INTERACTIVE COMPUTATIONAL ENVIRONMENT

>_ KnarLAB

Executable Wolfram Language notebooks, Aspen Fidelis simulation examples, and Genesys MBSE models exploring mathematical foundations of industrial optimization, reliability engineering, and decision support systems.

WOLFRAM LANGUAGE
LIVE EXECUTION
MATHEMATICAL RIGOR
Featured Notebook
RELIABILITYBeginner~5 min

Weibull Explorations

Interactive exploration of Weibull distribution applications in reliability engineering and failure analysis for industrial assets.

Weibull DistributionFailure AnalysisLife Data Analysis
LAUNCH NOTEBOOK
Execution Environment
Wolfram Language 13+
Interactive Graphics
Real-time Computation
Prerequisites
Basic calculus
Linear algebra
Graph theory concepts
All Notebooks
RELIABILITY~8 min

RAM Analysis Fundamentals

Reliability, Availability, and Maintainability calculations for complex system configurations.

Markov ModelsAvailabilityMTBF/MTTR
Intermediate// Coming soon
OPTIMIZATION~12 min

Expected Value Optimization

Mathematical framework for computing Expected Value under uncertainty in asset management.

Stochastic OptimizationDecision TheoryValue Modeling
Advanced// Coming soon
SCHEDULING~10 min

Maintenance Scheduling Algorithms

Mixed Integer Programming for optimal maintenance scheduling under resource constraints.

Linear ProgrammingConstraint SatisfactionResource Allocation
Advanced// Coming soon
NETWORK~7 min

Network Flow Optimization

Graph-theoretic approaches to optimizing flow in pipeline distribution systems.

Graph TheoryMax FlowNetwork Design
Intermediate// Coming soon

About KnarLAB

KnarLAB provides interactive computational environments demonstrating the mathematical rigor behind our methodologies. Explore executable Wolfram Language notebooks for mathematical analysis, Aspen Fidelis examples for process simulation, and Genesys MBSE models for systems architecture—all fully interactive for modifying parameters, exploring algorithms, and understanding causal relationships driving industrial optimization.

Executable
Run code in browser
Interactive
Modify and explore
Rigorous
Mathematical foundations