reducing waste.
Downtime Reduction
Minimize production downtime with proactive maintenance and real-time anomaly detection.
Energy Management
Reduce energy consumption and optimize usage with targeted data insights and KPI tracking.
Golden Batch
Identify and replicate optimal production parameters to achieve consistent product quality and efficiency.
Increase Yield
Boost production output through optimized processes, improved quality, and efficient resource use.
Line Balancing
Optimize production lines by balancing workloads and reducing inefficiencies, ensuring smooth and cost-effective operations.
OEE Tracking
Monitor and improve Overall Equipment Effectiveness with real-time data on equipment availability, performance, and quality.
Process Health Monitoring
Maintain process stability by monitoring health indicators and detecting anomalies, enabling proactive interventions and consistent operations.
Process Optimization
Streamline production processes for maximum efficiency, minimal waste, and optimal performance.
Production Reporting
Generate detailed production reports for better transparency, performance tracking, and informed decision-making.
Quality Optimization
Ensure consistent product quality through detailed monitoring and predictive analytics.
Raw Material Reduction
Minimize resource use through data insights and process adjustments, reducing waste while maintaining production quality.
Trend Client / Data Discovery
Empower users with self-service analytics for uncovering patterns, trends, and insights in historical data.
Waste Reduction
Identify inefficiencies and minimize production waste through data-driven optimization.
Operations Performance Management FAQ
Operations Performance Management (OPM) is a comprehensive approach to monitoring, analyzing, and improving the efficiency and effectiveness of your operational processes. It involves using data to gain insights into how your plant or production environment is performing against key metrics such as throughput, quality, resource utilization, and cost.
Why it's crucial: In essence, OPM helps you identify bottlenecks, reduce waste, minimize downtime, and ensure consistent product quality. By systematically managing performance, businesses can make data-driven decisions, respond faster to changing conditions, drive continuous improvement, and ultimately enhance profitability and competitive advantage. Without a solid OPM strategy, you might be missing significant opportunities for optimization and cost savings.
Improving operational efficiency and cutting costs are core goals of any OPM initiative. This often involves a multi-faceted approach:
Identifying Inefficiencies: Pinpoint areas in your processes that are underperforming, consuming excess resources, or causing delays.
Optimizing Resource Usage: Ensure raw materials, energy, and equipment are used optimally to minimize waste.
Streamlining Workflows: Analyze and refine production steps to eliminate non-value-added activities.
Reducing Downtime: Proactively address potential equipment failures and shorten the duration of any unexpected stops.
Enhancing Throughput: Maximize the output of your existing assets.
How TrendMiner helps: TrendMiner's self-service industrial analytics platform empowers your engineers and subject matter experts to dive deep into historical and real-time process data. They can quickly identify patterns, diagnose root causes of inefficiencies, compare production runs, and discover opportunities for optimization in areas like raw material consumption, energy usage, and cycle times, leading to tangible cost reductions.
Operational downtime is a significant drain on productivity and profitability. Effective strategies to reduce it include:
Root Cause Analysis (RCA): Don't just fix symptoms; thoroughly investigate the underlying causes of equipment failures or process interruptions.
Predictive Maintenance (PdM): Move from reactive or preventive maintenance to predicting potential failures based on operational data and sensor readings, allowing for planned interventions.
Early Anomaly Detection: Identify subtle deviations from normal operating behavior before they escalate into major problems.
Standardizing Best Operating Zones: Define and monitor optimal operating conditions to prevent excursions that could lead to trips or failures.
How TrendMiner helps: TrendMiner enables rapid root cause analysis by allowing users to easily search through historical data for similar past events and compare operational parameters. Its pattern recognition and anomaly detection capabilities help identify early warnings of potential issues. Furthermore, engineers can define "golden batch" fingerprints or optimal operating windows and set up monitoring and alerts to proactively manage deviations, significantly reducing unplanned downtime.
Maintaining high product quality and consistent processes are key to customer satisfaction and regulatory compliance. OPM contributes by:
Identifying Key Process Variables: Understanding which parameters have the most significant impact on product quality.
Monitoring Critical Parameters: Continuously tracking these variables against defined limits.
Analyzing Deviations: Quickly investigating why and when quality issues or process inconsistencies occur.
Optimizing for Consistency: Refining processes to reduce variability and ensure repeatable outcomes.
How TrendMiner helps: With TrendMiner, your teams can easily correlate process parameters with quality outcomes, identifying the critical factors influencing your product. They can compare batches, analyze deviations from the "golden batch" or ideal process conditions, and troubleshoot quality issues faster. This data-driven approach leads to more consistent processes and higher first-time-right production.
Data analytics is the engine of modern OPM. It transforms raw operational data into actionable insights by:
Providing Visibility: Offering a clear view of what’s happening in your processes.
Enabling Diagnosis: Helping to understand why events occur and identify root causes.
Supporting Prediction: Allowing for forecasts of future performance or potential issues.
Guiding Optimization: Highlighting opportunities for improvement and verifying the impact of changes.
How TrendMiner helps: TrendMiner is specifically designed as a self-service industrial analytics platform, making advanced data analysis accessible to your process experts without requiring data science expertise. It allows your team to independently explore process data, diagnose problems, monitor performance in real-time, and even predict potential deviations. By empowering your operational staff with these capabilities, TrendMiner accelerates data-driven decision-making and helps you extract maximum value from your OPM strategy, leading to continuous improvement across your operations.
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