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Project Idea Selection in an Automotive R&D Center

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Advances in Intelligent Manufacturing and Service System Informatics (IMSS 2023)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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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.

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Author information

Authors and Affiliations

  1. TOFAŞ Turkish Automobile Factory, 16120, Bursa, Turkey

    Ulviye Savaş

  2. Industrial Engineering Department, Yıldız Technical University, İstanbul, Turkey

    Serkan Altuntaş

Authors
  1. Ulviye Savaş
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  2. Serkan Altuntaş
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Corresponding author

Correspondence to Ulviye Savaş .

Editor information

Editors and Affiliations

  1. Istanbul Medipol University, Istanbul, Türkiye

    Zekâi Şen

  2. Department of Industrial Engineering, Sakarya University, Serdivan, Sakarya, Türkiye

    Özer Uygun

  3. Faculty of Applied Sciences, Sakarya University of Applied Sciences, Kaynarca, Sakarya, Türkiye

    Caner Erden

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Savaş, U., Altuntaş, S. (2024). Project Idea Selection in an Automotive R&D Center. In: Şen, Z., Uygun, Ö., Erden, C. (eds) Advances in Intelligent Manufacturing and Service System Informatics. IMSS 2023. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-6062-0_1

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  • DOI: https://doi.org/10.1007/978-981-99-6062-0_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6061-3

  • Online ISBN: 978-981-99-6062-0

  • eBook Packages: EngineeringEngineering (R0)

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