01
DATA SOURCE
Production Data
Batch quantities, target quantities, actual material consumption, plant activity and production history.
CONCRETE MIX DESIGN OPTIMIZATION
Optimize materials.
Control variability.
Protect performance.
We combine production data, laboratory results, mix design information and advanced analytics to identify opportunities for reducing unnecessary material usage while maintaining concrete quality and performance.
DATA-DRIVEN MIX DESIGN INTELLIGENCE
MATERIALSOptimized
QUALITYProtected
VARIABILITYMeasured
Your Data. Your Mixes. Your Advantage.
WHY MIX OPTIMIZATION MATTERS
Concrete performance
should not depend
on assumptions.
Ready-mix producers generate thousands of data points through batching systems, laboratory testing and quality-control processes.
When this information is analyzed together, it can reveal material variability, excessive overdesign, inconsistent batching behavior and opportunities for more efficient mix designs.
Iribarren Concrete Intelligence transforms that operational data into analytical decision support for quality-control and operations teams.
THE DATA FOUNDATION
Production meets
laboratory intelligence.
Mix optimization becomes more powerful when production behavior and laboratory performance are analyzed as parts of the same system.
02
DATA SOURCE
Laboratory & QC Data
Compressive strength, slump, air content and other available quality-control results.
03
DATA SOURCE
Mix Design Data
Cementitious materials, aggregates, admixtures, water and design specifications.
04
DATA SOURCE
Operating Conditions
Plant, production volume, seasonal patterns, weather and other operational factors when available.
PRODUCTION DATA INTEGRATION
Turn batching history
into actionable intelligence.
Production systems such as Command Alkon contain detailed records of what was designed, what was actually batched and how production changed over time.
By connecting this information with laboratory and mix-design data, producers can move beyond isolated reports and begin understanding the relationships between materials, production variability and concrete performance.
MIX DESIGN OPTIMIZATION PROCESS
A continuous analytical cycle.
01Connect the DataIntegrate production, mix design and laboratory information into a reliable analytical dataset.
02Measure VariabilityAnalyze differences between target and actual batching, material usage and concrete performance.
03Identify OverdesignEvaluate where concrete performance consistently exceeds requirements and where material consumption may be higher than necessary.
04Build Predictive ModelsUse statistical analysis and machine learning to study the relationships between materials, operating conditions and concrete performance.
05Prioritize OpportunitiesFocus attention on mixes with the greatest combination of production volume, material usage and optimization potential.
06ValidateReview analytical findings with quality-control and operations teams before any production change is considered.
07Measure & ImproveContinue monitoring laboratory and production results so optimization becomes an ongoing process rather than a one-time exercise.
PREDICTIVE ANALYTICS
Go beyond reporting.
Understand relationships.
Traditional reports explain what already happened. Predictive analytics can help identify the combinations of materials and operating conditions that are associated with concrete performance.
Statistical models and machine-learning techniques can be used to support the identification of patterns that would be difficult to detect through manual review alone.
MODELS BUILT FROMYOUR DATAProduction + Lab
+ Mix Designs
+ Mix Designs
01Analyze overdesign
02Measure variability
03Identify relationships
04Prioritize opportunities
POTENTIAL BUSINESS VALUE
Better information.
Better mix decisions.
ANALYTICS SUPPORTS QUALITY CONTROL
Data identifies opportunities.
Validation protects quality.
Analytical models are decision-support tools. Any proposed change to an approved mix design should be evaluated and validated by qualified quality-control personnel in accordance with project specifications, applicable standards and production requirements.
The objective is not simply to use less material. The objective is to identify opportunities for improved material efficiency while maintaining required concrete performance.
OUR APPROACH
We do not copy.
We do not assume.
We analyze.
Every concrete operation is different. Materials, plants, customers, specifications and operating conditions vary. Our approach starts with your own production and quality data so recommendations are based on the reality of your operation.
CONNECT THE REST OF YOUR OPERATION
Mix optimization is only
one part of the picture.
Combine mix-design intelligence with production, inventory, logistics, customer and financial analytics to create a complete view of ready-mix operations.
Explore all ICI services →READY TO ANALYZE YOUR MIXES?