Insights & Articles
Practical notes from projects and research
Reliability curve quick demo
Exponential model: R(t) = exp(-λt). Adjust λ and time to see the impact.
R(t) = e^(-λt)
This widget is reusable. You can embed it in any page or case study with different variables, labels, and formulas.
Showing 6 items.
Featured Articles
Machine Learning for Industrial Reliability: From Theory to Deployment
A deployment-focused guide to supervised, unsupervised, and reinforcement learning for reliability-centered operations.
Read articleInteger Programming for High-Stakes Planning Decisions
How mixed-integer formulation quality and classical methods improve discrete planning, allocation, and scheduling outcomes.
Read articleMaintenance Management Systems That Scale with Operational Complexity
A practical framework for service-level-driven maintenance strategy, work-order quality, and CMMS-enabled execution.
Read articleComing Soon
Designing maintenance KPIs that actually influence decisions
Reliability & Operations
How to structure KPIs so they drive actionable insights, not vanity metrics.
When decomposition methods outperform direct optimization
Optimization
Understanding when to use Benders, Dantzig-Wolfe, and other decomposition approaches.
Avoiding overfitting in small industrial datasets
Machine Learning
Practical techniques for building robust models with limited data.
Posting Cadence
New article every month: one operations/reliability topic + one analytics/optimization deep dive.
Topic Clusters
Structured pathways across three clusters: Maintenance, Optimization, and Machine Learning.
Publishing approach
Published articles stay clickable. Draft topics remain visible only as a roadmap so visitors know what is coming next without hitting dead ends.