
MSc Applied Computational Mathematics
Johns Hopkins University — In Progress
Specialist in Maintenance Management
Universidad Industrial de Santander (UIS)
BSc Electronic Engineering
Universidad Distrital Francisco José de Caldas
- CMRP — SMRP Certified Maintenance & Reliability Professional
- DNV Certified Instructor — RAM Analysis
- Fulton Findings — Weibull & Crow-AMSAA
Bogotá, Colombia & Houston, TX
Jorge Granada
Founder & Chief Architect — Knar Global LLC
Electronic Engineer · Specialist in Maintenance Management · Reliability Systems Architect
"He doesn't just manage assets. He models the decisions that keep them alive."
For over 25 years, Jorge has operated at the sharp end of asset-intensive industries. His foundation as an Electronic Engineer, deepened by a formal Specialist in Maintenance Management, gives him something rare: the ability to reason simultaneously about signal-level physics, system-level reliability, and enterprise-level financial consequence.
While his primary expertise lies in Oil & Gas — Upstream, Midstream, and Refining — his methodology applies wherever complexity meets consequence: Energy, Defense, and Mining. His work is built on a single premise: Failure is the destruction of intended emergence. Assets don't fail in isolation. They fail when the cooperative dynamic between materials, energy, and human judgment breaks down.
He currently splits his time between consulting for critical infrastructure, developing proprietary decision frameworks, and instructing the next generation of reliability leaders — while completing an MSc in Applied Computational Mathematics at Johns Hopkins University. Because after 25 years, the math keeps getting more interesting.
Where Electronic Engineering Meets Reliability Science
Most reliability engineers approach assets from mechanics or process engineering. Jorge's electronic engineering background — combined with a formal specialization in maintenance management — gives him an additional layer of resolution: the ability to model sensor behavior, signal integrity, and control system dynamics as failure contributors, not just failure detectors.
Computation as Revelation
His electronic engineering training made him comfortable with signal processing, feedback loops, and dynamic systems — foundations that translate directly into modeling complex failure propagation. He processes millions of data points not to confirm what he already believes, but to let new failure paths emerge from the evidence.
Maintenance as Strategy, Not Routine
His Specialist in Maintenance Management from UIS established the organizational and economic dimension of reliability — where failure physics connects to workforce planning, spare parts logistics, and EBITDA. Maintenance is not a cost to minimize; it is a risk-transfer mechanism to optimize.
Physics is the Boss
Statistics are useful, but material kinetics — Sigma Phase, Avrami, Creep — dictate reality. He couples mechanistic models with probabilistic analysis (API 581/579) so every intervention is physically justified, not just statistically convenient.
Decision Traceability
Every recommendation ties back to a physical constraint and an economic outcome (LCC). He uses tools like Genesys (MBSE), MAROS/TARO, and custom C++/Mathematica simulators. No black boxes. No vague confidence intervals. Every recommendation is auditable from sensor to P&L.
Asset-Intensive & Critical Infrastructure
The physics of failure doesn't care about the sector. His methodology applies wherever downtime costs millions and safety is non-negotiable. 150+ technical engagements since 2006.
Some clients, like Ocensa, have trusted him with their critical modeling continuously for nearly two decades.
Oil & Gas
Deep experience with pipelines, pumping stations, and refineries across Upstream, Midstream, and Downstream operations. From integrity management programs to RAM studies for new capital projects.
Ocensa: 15+ continuous engagements since 2006
Energy & Utilities
Lifecycle cost modeling for power generation bids and energy transition projects — including liquid fuel to electric conversions.
Defense & Aerospace
Designed the operational safety system (SIGSA) for the Colombian Air Force, certifying 23+ officers as Reliability Professionals.
Mining & Manufacturing
Applied physics-based reliability to manufacturing nodes (Tenaris) and heavy infrastructure where operational continuity is critical.
Proprietary Frameworks & Methodologies
Jorge doesn't apply off-the-shelf tools to novel problems. Over two decades he has developed proprietary frameworks that formalize what most organizations leave as tacit knowledge.
Performance Dependency Elucidation Language
A formal language for mapping causal dependencies between equipment states, system performance, and business outcomes. Ensures every reliability model is traceable from sensor reading to P&L impact — eliminating the black box problem in industrial AI.
Dynamic Equipment Criticality Analysis
A probabilistic framework for continuously reassessing equipment criticality as operational context evolves — maintenance history, market conditions, and production constraints all update the criticality ranking dynamically.
Knar Value Bridge: Cause-to-Margin
Directly links equipment failure causes to their EBITDA impact. Bridges the translation gap between engineering recommendations and executive financial decisions, making the business case for reliability investments unambiguous.
Reliability, Availability, Maintainability Generator
A custom simulation engine for generating RAM profiles under probabilistic constraints — feed variability, maintenance crew availability, spare parts logistics — producing P50/P80/P90 availability forecasts for capital decisions.
- Wolfram Mathematica
- Genesys (MBSE)
- MAROS / TARO
- Aspen Fidelis
- SuperSmith
- C++ / C#
- Wolfram Language
- Visual Basic
- Python (competent)
- ISO 55000 / ISO 15663
- API 570 / 580 / 581 / 579
- MIL-STD-882
- SAE ARP4761
- ···
Instruction Is Core, Not a Side Activity
Jorge doesn't train people to pass exams. He cultivates engineering judgment — the ability to reason about risk independently, long after he has left the room.
Philosophy first, procedures second
He teaches the why of reliability before the how of procedures. Understanding failure physics precedes any discussion of maintenance strategy.
Calm, thorough, no shortcuts
"Let's calm down and go thoroughly by pieces." No rush. No adornments. Just clarity — even for the most complex probabilistic concepts.
Regional impact in Latin America
Instrumental in popularizing SMRP and Weibull methodologies across Latin America. Certified Colombia's first SMRP professionals and trained military aviation personnel in operational safety systems.
Maintenance Management as a discipline
His Specialist degree in Maintenance Management informs how he teaches — not just reliability theory, but the organizational, logistical, and financial architecture needed to make reliability programs survive inside real companies.
"We don't deliver reports. We install cognitive infrastructure."
— Jorge Granada
"Let facts reveal failure paths through formal modeling."
— Jorge Granada
Read His Work Directly
Jorge's frameworks are not proprietary secrets — they are publicly argued. The articles below represent his thinking on the intersection of reliability science, decision theory, and industrial value creation. The best way to evaluate whether his approach fits your problem is to read how he reasons.
To Bit or Not to Bit
On the real value and challenges behind industrial digitalization. What separates transformational IDAs from expensive dashboards.
Why Build an Industrial Digital Asset?
The business case for replacing fragmented decision tools with integrated computational platforms.
90% Available, 100% Deceived
How availability metrics mislead — and what probabilistic thinking reveals about true asset performance.
Digital Twin vs. Digital Asset
Why the distinction matters: one monitors, the other decides. The difference in business value is not incremental.
RAM Models as the Foundation of Value Resilience
How Reliability, Availability, and Maintainability models become the backbone of lifecycle financial decisions.
Hybrid Optimization in Mining Processing
Applying mixed-methods optimization to complex mineral processing systems with competing constraints.
Let's Build Something That Doesn't Fail
Whether you need strategic advisory on asset integrity, complex modeling for capital projects, or instruction for your technical teams — Jorge is available for consultation. Use the contact form below or connect directly on LinkedIn.
