Optimierung des Innovations- und Entwicklungsprozesses von biomedizintechnischen Geräten
| Autor: | Busch, Erik |
|---|---|
| Jazyk: | němčina |
| Rok vydání: | 2021 |
| Předmět: |
innovation process
development process process model process time problem solving methods medical devices cardiovascular diseases Innovationsprozess Entwicklungsprozess Prozessmodell Prozesszeit Problemlösungsmethoden medizinische Geräte kardiovaskuläre Erkrankungen info:eu-repo/classification/ddc/610 ddc:610 |
| Druh dokumentu: | Text<br />Doctoral Thesis |
| Popis: | Objective: Cardiovascular diseases are the leading cause of death. The gold standard for their diagnosis and treatment are angiographic procedures. Clinicians rely on dedicated and specialized equipment for these interventions, e.g. angiography systems. The speed of the associated development is important as better technology enables progress in treatment methods and clinical outcomes. The goal of this article is to show how to optimize the innovation and development process such that it takes minimal time. Methods: 672 data sets on 302 topics were collected over 47 months during a long-term observation of the innovation and development process of angiographic systems. The total data collected is equivalent to efforts worth 30 man-years. This input was used to calculate key process parameters, analyse key process roles, evaluate the use of problem-solving methods and identify key technologies. We also developed a process model comprising the primary innovation sources, important input providers and key processes. This model is characterized by a continuous loop for the innovation and development process. Results: The conducted literature research identifies this closed loop process model as being unique in comparison to the well-established models proposed by Brockhoff, Cooper, Crawford, Durfee, Ebert, Eppinger, Hughes, Pleschak, Thom, Ulrich, Vahs and Witt. According to the best knowledge of the authors no comparable data collection has been performed and presented anywhere else yet. When analysing our 672 data sets, we found that the median process time ( in this data pool (n=672) was to be 10 weeks (p |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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