Updated on August 7, 2025

ARIZ

ARIZ is a problem-solving tool that transforms a complex key problem into a well-defined model of the problem, which can be solved effectively using a wide spectrum of TRIZ tools.

Overview

ARIZ is a Russian acronym of algorithm for inventive problem solving (алгоритм решения изобретательских задач, АРИЗ).

There have been several versions of ARIZ over the years. The last one officially published under Altshuller’s name is ARIZ-85C. Although later versions were developed posthumously, they did not significantly improve the procedure’s effectiveness – some even added unnecessary complexity. As a result, ARIZ-85C remains the official version.

It’s important to keep in mind that in 1985, TRIZ did not yet include the advanced analytical tools available today. Still, Altshuller clearly understood the importance of identifying the right problem to solve, which is why ARIZ-85C already includes several built-in analytical procedures.

click here to read the original text of ARIZ-85C including all the notes and recommendations formulated by Altshuller
click here to download an ARIZ-85C template in editable Word file

For the reader’s convenience, each block of ARIZ has been described in a separate article.

Application of ARIZ

ARIZ is typically used for solving complex key problems that cannot be resolved using other TRIZ methods, in projects where major changes to the system are unacceptable.To highlight the specific nature of these problems, the algorithm introduced the term mini-problem.

The mini-problems a key problems that can arise from various sources, like CECA, trimming, or feature transfer.

Strength of ARIZ

The strength of ARIZ is determined by its distinctive features:

  1. Focusing on achieving the ideal final result.
  2. Basing on trends of engineering system evolution.
  3. Focusing on the system resources.

Focusing on achieving the ideal final result

ARIZ is focused on achieving the ideal final result (IFR) – the best possible solution to a problem, in which the problem is completely eliminated with minimal changes to the system and no deterioration of its parameters.

It’s important not to confuse the concept of IFR with that of the ideal system, as the two are fundamentally different – though often mistakenly used interchangeably. While the ideal system refers to a system that does not exist (it performs the function without taking up space, costing anything, or requiring maintenance), the IFR in ARIZ is about solving a specific problem within an existing system by making only minimal adjustments. The system still exists, takes up space, generates costs, and requires upkeep – but the problem it had is resolved in the most efficient way possible.

Basing on trends of engineering system evolution

Like many other TRIZ tools, ARIZ is built on the trends of engineering system evolution. The algorithm includes steps that directly reflect various trends – such as identifying and eliminating contradictions, aiming for the ideal final result (IFR), focusing on minimal changes to the initial system, or applying the multi-screen approach.

All of these actions are designed to help overcome psychological inertia and lead to the most effective possible solution.

Focusing on the system resources

Making minimal changes to the system means working with resources that are already present within the system and its supersystem. While it might be tempting to introduce new materials, add components, or apply new fields, such changes often come with significant costs. In reality, most systems already contain what’s needed to solve the problem – those resources are simply overlooked. One of ARIZ’s key goals is to uncover them.

To do this, ARIZ works in two directions. First, it narrows focus like a funnel, transforming a broad key problem into a well-defined TRIZ mini-problem. Then, it expands outward, revealing more and more resources hidden within the system and supersystem as the analysis progresses.

Structure of ARIZ

ARIZ is a very well-structured tool. It has the structure of a block-diagram composed of steps, rules, and notes.

Complete algorithm consists of 9 parts organized into three main blocks. Each part consists of several sub-steps. The general structure is the following:

Block 1: Restructuring the original problem

Part 1. Analyze the system

Part 2. Analyze the problem model.

Part 3. Define the ideal final result and formulate the physical contradiction.

Block 2: Removing the physical contradiction

Part 4. Resolve the physical contradiction.

Part 5. Apply the knowledge base, scientific effects, standard inventive solutions, contradiction matrix, etc.

Part 6. Change the mini-problem.

Block 3: Analyzing the solution

Part 7. Review the solution and analyze removal of the physical contradiction.

Part 8. Develop maximum usage of the solution.

Part 9. Review all the stages in ARIZ in a “real time” application.

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