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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.
In der Wertanalyse ist die Methodik TRIZ (Theorie der Lösung erfinderischer Problemstellungen) seit vielen Jahren als Werkzeug zur Kostensenkung oder zur Steigerung der Funktionalität von Produkten bekannt. Seit ihrem ersten Bekanntwerden in Westeuropa hat sich auch TRIZ weiterentwickelt. So wurden Methoden zur Modellierung von Systemen inzwischen erweitert und um Werkzeuge zur schnellen Lösungsfindung, zur Fehlervoraussage und zur Produktplanung neu entwickelt. Durch den weltweiten wissenschaftlichen Fortschritt, die Verwendung unterschiedlicher Sprachen und neue Literatur ist andererseits auch die verwendete Terminologie angewachsen und nicht mehr eindeutig. Die neue VDI-Richtlinie 4521, von deren erstem Teil nun der Gründruck vorliegt, zielt deswegen auf eine Standardisierung der Terminologie und eine vereinheitlichte Beschreibung der Methoden ab. Mit ihrer Hilfe sollen das Studium der Methodik erleichtert, die Benutzung von Literatur vereinfacht und Inhalte der TRIZ klarer darstellbar werden.
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.
This paper focuses on appropriately measuring the accuracy of forecasts of load behavior and renewable generation in micro-grid operation. Common accuracy measures like the root mean square of the error are often difficult to interpret for system design, as they describe the mean accuracy of the forecast. Micro-grid systems, however, have to be designed to handle also worst case situations. This paper therefore suggests two error measures that are based on the maximum function and that better allow understanding worst case requirements with respect to balancing power and balancing energy supply.