When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Udemy logo

TRIZ. Engineering Problem-Solving Algorithm

Develop your Problem-Solving skill! Practical step-by-step guide for resolving Complex Problems.

     
  • 4.5
  •  |
  • Reviews ( 427 )
₹519

This Course Includes

  • iconudemy
  • icon4.5 (427 reviews )
  • icon5h 7m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About TRIZ. Engineering Problem-Solving Algorithm

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

Problems

around 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

find

a 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!

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.