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Erschienen in:
2024 | OriginalPaper | Buchkapitel
Project Idea Selection in an Automotive R&D Center
verfasst von : Ulviye Savaş, Serkan Altuntaş
Erschienen in: Advances in Intelligent Manufacturing and Service System Informatics
Verlag: Springer Nature Singapore
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Abstract
R&D project selection is one of the most important issues for an R&D center. Evaluating more than one project in terms of different criteria, selecting and implementing the most appropriate project is very critical for both the company’s profit and the sustainability of the project. The project selection process is handled by different processes in companies. Due to the importance of this issue, companies adopt a selection process in line with their own strategies. In this study, an application was carried out with the fuzzy TOPSIS method to evaluate alternative project ideas that will be an R&D project in the R&D center of an automotive company. 4 different criteria were evaluated by experts for 6 different project ideas. With the implementation realized as a result of expert evaluations, a priority order was obtained for 6 project ideas. In practice, as a result of the evaluation, the alternative project P5 with the highest value in the ranking is selected as the next R&D project to be started.