How We Work: Building Systems Where Value Is Engineered, Not Guessed

Knar does not deliver generic consulting reports or superficial dashboards. We co-architect living decision systems where industrial physics, financial performance, and organizational capability converge.

Integrated Decision Support Systems (iDSS)

We don't advise — we build computational engines that simulate thousands of scenarios to identify optimal strategies under uncertainty.

Key Features:

▸Dynamic integration of reliability (RAM), lifecycle cost (LCC), and business risk
▸Probabilistic forecasting over multi-year horizons
▸Scenario exploration for investment, maintenance, and operational decisions
▸Fully traceable from equipment failure to EBITDA impact

Real-World Impact:

Enabled a chemicals manufacturer to evaluate 12 expansion pathways under volatile feedstock prices and regulatory risk, selecting the option with 98% confidence of superior ROI.

Behind the Scenes:

Tools:

AspenTech Fidelis, Wolfram Mathematica, CPLEX

Methods:

Stochastic simulation, hybrid decomposition

Validation:

Protocol-driven QA with client sign-off

Industrial Digital Assets

We don't create static digital twins — we build full-spectrum Digital Assets that link site configuration to market forecasting.

Key Features:

▸High-fidelity models of physical assets integrated with business logic
▸Exploration of >10,000 configurations using MiRO v1 (Minimizer of Operational Risk)
▸Embedded causal logic via PDEL® (Performance Dependency Elucidation Language)
▸Designed for continuous evolution, not one-time analysis

Real-World Impact:

Developed a Digital Asset for one of Latin America's largest integrated gas projects, enabling operators to optimize compressor configurations across mixed-mode operations.

Behind the Scenes:

Tools:

AspenTech Fidelis, custom analytics modules

Methods:

Markov state modeling, sensitivity analysis

Output:

Executable decision support platform

Causal Analysis & Non-Recurrence Engineering (Prysma®)

We don't stop at root cause — we engineer systems where critical failures cannot recur.

Key Features:

▸Formal chain-of-causality modeling linking technical, human, and organizational factors
▸Prysma® methodology for structured RCA execution
▸Integration with maintenance strategy and contractual assurance
▸Delivery of corrective actions with verification protocols

Real-World Impact:

Investigated turbine failures for a major pipeline operator, identifying latent gaps in condition monitoring strategy and spare parts planning.

Behind the Scenes:

Method:

Prysma® Root Cause Analysis Framework

Tools:

SuperSMITH Weibull, FMEA integration

Deliverable:

Protocolo de Entrega Cash3_V03 QA checklist

Organizational Competence Building

We don't just train people — we institutionalize capability so clients sustain improvements long after we leave.

Key Features:

▸Hands-on workshops in Weibull analysis, RCA, LCC, and MBSE
▸Certification programs aligned with SMRP and ISO standards
▸Transfer of proprietary tools (e.g., Kwvaat for value tracking)
▸Development of internal centers of excellence

Real-World Impact:

Trained engineers at a national utility and defense sector organizations, establishing the first cohort of certified reliability professionals in Colombia.

Behind the Scenes:

Curriculum:

RAMGEN Methodology for standardized modeling

Delivery:

On-site labs, simulation exercises

Outcome:

Clients independently run and validate models

Why This Is Not Consulting — It's Architectural Engineering

At Knar, we walk beside you — not above — through complexity. Our engagements are not about delivering answers, but about co-architecting systems where:

Technical truth meets financial reality

Data becomes institutional knowledge

Decisions are made with traceability, not intuition

Ready to move beyond guesswork? Let's explore what engineered resilience looks like for your organization.