Statistical Services for High-Consequence Industries
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Expert Statistical Analysis
StatSense LLC provides expert statistical analysis and data visualization services designed to support accurate, defensible, and informed decision-making. With deep experience in nuclear, defense, and regulated industries, StatSense delivers clear, actionable results grounded in sound statistical methodology. Each engagement is tailored to the project's technical requirements, data constraints, and decision context — with a focus on accuracy, efficiency, and practical application.
Services
Industrial Statistical Process Control (SPC)
Transition from reactive troubleshooting to proactive stability with data-driven monitoring that detects shifts before they become scrap.
Statistical Process Control (SPC) provides a data-driven framework for monitoring process performance, identifying meaningful trends, and distinguishing true issues from normal process variation. StatSense, LLC supports the implementation and interpretation of SPC methods to assess process stability and capability.
Effective SPC reduces rework and scrap, lowers operational costs, improves productivity, and supports consistent product quality through early detection and informed intervention. In nuclear and defense manufacturing environments where process stability is non-negotiable, SPC provides the data foundation that quality systems require to perform.
Custom Statistical Analysis & Data Visualization
Convert complex, high-consequence data into clear, defensible insights that simplify executive decision-making and stand up to scrutiny.
Clear visualizations are often the first step toward understanding complex data. StatSense, LLC provides custom statistical analysis and data visualization tailored to the specific goals of each project.
Services include, but are not limited to measurement systems analysis, regression analysis, sampling plan development, probability analysis, forecasting, time series analysis, and exploratory data analysis, along with visual tools such as histograms, Pareto charts, control charts, and run charts. Each analysis is designed to deliver clear, actionable conclusions.
Statistical Infrastructure Audit & Design Strategy
Establish a rigorous, defensible roadmap for process prove-in and measurement integrity before the first production run.
For organizations in the pre-production or equipment commissioning phase, the most critical decisions are made before data is ever collected. StatSense, LLC provides a "Phase 0" audit to ensure your statistical foundations—including experimental designs, measurement system requirements, and sampling logic—are robust enough to meet high-consequence industry standards.
A Statistical Infrastructure Audit mitigates the risk of costly "re-dos" by validating that your prove-in plans will yield actionable, defensible results. This service is designed to identify gaps in your analytical strategy, ensure your measurement systems are capable of detecting critical defects, and align your initial R&D efforts with long-term regulatory and quality requirements.
Industrial Research & Design of Experiments (DOE)
Shorten your R&D cycle and "prove-in" equipment faster by finding the optimal operating window with minimal test runs.
Design of Experiments (DOE) is a powerful and efficient approach for understanding the relationship between multiple input variables and key process outcomes. StatSense, LLC applies DOE methods to identify optimal operating conditions, reduce variation, and improve process performance.
Industrial screening designs are used to rapidly evaluate many factors, allowing organizations to focus on the variables that have the greatest impact on quality, efficiency, and output. StatSense has applied DOE methods in highly regulated nuclear and defense manufacturing environments where experimental rigor and defensible results are required.
DOE Nuclear Waste Characterization & Environmental Statistics
Ensure 100% regulatory compliance with rigorous sampling and characterization models built for high-stakes environmental oversight.
Statistical methods are critical to defensible waste characterization and environmental data analysis at DOE nuclear facilities. Experience includes supporting waste characterization programs at Y-12 National Security Complex, applying rigorous sampling methodology and inferential statistics to meet regulatory and compliance requirements.
Services include the development of statistical sampling plans—such as simple random, stratified, cluster, and systematic sampling—to support environmental data collection and population-level inference with defensible results.
Statistical Training & Workforce Development
Upskill your engineering team with practical, template-based methods that turn statistical theory into immediate on-the-floor improvements.
StatSense, LLC provides statistical training and workforce development for organizations seeking to strengthen internal data literacy and analytical capability. Training offerings include basic statistics, Statistical Process Control (SPC), regression analysis, and Design of Experiments (DOE).
Courses may be delivered using existing materials or customized to align with organizational processes, data, and industry requirements, ensuring practical application and immediate value.
This service is also available as a bundled solution in the Equipment Qualification Package.