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EN
Multistage expert surveys like the Delphi method are proven concepts for technology forecasting that enable the prediction of content-related and temporal development in fields of innovation (e.g., [1, 2]). Advantages of these qualitative multistage methods are a simple and easy to understand concept while still delivering valid results [3]. Nevertheless, the literature also points out certain disadvantages especially in large-scale technology forecasts in particularly abstract fields of innovation [4]. The proposed approach highlights the usefulness of the repertory grid method as an alternative for technology forecasting and as a first step for preference measurement. The basic approach from Baier and Kohler [5] is modified in-so-far that an online survey reduces the cognitive burden for the experts and simplifies the data collection process. Advantages over alternative approaches through its simple structure and through combining qualitative and quantitative methods are shown and an adaption on an actual field of innovation – civil drones in Germany – is done. The measurement of a common terminology for all experts minimizes misunderstandings during the interview and the achievement of an inter-individual comparable level of abstraction is forced by the laddering technique [6] during the interview.
2
Content available Integration of TRIZ into quality function deployment
EN
Purpose: The objective of successful companies is the integration of customer requirements in the development process of a new product. Therefore, the Quality Function Deployment method has proven useful several times. The customer requirements often contain contradictions, which are mostly solved by compromises. The aim should be to integrate all customers’ demands and wishes into future products. Methodology: The theory of inventive problem solving can be applied to eliminate compromises in the product development. The method’s different tools enable a goal-oriented and systematic conflict resolution and may help to uncover trends. This paper displays an approach where individual tools of TRIZ are integrated into the Quality Function Deployment. Results: The result of this work is the presentation of the resulting benefits from combining the two methods. For this reason, individual tools of TRIZ are used in different points of the QFD process. The paper shows examples of starting points. Value of paper: In the context of this paper, the benefits from the interaction of QFD and TRIZ are presented. These are particularly evident in the initial phase of project implementation. In this phase the goal of the QFD process is to succeed in translating the voice of the customer for the company and then integrating it into the product development.
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