Data Analytics
Data Analytics for Efficiency
At Advanced Mechanix, we utilize data analytics to optimize operations, drawing on our successful collaborations with industry leaders. Our comprehensive approach includes:
Engagement of Resources/Consultants
Understanding client needs and developing a vision for data analytics and AI-based process improvement.
Visual Dashboards Creation
Creating dashboards with numerous charts to visualize data.
Basic Trends and Comparisons
Initial analytics to understand data behavior and identify trends.
Deep Data Fusion
Going beyond dashboards to operationalize enhancements for maximum savings.
Key Focus Areas
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Workforce and Material Optimization
Allocating resources effectively and minimizing waste.
Incident Tracking and Prediction
Minimizing injuries and ensuring a safer work environment.
Most Consulting Firms Stop Here
Step 1 – Engagement of Resources/consultants
Management develops a vision to use Data Analytics and AI based process improvementStep 02 – Visual Dashboards creation
There are several dashboards created with number of chartsStep 03 – Basic trends and Comparisons
Initial Analytics to understand data behavior.Most Consulting Firms Stop Here
Step 1 – Engagement of Resources/consultants
Management develops a vision to use Data Analytics and AI based process improvementStep 02 – Visual Dashboards creation
There are several dashboards created with number of chartsStep 03 – Basic trends and Comparisons
Initial Analytics to understand data behavior.The actual savings are in Deep Data Fusion and Operationalizing these changes
Step 4: Deep Data Fusion
Advanced analytics for deeper insights. Such as Fourier Transforms of Harmonics, Hydrocarbon decay and equipment predictive failure
Step 5: Process Optimization and corporate change
Redesign, back-test, and implement for major savings. Also implement organizational change and vision
Our consultants extensively explore the underlying physics of challenges, focusing on areas like Hydrocarbons, Vibration analysis, Reliability Engineering, Root Cause Analysis Process mining and Preventive Maintenance.
Using our developers’ deep understanding of the dataset, we apply AI to uncover potential savings and details often overlooked by human analysis.
The actual savings are in Deep Data Fusion and Operationalizing these changes
Step 4: Deep Data Fusion
Advanced analytics for deeper insights. Such as Fourier Transforms of Harmonics, Hydrocarbon decay and equipment predictive failure
Step 5: Process Optimization and corporate change
Redesign, back-test, and implement for major savings. Also implement organizational change and vision
Our consultants extensively explore the underlying physics of challenges, focusing on areas like Hydrocarbons, Vibration analysis, Reliability Engineering, Root Cause Analysis Process mining and Preventive Maintenance.
Using our developers’ deep understanding of the dataset, we apply AI to uncover potential savings and details often overlooked by human analysis.
Success Stories
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Labour Expenditure Optimization
- Opportunity Size: Weekly: 250,000 labor hours, 152,000 unused, indicating significant cost leakage.
- Approach: AI-driven analysis of logged hours, fine-tuning 185k job estimates.
- Outcomes: 15% potential yearly savings (~$60M annually), 16% cost reduction in the proof of concept phase.
Al-Driven Material & Quantity Forecast
- Opportunity Size: Addressing inefficiency and cost from material unavailability-driven reschedules, saving $16 million annually.
- Approach: AI-driven asset profiling, standardized material lists, and data-driven lead time alarms.
- Outcomes: Material accuracy up by 38%, significant cost savings from reduced reschedules and optimized inventory management.
Hydrocarbon Analysis - Lubrication
- Opportunity Size: Overlooking lubrication standards in large machine portfolios risks major engine failures.
- Approach: Deploy AI to refine oil replacement strategies, integrate oil analysis with third-party vendors, model individual asset compartments for predictive failure analysis.
- Outcomes: Identified neglected assets, rectified suboptimal practices, pinpointed cost-inefficient machines, and proactively predicted impending oil failures.
Example of Success
Collaboration with one of the largest mine operators in the world.
- Achieved savings of over $140 million USD per year for a single client.
- Integration of Al-driven process improvements and deep data analysis to optimize resource use and enhance operational efficiency.