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Accelerated transformation of the society and industry through digi-talization, artificial intelligence and other emerging technologies has intensified the need for university graduates that are capable of rapidly finding breakthrough solutions to complex problems, and can successfully implement innovation con-cepts. However, there are only few universities making significant efforts to com-prehensively incorporate creative and systematic tools of TRIZ (theory of in-ventive problem solving) and KBI (knowledge-based innovation) into their de-gree structure. Engineering curricula offer little room for enhancing creativity and inventiveness by means of discipline‐specific subjects. Moreover, many ed-ucators mistakenly believe that students are either inherently creative, or will in-evitably obtain adequate problem-solving skills as a result of their university study. This paper discusses challenges of intelligent integration of TRIZ and KBI into university curricula. It advocates the need for development of standard guidelines and best-practice recommendations in order to facilitate sustainable education of ambitious, talented, and inventive specialists. Reflections of educa-tors that teach TRIZ and KBI to students from mechanical, electrical, process engineering, and business administration are presented.
This paper presents the results of the idea generation experiment that repeats the study originally conducted at RMIT. In order to establish the influence that the experimental treatments make on the number and the breadth of solution ideas proposed by problem solvers with different knowledge levels, students from different years of study were recruited. Ninety students from the Offenburg University of Applied Sciences, Germany were divided into three groups. All students were asked to generate ideas on cleaning lime deposits from the inside of a water pipe and were given 16 minutes to record their individual ideas. Students of two experimental groups were shown some words for two minuted each. The Su-Field group was exposed to the eight fields of MATCEMIB. The Random Word group was shown eight random words every two minutes. The Su-Field group outperformed both the Control group and the Random Word group in the number of ideas generated. It was also found that the students from the Su-Field group proposed significantly broader solutions than the students from the Control and Random Word groups. The overall results of the experiment support the conclusions made by the RMIT researchers that simple ideation techniques can significantly improve idea generation and that the systematised Substance-Field Analysis is a suitable heuristic for engineering students.
Structured Innovation with TRIZ in Science and Industry - Creating Value for Customers and Society
(2016)
Process engineering focuses on the design, operation, control and optimization of chemical, physical and biological processes and has applications in many industries. Process Intensification is the key development approach in the modern process engineering. The proposed Advanced Innovation Design Approach (AIDA) combines the holistic innovation process with the systematic analytical and problem solving tools of the theory of inventive problem solving TRIZ. The present paper conceptualizes the AIDA application in the field of process engineering and especially in combination with the Process Intensification. It defines the AIDA innovation algorithm for process engineering and describes process mapping, problem ranking, and concept design techniques. The approach has been validated in several industrial case studies. The presented research work is a part of the European project “Intensified by Design® platform for the intensification of processes involving solids handling”.
Process engineering (PE) focuses on the design, operation, control and optimization of chemical, physical and biological processes and has applications in many industries. Process intensification (PI) is the key development approach in the modern process engineering. The theory of inventive problem solving (TRIZ) is today considered as the most comprehensive and systematically organized invention knowledge and creative thinking methodology. This paper analyses the opportunities of TRIZ application in PE and especially in combination with PI. In this context the paper outlines the major challenges for TRIZ application in PE, conceptualizes a possible TRIZ-based approach for process intensification and problem solving in PE, and defines the corresponding research agenda. It also presents the results of the original empirical innovation research in the field of solid handling in the ceramic industry, demonstrates a method for identification and prediction of contradictions and introduces the concept of the probability of contradiction occurrence. Additionally, it describes a technique of process mapping that is based on the function and multi-screen analysis of the processes. This technique is illustrated by a case study dealing with granulation process. The research work presented in this paper is a part of the European project “Intensified by Design® platform for the intensification of processes involving solids handling”.
Rising societies’ demands require more sustainable products and technologies. Although numerous methods and tools have been developed in the last decades to support environmental-friendly product and process development, an interdisciplinary knowledge base of eco-innovative examples linked to the eco-innovative problems and solution principles is lacking. The paper proposes an ontology of examples for eco-friendly products and technologies assigned to the Inventive Principles (IPs) of the TRIZ methodology in accordance with the German TRIZ Standard VDI 4521. The examples of sustainable technologies and products build a database for sharing and reusing eco-innovation knowledge. The ontology acts as a tool for systematic solving of specific environmental problems in typical life cycle phases, for different environmental impact categories and engineering domains. Finally, the paper defines a future research agenda in the field of the TRIZ-based systematic eco-innovation.
The process of establishing an industry standard for TRIZ has been initiated: VDI Guideline 4521 will cover TRIZ. Work is going on on the first part of the standard which will define and explain basic TRIZ vocabulary and notions. A first draft of a list of terms has been compiled by V. Souchkov and is currently being discussed at MATRIZ. The standardization committee consists of TRIZ specialists of various degrees together with TRIZ users from industry. It is working in close connection with MATRIZ. In parallel, translations for the elements of TRIZ terminology into several languages are being sought. According to schedule, work on the first part of the standard may be finished by July 2014 and may go into print by the end of the year.
VDI Standard 4521: Status
(2016)
VDI Guideline 4521 Part 1: “Inventive problem solving with TRIZ: Part 1 – Fundamentals and definitions” has been published on 2015-04-01. The standard will sharpen the image of TRIZ, facilitate cooperation, and support studying and teaching. It is not a textbook but concisely summarizes basic assumptions of TRIZ and its terminology. It gives an overview on specific methods and tools which will be described in the following parts.
In the modern knowledge-based and digital economy, the value of knowledge is growing relative to other assets and new intellectual property is being created at an ever-increasing rate. Therefore, the ability to find non-trivial solutions, systematically generate new concepts, and create intellectual property rapidly become crucial to achieving competitive advantage and leveraging the intellectual potential of organizations.
Cross-industry innovation is commonly understood as identification of analogies and interdisciplinary transfer or copying of technologies, processes, technical solutions, working principles or models between industrial sectors. In general, creative thinking in analogies belongs to the efficient ideation techniques. However, engineering graduates and specialists frequently lack the skills to think across the industry boundaries systematically. To overcome this drawback an easy-to-use method based on five analogies has been evaluated through its applications by students and engineers in numerous experiments and industrial case studies. The proposed analogies help to identify and resolve engineering contradictions and apply approaches of the Theory of Inventive Problem Solving TRIZ and biomimetics. The paper analyses the outcomes of the systematized analogies-based ideation and outlines that its performance continuously grows with the engineering experience. It defines metrics for ideation efficiency and ideation performance function.