DIAGNOSE
Define the real problem, system boundary, function, contradictions, constraints, resources and critical unknowns.
Koretskiy Methodology · ARITZ
ARITZ — an engineering problem-solving method
A practical engineering route for problems where selecting an existing option is not enough and the system itself must be changed, a contradiction resolved or a new solution principle found.
The methodology was developed by Oleksandr Koretskiy from long-term engineering, project and consulting practice and formalized for systematic analysis of technical, technological and business problems.
When it is used
ARITZ is used when the real task, system boundary and constraints are sufficiently clear, but standard comparison of alternatives does not produce a satisfactory solution.
ARITZ
DIAGNOSE → INVENT → VERIFY
INVENT
Generate candidates from the structure of the task rather than free brainstorming: contradictions, resources, architecture, separation, redistribution, replacement, removal and alternative physical mechanisms.
VERIFY
Test physical plausibility, calculations, analogues, literature, patents, standards, manufacturer data, sensitivity, simulation, experiment and the need for a specialist.
What must be considered
— problem formulation;
— system boundary;
— contradictions;
— resources;
— constraints;
— desired / ideal result;
— engineering estimates;
— evidence and validation;
— safety and stop conditions;
— the human expert role.
ARITZ
Core ARITZ sections
Engineering problem formulation
Solution quality starts not with idea generation, but with defining what must change and why.
OpenSystem and analysis boundary
A problem cannot be solved reliably without defining what belongs to the system, what is outside it and which interactions affect the result.
OpenEngineering contradictions
A strong engineering problem often requires improving one parameter without worsening another.
OpenSystem resources
Before adding equipment, energy or process steps, identify what resources already exist in and around the system.
OpenConstraints
A constraint is part of the problem. A solution that ignores a critical constraint is not a valid solution.
OpenDesired and ideal result
The desired result states what the system must achieve. The ideal result tests whether the function can be achieved with less complexity and fewer added elements.
OpenDIAGNOSE — understand the real problem
DIAGNOSE turns the initial description into an engineering model suitable for solution development.
OpenINVENT — build solution options
INVENT is not free brainstorming. Options are derived from the problem structure and checked against constraints.
OpenVERIFY — engineering validation
Before recommendation, an option should pass a structured check from physical plausibility through evidence, calculations and implementation conditions.
OpenARITZ
Verification, control and reference sections
Engineering estimates and calculations in ARITZ
Calculations are used to test physical meaning, operating range and sensitivity — not to decorate an idea.
OpenEvidence and validation
For every material conclusion it should be clear what supports it and how strong that support is.
OpenSafety and stop conditions
A sound methodology must know when to stop analysis because risk, uncertainty or mandatory validation makes a stronger conclusion unjustified.
OpenAI and the engineer’s role
AI accelerates research and structuring, but it does not replace responsible engineering judgement.
OpenUncertainty and conflicting evidence
Uncertainty remains visible instead of being hidden to make the analysis look complete.
OpenARITZ, ARIZ and classical TRIZ
ARITZ builds on classical TRIZ/ARIZ logic but is used here as a practical engineering process with explicit evidence and verification.
OpenARITZ application cases
Public cases will be added as suitable real engineering problems become available and can be published without revealing confidential client information.
OpenARITZ — questions and answers
Short answers to common questions about the role of ARITZ in the methodology.
OpenVerification chain
Concept → Physical plausibility → Calculation / estimate → Analogues → Literature / patents / standards → Manufacturer / supplier data → Sensitivity → Experiment / simulation / specialist → Decision.
ARITZ and TRIZ
Classical TRIZ / ARIZ is the methodological foundation. The public ARITZ presented here is a practical engineering implementation focused on evidence, traceability, calculations, uncertainty, verification and expert escalation.
Application examples
Public examples will be added as suitable real engineering cases become available and can be published without disclosing confidential client information. Educational examples will be explicitly marked as illustrative.
Methodology reference edition
The public methodology summary is available in Russian, English, Ukrainian and Serbian for browser viewing and download.