Principle of IDEALITY
Definition:
An ideal solution is when there are no systems/costs, but the function is fulfilled. The fewer resources required to achieve a beneficial effect, the more ideal the solution is.
Formula for Extended Ideality:
“The system does not exist, but the maximum number of functions are performed effectively and instantly.”
Key Aspects:
1. Striving for zero costs in:
- Energy
- Materials
- Time
- Space
- Risks
- Human effort
2. Lifecycle stages for optimization:
- Production
- Procurement
- Transportation
- Operation
- Repair
- Disposal
3. Characteristics of an ideal solution:
- The system is self-sustaining
- Harmful factors are transformed into useful ones
- Side effects become new functions
- A single element performs multiple functions
- The function is transferred to a supersystem
Application Examples:
1. Technical Field:
- Copper and silver disinfecting surfaces – the metal disinfects itself
- Goodyear’s self-inflating tires – the wheel maintains its own pressure
- Copy protection embedded directly in the 3D model – the product protects itself
2. Business Field:
- Ideal management – where management does not exist, but functions are performed
- Ideal control – where control does not exist, but requirements are met
- Ideal office – where the office does not exist, but communication is present
3. Social Field:
- Wind power plants use refrigeration warehouses as batteries
- Inmates help solve crimes by studying cold cases
- Users self-moderate content
Application Algorithm:
1. System Analysis:
- Identify the primary beneficial function
- Calculate all types of costs
- Determine harmful effects
2. Formulating the Ideal:
- “The system is absent, but function X is performed”
- “Harmful effect Y becomes useful”
- “Element Z assumes new functions”
3. Searching for Solutions:
- How to perform the function without a system?
- What resources can be used?
- How to turn drawbacks into advantages?
4. Checking for Ideality:
- Are costs approaching zero?
- Are functions performed effectively?
- Is the system self-sufficient?
Practical Recommendations:
1. Start with the most ideal solution concept.
2. Do not fear “impossible” formulations.
3. Seek solutions at the intersection of fields.
4. Use resources of the supersystem.
5. Combine the functions of elements.
6. Transfer functions to other systems.
Common Mistakes:
1. Compromising solutions instead of ideal ones.
2. Automating inefficient processes.
3. Adding new systems instead of simplifying.
4. Ignoring available resources.
5. Fear of radical changes.
Control Questions:
1. What costs can still be eliminated?
2. What functions can be combined?
3. Which harmful effects can be used?
4. Which resources remain unused?
5. How can the system be made more self-sufficient?