TRIZ. Engineering Problem-Solving Algorithm
TRIZ. Engineering Problem-Solving Algorithm, available at $74.99, has an average rating of 4.47, with 93 lectures, 9 quizzes, based on 351 reviews, and has 2291 subscribers.
You will learn about You will get a powerful tool for solving complex problems. You will be able to make a problem self-elimination. You will be able to find cheep resources to eliminate a problem. You will be able to deal with contradictory demands. You will be able to choose the most optimal solution from the list of found solutions You will know how to deal with subtasks for implementing solutions of any complex problem This course is ideal for individuals who are Engineers of all branches. or You should take the course, if you decided to become a professional problem-solver. or You should take the course, if you're struggling with complex problems in your life. or You should take the course, if you're not satisfied with using "Trial and Error" method to solve complex problems. It is particularly useful for Engineers of all branches. or You should take the course, if you decided to become a professional problem-solver. or You should take the course, if you're struggling with complex problems in your life. or You should take the course, if you're not satisfied with using "Trial and Error" method to solve complex problems.
Enroll now: TRIZ. Engineering Problem-Solving Algorithm
Summary
Title: TRIZ. Engineering Problem-Solving Algorithm
Price: $74.99
Average Rating: 4.47
Number of Lectures: 93
Number of Quizzes: 9
Number of Published Lectures: 87
Number of Published Quizzes: 9
Number of Curriculum Items: 110
Number of Published Curriculum Objects: 104
Original Price: $84.99
Quality Status: approved
Status: Live
What You Will Learn
- You will get a powerful tool for solving complex problems.
- You will be able to make a problem self-elimination.
- You will be able to find cheep resources to eliminate a problem.
- You will be able to deal with contradictory demands.
- You will be able to choose the most optimal solution from the list of found solutions
- You will know how to deal with subtasks for implementing solutions of any complex problem
Who Should Attend
- Engineers of all branches.
- You should take the course, if you decided to become a professional problem-solver.
- You should take the course, if you're struggling with complex problems in your life.
- You should take the course, if you're not satisfied with using "Trial and Error" method to solve complex problems.
Target Audiences
- Engineers of all branches.
- You should take the course, if you decided to become a professional problem-solver.
- You should take the course, if you're struggling with complex problems in your life.
- You should take the course, if you're not satisfied with using "Trial and Error" method to solve complex problems.
The main goal of the course is to give you the most potent practical tool for Solving Complex Problems.
This Algorithm has 8 STEPS. In a logical chain from receiving not apparent Complex Problem, step-by-step, through the whole Algorithm, you will find from 10 to 100 new solutions and even more depending on your efforts.
STEP 1 will help you to frame the Problem into such a formulation that reveals the task of how to eliminate any Simple or Complex Problem.
STEP 2 aims to divide Simple and Complex Problems. You will be able to make self-elimination of a Simple Problem, even if it is not from your profile branch of industry. And if the Problem is Complex, then you go to the next STEP 3.
STEP 3 shows you how to find the root cause of the Complex Problem. At STEP 3, the ideas to solve your Complex Problem begin to appear.
STEP 4 gives you the way to find resources to solve your Complex Problem.
STEP 5 leads you to frame your desired result in the system without a Complex Problem. STEP 5 shows how to apply resources that you found in STEP 4 to eliminate a Complex Problem with low costs and even without them. As a result, of STEP 5, you will get several ideas to solve your Complex Problem. And with ideas to resolve an issue, you may get contradictory demands to the elements of the system in which there is a Problem. Then you go to the next STEP 6.
STEP 6 will help you formulate contradictory demands to the element of the system in which there is a Problem. As a result of STEP 6, you will choose the principle for resolving contradictions. In case of severe Problem, when an accepted principle did not lead you to a solution, you go to the next STEP 7.
STEP 7 will get you acquainted with special techniques out of 40 available in TRIZ to resolve physical contradictions and to find an inventive solution to your Complex Problem.
STEP 8 leads you to the most powerful solution from the list of already found while doing all seven STEPs of the Algorithm.
You may ask me: what kind of Problems can I resolve using this Algorithm?
If I answer: “ANY.” You, probably, would not believe me.
But it’s about 95% of all Problemsaround us.
And what kind of those 5% Problems you won’t fix by this tool – the only those that need preliminary researches when the nature of an undesirable phenomenon is not known.
After finishing this course, it would be easy for you to finda lot of Solutions to ANY Complex Problems.
You’ll see things around you in another way. What does it mean?
All things around you can help you to Solve a Problem with low costs and even without them. You need to know-how.
With this Engineering Problem-Solving Algorithm,you’ll succeed in any severe case.
But it’s not a magic wand – you will have to work a lot! And as a reward, there will be a lot of reliable decisions!
And last, but not least: only practicing the Engineering Problem-Solving Algorithm will increase your skills and as a result, increase your market price!
P.S.: From The World Economic Forum, TOP 10 high demanded soft skills:
1. Complex Problem-Solving
2. Critical Thinking
3. Creativity
……………………………………
Go ahead, enroll in the course!
Get better at Solving Complex Problems!
It’s worth a lot!
Course Curriculum
Chapter 1: INTRODUCTION
Lecture 1: What do we call a problem?
Lecture 2: Ways to solve problems
Lecture 3: Brief history of creation TRIZ and EPSA(pt)
Lecture 4: Main ideas of EPSA(pt)
Lecture 5: Composition of the course
Chapter 2: STEP 1. PRIMARY DESCRIPTION AND FORMULATION OF A PROBLEM
Lecture 1: 1.1. Undescribed problem leads to another one in addition
Lecture 2: 1.2. Primary description and formulation of a problem
Lecture 3: 1.3. Formula of a problem
Lecture 4: 1.4. Tips for applying STEP 1
Lecture 5: 1.5. An example of doing STEP 1
Chapter 3: STEP 2. CHECK THE PROBLEM FOR FALSE AND SELF-REMOVAL
Lecture 1: 2.1. CHECK THE PROBLEM FOR FALSE AND SELF-REMOVAL
Lecture 2: 2.2. Tips for applying STEP 2
Lecture 3: 2.3. An example of doing STEP 2
Chapter 4: STEP 3. CLARIFY THE PROBLEM
Lecture 1: 3.1. CLARIFY THE PROBLEM
Lecture 2: 3.2. Multi-Screen Scheme
Lecture 3: 3.3. The 5 why method and Ishikawa diagram
Lecture 4: 3.4. Multi-Screen Analysis
Lecture 5: 3.5. Clarified formula of the problem
Lecture 6: 3.6. Tips for applying STEP 3
Lecture 7: 3.7. An example of doing STEP 3
Chapter 5: STEP 4. ANALYZE SUBSTANTIAL-FIELD RESOURCES
Lecture 1: 4.1. An example of applying substantial-field resources
Lecture 2: 4.2. Substances and their fields
Lecture 3: 4.3. Ranking resources by priorities
Lecture 4: 4.4. Tips for applying STEP 4
Lecture 5: 4.5. An example of doing STEP 4
Chapter 6: STEP 5. FORMULATE A PERFECT FINAL RESULT
Lecture 1: 5.1. An ideal system
Lecture 2: 5.2. Examples of ideal systems
Lecture 3: 5.3. FORMULATING A PERFECT FINAL RESULT
Lecture 4: 5.4. Examples of the PFR formulations
Lecture 5: 5.5. Sorting PFRs
Lecture 6: 5.6. Tips for applying STEP 5
Lecture 7: 5.7. An example of doing STEP 5
Chapter 7: STEP 6. FORMULATE PHYSICAL CONTRADICTIONS
Lecture 1: 6.1. Levels of formulating contradictions
Lecture 2: 6.2. What is a technical and a physical contradiction in detail
Lecture 3: 6.3. Formulating a physical contradiction
Lecture 4: 6.4. Examples of choosing the principles of resolving contradictions
Lecture 5: 6.5. Tips for applying STEP 6
Lecture 6: 6.6. An example of doing STEP 6
Chapter 8: STEP 7. RESOLVE PHYSICAL CONTRADICTIONS
Lecture 1: 7.0. Contradiction matrix
Lecture 2: 7.1. Resolve physical contradictions
Lecture 3: 7.2. Recommendations on mastering 40 techniques
Lecture 4: 7.3. Examples of applying techniques
Lecture 5: 7.4. Tips for applying STEP 7
Lecture 6: 7.5. An example of doing STEP 7
Chapter 9: STEP 8. ANALYZE RECEIVED SOLUTIONS
Lecture 1: 8.1. ANALYSIS OF RECEIVED SOLUTIONS
Lecture 2: 8.2. Tips for applying STEP 8
Lecture 3: 8.3. An example of doing STEP 8
Chapter 10: TECHNIQUES TO RESOLVE TECHNICAL AND PHYSICAL CONTRADICTIONS
Lecture 1: Principle №1. SEGMENTATION
Lecture 2: Principle №2. TAKING OUT
Lecture 3: Principle №3. LOCAL QUALITY
Lecture 4: Principle №4. ASYMMETRY
Lecture 5: Principle №5. MERGING
Lecture 6: Principle №6. UNIVERSALITY
Lecture 7: Principle №7. "NESTED DOLL"
Lecture 8: Principle №8. ANTI-WEIGHT
Lecture 9: Principle №9. PRELIMINARY ANTI-ACTION
Lecture 10: Principle №10. PRELIMINARY ACTION
Lecture 11: Principle №11. BEFOREHAND CUSHIONING
Lecture 12: Principle №12. EQUIPOTENTIALITY
Lecture 13: Principle №13. THE OTHER WAY ROUND
Lecture 14: Principle №14. SPHEROIDALITY – CURVATURE
Lecture 15: Principle №15. DYNAMICS
Lecture 16: Principle №16. PARTIAL OR EXCESSIVE ACTIONS
Lecture 17: Principle №17. TRANSITION TO ANOTHER DIMENSION
Lecture 18: Principle №18. MECHANICAL VIBRATION
Lecture 19: Principle №19. PERIODIC ACTION
Lecture 20: Principle №20. CONTINUITY OF USEFUL ACTION
Lecture 21: Principle №21. SKIPPING
Lecture 22: Principle №22. CONVERT HARM INTO BENEFIT
Lecture 23: Principle №23. FEEDBACK
Lecture 24: Principle №24. INTERMEDIARY
Lecture 25: Principle №25. SELF-SERVICE
Lecture 26: Principle №26. COPYING
Instructors
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Dmytro Barylo
TRIZ instructor, coach, lead specialist in Metinvestholding.
Rating Distribution
- 1 stars: 7 votes
- 2 stars: 14 votes
- 3 stars: 52 votes
- 4 stars: 133 votes
- 5 stars: 145 votes
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