Ideal final result

Ideal final result (IFR) is a model of the best solution to an inventive problem, whereby the problem is fully eliminated with minimal changes to the system and without any deterioration of system parameters.

Overview

IFR is a concept introduced in ARIZ where it helps in setting a clear, unambiguous goal that guides the subsequent steps. Formulating it is one of crucial steps of the algorithm.

With the IFR in mind, ARIZ uses various TRIZ tools and principles to systematically eliminate contradictions and develop innovative solutions.

Key features

The IFR aims to achieve the maximum benefit for a system with the least use of resources, including time, money, energy, and materials.
Achieving IFR must not introduce new problems or side effects. It should resolve the issue without creating additional challenges.
IFR usually simplifies the system rather than complicate it. This often involves reducing the number of components or steps required to achieve the desired outcome. It often incorporates self-regulating and self-maintaining aspects, meaning the system requires little to no external intervention to function optimally.

Difference between IFR and ideal system

IFR is sometimes confused with an ideal system. These concepts are significantly different and it is a major mistake to equate them. IFR is is a term used in ARIZ. It is a model of the best solution to a specific problem, whereby the problem is fully eliminated with minimal changes to the system and without any deterioration of system parameters. However, the system exists, occupies space, incurs costs, requires maintenance, etc. The ideal system referes to the system with infinite value. It has no components or associated costs, but still delivers the intended function(s). In other words, the system does not exist, but its main function is performed.