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CS30A1641 Inventive Product Design and Advanced TRIZ, 6 cr 
Code CS30A1641  Validity 01.08.2016 -
Name Inventive Product Design and Advanced TRIZ  Abbreviation Inventive Produ 
Credits6 cr   
TypeBasic studies  
  Grading scaleStudy modules 0-5,P/F 
  Eligibility for post-graduate studiesYes
    Allowed to study several timesno
Organisation LUT School of Engineering Science 

Leonid Chechurin 

Description by Study Guide
Year  M.Sc. (Tech.) 1-2 
Teaching Language  English 
Teacher(s) in Charge 

Professor, Ph.D. Leonid Chechurin


After having completed the course, student is to know and able to apply instruments for product/process inventive design. The course helps to recognize the role, place and institutions of invention in innovation process/business. It contains basics on patenting, patent search and analysis, including modern approaches (big data, semantic etc). The course presents conceptual design context and its tools (Quality Function Deployment, Kano model, Decision making tools etc). It reviews modern design tools: Axiomatic Design, Design For X (Manufacturing, Robustness, Assembly, Environment, etc) and focuses on the role and main instruments of TRIZ (Ideal Final Result, Contradictions, SuFiled, Trends of Engineering System Evolution). We learn how to model an engineering system/product by Function framework, perform Function Model analysis transformation, Trimming (system reduction), Function-Oriented search, build Fault tree. About 20 case studies and 100 examples of inventive designs are presented.


Introduction Optimization and Invention. Design roadmaps. 1. Information search and analysis: Patent and Scientific paper data bases. Search by keywords and classification codes. Function oriented search. Similarity: bibliographic, semantic. Technology landscapes. Subject-Object-Action framework. ArrowSmith approach. 2. Function based analysis: Ontologies of system description. Function based modeling. Subject-Object-Function framework. Function analysis. 3. Design evaluation: Axiomatic Design. DFx: design for manufacturability and assembly, design for robustness, design for environment, etc. TRIZ’s design ideality concept. Trends of engineering system evolution as evaluation tool. Case studies and examples, Hands on. 4. Design modification: Function-based design improvement: trimming, contradiction elimination. Substance-Field. Standards for SuField model transformations. Case Studies, examples, Hands on. 5. Algorithm: Inventive design roadmap. Context of inventive design in industrial environment: market analysis tools (QFD, Kano, etc.), integration to research management tools, decision making tools. Case studies. Conclusion.

Teaching Methods 

Lectures 28 h, exercises 28 h, team work 38 h, reading 49 h, exam 13 h. Total workload 156 h.

Suitability for doctoral studies (Yes/Leave empty)  Yes 
Examination in Examination schedule (Yes/No)  No 
Examination in Moodle (Yes/No)  No 
Examination in Exam (Yes/No)  No 
Assessment scale and assessment methods 

Final grade 0 - 5. Test 30% + Report on project (Assignment) 50% + Personal reading 20%.

Course Materials 

Hand outs of lecture notes, internet resources in open access (given), selection of papers (given), videos on the main topics of the course - all available in Moodle and />

Places for exchange-students? (Yes, number/No)  max 10 
Places for Open University Students?(Yes, number/No)  max 5 

Current and upcoming courses
Functions Name Type cr Teacher Timing
  Inventive Product Design and Advanced TRIZ  COURSE  Leonid Chechurin 
02.03.20 -17.04.20 -

Upcoming exams
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