Algorithm of Inventive Problem Solving (ASIT)
ASIT Overview
ASIT (Algorithm of Inventive Problem Solving) and SIT (Systematic Inventive Thinking) are both methods of innovation and problem solving that were developed in Israel.
ASIT is a more structured and systematic approach to innovation that is based on a set of specific rules and procedures. The approach consists of a series of algorithms, or step-by-step processes, that are designed to guide individuals and organizations through the innovation process.
SIT, on the other hand, is a more flexible and adaptable approach that is based on a set of principles and methods. The approach is designed to encourage creative and innovative thinking, and provides a variety of tools and techniques that can be used to generate new ideas and solutions to problems.
In summary, the key difference between ASIT and SIT is that ASIT is a more structured and systematic approach to innovation, while SIT is a more flexible and adaptable approach that places a greater emphasis on creative and innovative thinking. The choice of which approach to use will depend on the specific problem that needs to be solved, the goals and objectives of the individuals or organizations involved, and the resources and constraints that are available.
The Algorithm of Inventive Problem Solving (ASIT) is a structured and systematic method of innovation and problem solving that was developed in Israel. ASIT is based on the idea that innovation can be taught and that creativity can be enhanced through the deliberate application of specific techniques and methods.
ASIT consists of a series of algorithms, or step-by-step processes, that are designed to guide individuals and organizations through the innovation process. The algorithms are designed to be flexible and adaptable, and can be applied to a wide range of problems and systems.
The key steps of ASIT are:
Define the problem: Clearly define the problem that needs to be solved.
Analyze the problem: Analyze the problem using tools and techniques such as function analysis, system analysis, and morphological analysis to understand its underlying structure and causes.
Identify contradictions: Identify the contradictions and obstacles that are preventing a solution from being found.
Apply inventive principles: Apply the ASIT inventive principles to overcome the contradictions and obstacles identified in step 3.
Generate solutions: Generate a wide range of potential solutions through structured brainstorming and ideation techniques.
Evaluate solutions: Evaluate the potential solutions based on specific criteria, such as feasibility, impact, and alignment with organizational goals.
Implement the solution: Select the best solution and implement it.
ASIT is designed to be a structured and systematic approach to innovation that can help individuals and organizations generate new and innovative solutions to complex problems. By using ASIT, individuals and organizations can drive innovation more effectively and efficiently than they would be able to through conventional problem-solving methods.
Questions to ask about a Technical System
The Algorithm of Inventive Problem Solving (TRIZ) is a systematic approach for solving inventive problems and generating innovative solutions. It consists of several key elements or principles that guide the problem-solving process. Here are five questions for each element of TRIZ that can be applied to a technical system:
Identifying the Problem (Problem Definition):
What specific issue or challenge is the technical system facing?
What are the main obstacles preventing the system from functioning optimally?
How does the problem impact the system's performance or objectives?
Are there any underlying causes or root factors contributing to the problem?
What are the desired outcomes or goals for resolving the problem?
Analyzing the System (Analysis of the Initial Situation):
What are the key components or subsystems of the technical system?
How do these components interact with each other to achieve the system's objectives?
What are the functions performed by each component, and how do they contribute to the overall operation of the system?
Are there any dependencies or constraints that influence the system's behavior?
What are the environmental or external factors that may impact the system?
Formulating the Ideal Final Result (Ideal Final Result):
What would the ideal outcome or solution look like for the technical system?
What are the specific criteria or characteristics that define the ideal final result?
How would achieving the ideal final result address the problem or challenge identified?
Are there any innovative or unconventional approaches that could lead to the ideal solution?
What resources or technologies could be leveraged to move closer to the ideal final result?
Identifying Contradictions (Identification and Formulation of Contradictions):
What conflicting requirements or constraints exist within the technical system?
How do these contradictions limit the system's ability to achieve its goals?
Are there any trade-offs or compromises that have been made to address these contradictions?
Can the contradictions be reframed or redefined to uncover new insights or opportunities?
What inventive principles or strategies can be applied to resolve the contradictions?
Applying Inventive Principles (Choosing a Suitable Inventive Principle):
What inventive principles or techniques have been successful in solving similar problems in other domains?
How can these principles be adapted or applied to address the specific challenges faced by the technical system?
Are there any patterns or trends in the system's behavior that suggest potential solutions?
Can analogies or metaphors from unrelated fields be used to inspire innovative solutions?
What experiments or prototypes can be conducted to test the effectiveness of different inventive principles?
By asking these questions and following the steps of the TRIZ methodology, you can systematically analyze the technical system and generate inventive solutions to overcome challenges and achieve optimal performance.