Problem-Solving in Product Innovation Based on the Cynefin Framework-Aided TRIZ
Source abstract
Abstract
Different problems in the process of product innovation are often caused by external environmental changes of the product. There is a lack of research on classifying the problems associated with product environment changes to aid in applying tools of the Theory of the Solution of Inventive Problems (TRIZ) for problem-solving. This paper proposes a Cynefin framework to classify the problems into disorder, chaotic, complexity, complicated and simple areas according to the external environment changes. Each area of problems is then solved by corresponding design tools in TRIZ. Chaotic and complex problems are converted into complicated or simple areas by the technology evolution and effect search. Complicated or simple areas are combined considering conflicts expressed by an Element-Name-Value (ENV) model. Key conflicts are determined by simplified rules of a node conflict network. A problem-solving methodology in product innovation is proposed based on Cynefin framework-aided TRIZ. The proposed method is applied in the design of an enterprise SJL900/32 mobile bridge erecting machine.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Design Education and Practice · Manufacturing Process and Optimization · Product Development and Customization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin 300401, China
Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada
Funding
National Natural Science Foundation of China · Central Government Guides Local Science and Technology Projects of China · National Project on Innovative Methods of China
References (78)
Show source-provided references
1. Complexity in engineering design and manufacturing10.1016/j.cirp.2012.05.001 ↗
2. Innovation and design in the age of artificial intelligence10.1111/jpim.12523 ↗
3. A case-based decision theory based process model to aid product conceptual design10.1007/s10586-017-1190-z ↗
4. New development of C-TRIZ under the innovative engineer-inventor model in batch
5. Product concept generation and selection using sorting technique and fuzzy c-means algorithm10.1016/j.cie.2006.05.003 ↗
6. Sauro, J., and Lewis, J.R. (2016). Quantifying the User Experience: Practical Statistics for User Research, Morgan Kaufmann.10.1016/B978-0-12-802308-2.00002-3 ↗
7. Transformative innovation: Turning commoditised products into radically high-valued products10.1007/s10845-016-1293-z ↗
8. The evolution and complexity of technological innovation
9. Design prototyping methods: State of the art in strategies, techniques, and guidelines10.1017/dsj.2017.10 ↗
10. An integration of TRIZ and the systematic approach of Pahl and Beitz for innovative conceptual design process10.1007/s40430-013-0106-y ↗
11. Ulrich, K.T., and Epplinger, S.D. (2016). Product Design and Development, McGraw-Hill Education.
12. Can Pahl and Beitz’systematic approach be a predictive model of designing10.1017/dsj.2017.24 ↗
13. Enhancing functional decomposition and morphology with TRIZ: Literature review10.1016/j.compind.2017.09.004 ↗
14. Boavida, R., Navas, H., Godina, R., Carvalho, H., and Hasegawa, H. (2020). A combined use of TRIZ methodology and eco-compass tool as a sustainable innovation model. Appl. Sci., 10.10.3390/app10103535 ↗
15. Understanding TRIZ through the review of top cited publications10.1016/j.compind.2016.06.002 ↗
16. Innovative design approach for product design based on TRIZ, AD, fuzzy and Grey relational analysis10.1016/j.cie.2020.106276 ↗
17. Quantifying the advantages of TRIZ in sustainability through life cycle assessment10.1016/j.jclepro.2021.126955 ↗
18. Complex acts of knowing: Paradox and descriptive self-awareness10.1108/13673270210424639 ↗
19. Managing complexity in projects: Extending the Cynefin framework10.1016/j.plas.2021.100017 ↗
20. Cynefin as reference framework to facilitate insight and decision-making in complex contexts of biomedical research10.3389/fnins.2017.00634 ↗
21. A leader’s framework for decision making
22. Emerging learning environments in engineering education
23. Representing driver-response complexity in ecosystems using an improved conceptual model10.1016/j.ecolmodel.2020.109320 ↗
24. A knowledge-based algorithm for supply chain conflict detection based on OTSM-TRIZ problem flow network approach
25. A holistic method of complex product development based on a neural network-aided technological evolution system10.1016/j.aei.2021.101294 ↗
26. Prioritized relevant effect identification for problem solving based on similarity measures10.1016/j.eswa.2018.01.032 ↗
27. Pahl, G., Beitz, W., Feldhusen, J., and Grote, K.H. (2007). Engineering Design: A Systematic Approach, Springer.10.1007/978-1-84628-319-2 ↗
28. Design-by-analogy: Experimental evaluation of a functional analogy search methodology for concept generation improvement10.1007/s00163-014-0186-4 ↗
29. Ullman, D.G. (2010). The Mechanical Design Process, McGraw-Hill Education.
30. The 7 pillars of TRIZ philosophies10.1016/j.cie.2020.106572 ↗
31. Study of an innovative method based on complementarity between ARIZ, lean management and discrete event simulation for solving warehousing problems10.1016/j.cie.2019.04.024 ↗
32. A review of TRIZ, and its benefits and challenges in practice10.1016/j.technovation.2012.11.003 ↗
33. Ramírez-Rios, L.Y., Camargo-Wilson, C., Olguín-Tiznado, J.E., and López-Barreras, J.A. (2021). Inzunza-González, E.; García-Alcaraz, J.L. Design of a Modular Plantar Orthosis System through the Application of TRIZ Methodology Tools. Appl. Sci., 11.10.3390/app11052051 ↗
34. A TRIZ-based trimming method for patent design around10.1016/j.cad.2014.10.005 ↗
35. Feng, L., Niu, Y., and Wang, J. (2020). Development of morphology analysis-based technology roadmap considering layer expansion paths: Application of TRIZ and Text Mining. Appl. Sci., 10.10.3390/app10238498 ↗
36. Ezickson, J. (2021, November 12). Deploying Innovation and Inventive Thinking in Organisations—Applying TRIZ to Non-Technical Fields of Business. Available online: http://www.aitriz.org/articles/InsideTRIZ/30393033-457A69636B736F6E.
37. Using TRIZ as an entrepreneurship tool
38. Zlotin, B., Zusman, A., Kaplan, L., Visnepolschi, S., Proseanic, V., and Malkin, S. (2021, August 05). TRIZ beyond Technology: The Theory and Practice of Applying TRIZ to Nontechnical Areas. Available online: https://triz-journal.com.
39. What is TRIZ? From conceptual basics to a framework for research10.1111/j.1476-8691.2005.00320.x ↗
40. A decision theory perspective on complexity in performance measurement and management10.1108/IJOPM-10-2016-0632 ↗
41. Cynefin, statistics and decision analysis10.1057/jors.2012.23 ↗
42. A multi-ontology view of ergonomics: Applying the cynefin framework to improve theory and practice10.3233/WOR-2012-0246-812 ↗
43. Hallo, L., Nguyen, T., Gorod, A., and Tran, P. (2020). Effectiveness of leadership decision-making in complex systems. Systems, 8.10.3390/systems8010005 ↗
44. The measurement of environmental performance: An application of ashby’s law10.1002/sres.524 ↗
45. Mann, D. (2019, January 11–14). If All You Have Is a Hammer: TRIZ and complexity. Proceedings of the TRIZ Future Conference, Heilbronn, Germany.10.1007/978-3-030-32497-1_1 ↗
46. Managing complexity: The case of nanomaterials10.1007/s11051-018-4456-3 ↗
47. Ramalho, R.A.S., Sant’Ana, R.C.G., and Paletta, F.C. (2021). Contributions of information science in the data science era: Analysis from the cynefin framework. Role of Information Science in a Complex Society, IGI Global.10.4018/978-1-7998-6512-4.ch004 ↗
48. Unpacking the black box of improvement10.1093/intqhc/mzy009 ↗
49. Making sense in a complex landscape: How the cynefin framework from complex adaptive systems theory can inform health promotion practice10.1093/heapro/dar089 ↗
50. Cynefin framework for evidence-informed clinical reasoning and decision-making
51. Ashby’s law of requisite variety: An empirical study10.1080/01969728708902152 ↗
52. Tan, R.H. (2020). C-TRIZ and Its Application: Theory of Inventive Process Solving, Higher Education Press.
53. Altshuller, G. (1999). TRIZ, Systematic Innovation and Technical Creativity, Technical Innovation Center.
54. Ma, L.H. (2007). Research on Key Technologies in TRIZ for Multi-Contradiction Oriented Problem. [Ph.D. Thesis, Hebei University of Technology].
55. Accelerating preliminary low-carbon design for products by integrating TRIZ and extenics methods10.1177/1687814017725461 ↗
56. Mann, D., and Stratton, R. (2021, August 05). Physical Contradictions and Evaporating Clouds. Available online: https://triz-journal.com.
57. Service conflict identification and resolution for design of product–service offerings10.1016/j.cie.2016.05.019 ↗
58. Innovating problem solving for sustainable green roofs: Potential usage of TRIZ–Theory of inventive problem solving10.1016/j.ecoleng.2016.11.036 ↗
59. On contradiction clouds10.1016/j.proeng.2011.03.126 ↗
60. Khomenko, N., and Guio, R.D. (2007). OTSM network of problems for representing and analysing problem situations with computer support. Trends in Computer Aided Innovation, Springer.10.1007/978-0-387-75456-7_8 ↗
61. Innovation beyond optimization: Application to cutting tool design10.1016/j.cie.2021.107139 ↗
62. Enhancing creativity for development of automation solutions using OTSM-TRIZ: A systematic case study in agronomic industry10.1177/1687814017751950 ↗
63. Model and algorithm for computer-aided inventive problem analysis10.1016/j.cad.2011.02.013 ↗
64. Khomenko, N., and Ashtiani, M. (2007, January 6–8). Classical TRIZ and OTSM as a scientific theoretical background for non-typical problem solving instruments. Proceedings of the TRIZ Future Conference, Frankfurt, Germany.
65. A framework for OTSM? TRIZ-based computer support to be used in complex problem management10.1504/IJCAT.2007.015700 ↗
66. From TRIZ to OTSM-TRIZ: Addressing complexity challenges in inventive design10.1504/IJPD.2007.011530 ↗
67. Initial situation analysis through problem graph10.1016/j.cirpj.2010.07.004 ↗
68. A Simple Methodology that Efficiently Generates All Optimal Spanning Trees for the Cable-Trench Problem
69. Optimization in Business Trade by Using Fuzzy Incidence Graphs
70. The problem flow network building and solving process model for complex product10.3901/JME.2018.23.160 ↗
71. Implementation of low-end disruptive innovation based on OTSM-TRIZ10.14733/cadaps.2020.993-1006 ↗
72. Problem flow network transformation process model oriented to inter-discipline
73. Reducing complexity by creating complexity: A systems theory perspective on how organizations respond to their environments10.1111/joms.12206 ↗
74. (2021, August 05). Effects Database. Available online: http://wbam2244.dns-systems.net//EDB_Welcome.php.
75. An integrated TRIZ approach for technological process and product innovation10.1177/0954405415583885 ↗
76. Parameter network as a means for driving problem solving process10.1504/IJCAT.2007.015703 ↗
77. Zhang, P., Li, X.D., Nie, Z.F., Yu, F., and Liu, W. (2021). A Trimming Design Method Based on Bio-Inspired Design for System Innovation. Appl. Sci., 11.10.3390/app11094060 ↗
78. Design, selecting type and application of SLJ900/32 mobile bridge erecting machine