Evaluation of the Transition Process of Industry 4.0 in Automotive Supplier Industry

Yıl 2020, Cilt: 4 Sayı: 2, 1 - 18, 30.09.2020

Nermin Avşar Özcan Ali Sevinç , Şeyda Gür , Evrencan Özcan , Tamer Eren

Öz

The fourth industrial revolution is defined as the processes of full automation and digitization. The automotive industry, which is one of the most experienced and applied technological developments, takes its competitiveness power from these transformations. Automotive supplier industry, which is an industry branch with the supplier of parts and piece provided to the automotive sector, is one of the fastest developing areas of technology. By automating the production processes of automation and smart processes, it is possible to increase the productivity in the enterprises and to produce products in accordance with international standards. Besides the positive effects of the fourth industrial revolution on enterprises, there are also high cost effects. Businesses are hesitant to integrate the industry 4.0 processes due to these effects. In this study, the difficulties experienced in adapting to the industry 4.0 processes of the enterprises in the automotive supplier industry are analysed. In this study, it is aimed at evaluating these challenges with surveys conducted in Turkey with the province in the Konya and statistical analysis of this questionnaire. The enterprises that take into account the results obtained from the analysis are allowed to shape their strategic objectives in order to overcome these difficulties.

Anahtar Kelimeler

Industry 4.0, automotive supplier industry, enterprises behaviour, statistical analysis

Proje Numarası

2015/138

Kaynakça

• Aksaraylı, M., Özgen, I. (2008). A study on the role of emotional intelligence in academic career development. Ege Academic Overview, 8(2), 755-769.
• Avşar Özcan, N. (2014). Analysing the Relationship Between Satisfaction Level from Car and Traffic Accident with Driver Satisfaction Scale. Phd Thesis. Gazi University Institute of Science and Technology.
• Brettel, M., Friederichsen, N., Keller, M., & Rosenberg, M. (2014). How virtualization, decentralization and network building change the manufacturing landscape: An industry 4.0 perspective. International Journal of Mechanical, Industrial Science and Engineering, 8(1), 37-44.
• Bulut, E., & Akçaci, T. (2017). Industry 4.0 and within the scope of innovation indicators analysis of Turkey. Assam International Refereed Journal, 4(7), 55-77.
• Çoban, O. (2007). Industrial productivity and efficiency in Turkish Automotive Industry. Erciyes University Faculty of Economics and Administrative Sciences Journal, (29), 17-36.
• Eti İçli, G. & Vural, B.B. (2010). Kırklareli University Vocational school’s student satisfaction survey within the framework of total quality management and applications. Journal of Marmara University Faculty of Economics and Administrative Sciences, 28(1), 335-349.
• Ercan, İ. & Kan, İ. (2004). Reliability and validity in scales. Uludag University Faculty of Medicine Journal, 30(3), 211-216.
• Faller, C., & Feldmüller, D. (2015). Industry 4.0 learning factory for regional SMEs. Procedia Cirp, 32, 88-91.
• Gabaçlı, N., & Uzunöz, M. (2017). IV. Industrial Revolution: Industry 4.0 and Automotive Sector. In Icpess (International Congress on Politic, Economic and Social Studies) (No. 3).
• Grzybowska, K., & Łupicka, A. (2017). Key Competencies for Industry 4.0. Economics & Management Innovations, 1(1), 250-253.
• Hozdić, E. (2015). Smart factory for industry 4.0: A Review. International Journal of Modern Manufacturing Technologies, 7(1), 28-35.
• İlter, B. & Gökmen, H. (2009). An investigation on the relationship between customer satisfaction and relational benefit in deposit banks: The case of İzmir province. Journal of Dokuz Eylül University Institute of Social Sciences, 11(1), 1-32.
• Karabegović, I. (2016). The role of industrial robots in the development of automotive industry in China. International Journal of Engineering Works, 3(12), 92-97.
• Keser, A. (2005). Relationship between job satisfaction and life satisfaction: A case study in the automotive sector. Work and Society, 4, 77-95.
• Konya ABIGEM, (2017). Sector Reports Preparation Project for the Development of Investment and Export Figures of Konya, Konya Chamber of Commerce.
• Kılıç, S. (2016). Cronbach's alpha reliability coefficient. Journal of Mood Disorders, 6(1), 47-48. Lasi, H., Fettke, P., Kemper, H. G., Feld, T., & Hoffmann, M. (2014). Industry 4.0. Business &
• Information Systems Engineering, 6(4), 239-242.
• Liao, Y., Deschamps, F., Loures, E. D. F. R., & Ramos, L. F. P. (2017). Past, present and future of industry 4.0-a systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609-3629.
• Liu, Y., & Xu, X. (2017). Industry 4.0 and cloud manufacturing: A comparative analysis. Journal of Manufacturing Science and Engineering, 139(3), 034701.
• Manavalan, E., & Jayakrishna, K. (2019). A Review of Internet of Things (IoT) Embedded Sustainable Supply Chain for Industry 4.0 Requirements. Computers & Industrial Engineering, 127, 925-953.
• Mičieta, B., Herčko, J., Botka, M., & Zrnić, N. (2016). Concept of intelligent logistic for automotive industry. Journal of Applied Engineering Science, 14(2), 233-238.
• Özcan Avşar, N., Bayrak, H., Yasak, Y. (2014). Driver Satisfaction Scale (Dss) Developed for Determining the Satisfaction of Drivers from Their Cars. Selcuk University Journal of Social Sciences Institute, 31, 117-130.
• Rüßmann, M., Lorenz, M., Gerbert, P., Waldner, M., Justus, J., Engel, P., & Harnisch, M. (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. Boston Consulting Group, 9.
• Roblek, V., Meško, M., & Krapež, A. (2016). A complex view of industry 4.0. Sage Open, 6(2), 2158244016653987.
• Sevinç, A., Gür, Ş., & Eren, T. (2018). Analysis of the difficulties of SMEs in industry 4.0 applications by analytical hierarchy process and analytical network process. Processes, 6(12), 264.
• Stock, T., & Seliger, G. (2016). Opportunities of sustainable manufacturing in industry 4.0. Procedia Cirp, 40, 536-541.
• Soylu, A. (2018). Industry 4.0 and new approaches to entrepreneurship. Pamukkale University Journal of Social Sciences Institute, (32), 43-57.
• Tubitak, (2018). Parts Sector (Automotive Supplier Industry) 2023 Vision.
• Theorin, A., Bengtsson, K., Provost, J., Lieder, M., Johnsson, C., Lundholm, T., & Lennartson, B. (2017). An event-driven manufacturing information system architecture for industry 4.0. International Journal oProduction Research, 55(5), 1297-1311.
• Uslu, B., Gür, Ş. & Eren, T. (2019). Evaluation of strategies for industry 4.0 application with AAS and TOPSIS methods. Anadolu University Journal of Science and Technology B- Theoretical Sciences, 7, 13-28.
• Yılmaz, K. (2007). Primary School 6th, 7th And 8th grade students' views on the quality of school life. Kastamonu Education Journal, 15(2):485-490.
• Yazıcıoğlu, Y. & Erdoğan, S. (2004). SPSS applied scientific research methods. Ankara, Detail Publishing, 50.
• Zhou, K., Liu, T., & Zhou, L. (2015). Industry 4.0: Towards future industrial opportunities and challenges. In Fuzzy Systems and Knowledge Discovery (FSKD), 12th International Conference On (Pp. 2147-2152). IEEE.
• Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of industry 4.0: A review. Engineering, 3(5), 616-630.
• Qin, J., Liu, Y., & Grosvenor, R. (2016). A categorical framework of manufacturing for Industry 4.0 and beyond. Procedia Cirp, 52, 173-178.
• Xu, L. D., Xu, E. L., & Li, L. (2018). Industry 4.0: State of the art and future trends. International Journal of Production Research, 56(8), 2941-2962.
• Weyer, S., Meyer, T., Ohmer, M., Gorecky, D., & Zühlke, D. (2016). Future modeling and simulation of cps-based factories: An example from the automotive industry. Ifac-Papersonline, 49(31), 97-102.