Design of Experiments
Screening, characterization, mixture DOE, optimization DOE, robustness experiments, and practical run plans.
Statistical Consulting • DOE • Optimization • ML
Data. Evidence. Decisions.
Husna Analytics helps product development and manufacturing organizations replace trial-and-error with statistical modeling, designed experiments, optimization, and quality analytics.
01Measure
Clarify the problem, responses, factors, and constraints.
02Model
Use DOE, regression, ML, and statistical diagnostics to find signal.
03Optimize
Recommend practical decisions that balance performance, cost, and risk.
Built for teams working on formulation, process improvement, quality, shelf life, consumer data, and technical training.
Services
Technical help where experiments and decisions matter.
Product & Process Optimization
Optimize formulations, process settings, quality targets, cost tradeoffs, and feasibility constraints.
Predictive Modeling & ML
Regression, classification, ordinal models, machine learning, model diagnostics, validation, and interpretation.
Quality Analytics
SPC, process capability, control charts, root-cause analytics, and manufacturing performance dashboards.
Shelf-Life & Stability
Accelerated life testing, degradation modeling, risk-based test plans, and statistical interpretation.
Technical Training
Practical training in DOE, regression, statistics, optimization, quality analytics, and data-driven R&D.
Approach
From messy data to practical recommendations.
1. Define the decision
We start with the business or technical decision, not the statistical method.
2. Design or analyze the evidence
We use existing data or create efficient experimental plans to learn faster.
3. Model, optimize, and communicate
We translate statistical results into clear actions for R&D, quality, and leadership.
Contact
Have a formulation, process, quality, or modeling problem?
Send a short note about the challenge, available data, and desired outcome.
info@husnaanalytics.com