Research Article
Year 2022,
Volume: 20 Issue: 2, 49 - 60, 28.11.2022
Abstract
References
- [1] Vieira, L. C., Longo, M., & Mura, M. (2021). Are the European manufacturing and energy sectors on track for achieving net-zero emissions in 2050? An empirical analysis. Energy Policy, 156, 112464.
- [2] Chaurey, S., Kalpande, S. D., Gupta, R. C., & Toke, L. K. (2021). A review on the identification of total productive maintenance critical success factors for effective implementation in the manufacturing sector. Journal of Quality in Maintenance Engineering.
- [3] Jin, Z., Hewitt-Dundas, N., & Thompson, N. J. (2004). Innovativeness and performance: evidence from manufacturing sectors. Journal of Strategic Marketing, 12(4), 255-266.
- [4] Terziovski, M. (2010). Innovation practice and its performance implications in small and medium enterprises (SMEs) in the manufacturing sector: a resource‐based view. Strategic management journal, 31(8), 892-902.
- [5] Dewangan, D. K., Agrawal, R., & Sharma, V. (2015). Enablers for competitiveness of Indian manufacturing sector: an ISM-fuzzy MICMAC analysis. Procedia-Social and Behavioral Sciences, 189, 416-432.
- [6] Bickauske, D., Simanaviciene, Z., Jakubavicius, A., Vilys, M., & Mykhalchyshyna, L. (2020). Analysis and perspectives of the level of enterprises digitalization (Lithuanian manufacturing sector case). Independent Journal of Management & Production, 11(9), 2291-2307.
- [7] Yurdakul, M., & İç, Y. T. (2018). Development of a multi-level performance measurement model for manufacturing companies using a modified version of the fuzzy TOPSIS approach. Soft Computing, 22(22), 7491-7503.
- [8] İç, Y. T., & Yurdakul, M. (2021). Development of a new trapezoidal fuzzy AHP-TOPSIS hybrid approach for manufacturing firm performance measurement. Granular Computing, 6(4), 915-929.
- [9] Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58-191). Springer, Berlin, Heidelberg.
Orta ve Yüksek Teknoloji Ürünleri Üreten İmalat Sektörlerinin Son On Yıldaki Performansının Değerlendirilmesi
Abstract
Ekonomik gelişmelere paralel olarak imalat sektörlerinin gelişimi de sürmektedir. Türkiye ekonomisi son on yıllık süreçte özellikle ileri teknoloji ürünü ürünlerin üretimine odaklanarak, yüksek katma değerli ürün ihracatına yönelmektedir. Bu kapsamda imalat sektörleri düşük, orta ve ileri teknoloji üreten sektörler olarak gruplanmakta ve özellikle ileri teknoloji ürünleri üreten sektörler desteklenmeye çalışılmaktadır. Bu çalışmada son on yıllık süreçte Türkiye ekonomisinin makro göstergeleri kullanılarak özellikle orta ve ileri teknoloji üreten imalat sektörlerinin performans gelişimi analiz edilmiştir. Bu amaçla çok ölçütlü karar verme yöntemlerinden biri olan TOPSIS yöntemi kullanılmıştır. TOPSIS yöntemiyle alternatif imalat sektörleri makroekonomik göstergeler bazında farklı senaryolara göre sıralanmıştır.
References
- [1] Vieira, L. C., Longo, M., & Mura, M. (2021). Are the European manufacturing and energy sectors on track for achieving net-zero emissions in 2050? An empirical analysis. Energy Policy, 156, 112464.
- [2] Chaurey, S., Kalpande, S. D., Gupta, R. C., & Toke, L. K. (2021). A review on the identification of total productive maintenance critical success factors for effective implementation in the manufacturing sector. Journal of Quality in Maintenance Engineering.
- [3] Jin, Z., Hewitt-Dundas, N., & Thompson, N. J. (2004). Innovativeness and performance: evidence from manufacturing sectors. Journal of Strategic Marketing, 12(4), 255-266.
- [4] Terziovski, M. (2010). Innovation practice and its performance implications in small and medium enterprises (SMEs) in the manufacturing sector: a resource‐based view. Strategic management journal, 31(8), 892-902.
- [5] Dewangan, D. K., Agrawal, R., & Sharma, V. (2015). Enablers for competitiveness of Indian manufacturing sector: an ISM-fuzzy MICMAC analysis. Procedia-Social and Behavioral Sciences, 189, 416-432.
- [6] Bickauske, D., Simanaviciene, Z., Jakubavicius, A., Vilys, M., & Mykhalchyshyna, L. (2020). Analysis and perspectives of the level of enterprises digitalization (Lithuanian manufacturing sector case). Independent Journal of Management & Production, 11(9), 2291-2307.
- [7] Yurdakul, M., & İç, Y. T. (2018). Development of a multi-level performance measurement model for manufacturing companies using a modified version of the fuzzy TOPSIS approach. Soft Computing, 22(22), 7491-7503.
- [8] İç, Y. T., & Yurdakul, M. (2021). Development of a new trapezoidal fuzzy AHP-TOPSIS hybrid approach for manufacturing firm performance measurement. Granular Computing, 6(4), 915-929.
- [9] Hwang, C. L., & Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58-191). Springer, Berlin, Heidelberg.
There are 9 citations in total.
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Mechanical Engineering |
| Journal Section | Araştırma, Geliştirme ve Uygulama Makaleleri |
| Authors | |
| Publication Date | November 28, 2022 |
| Submission Date | March 27, 2022 |
| Published in Issue | Year 2022 Volume: 20 Issue: 2 |
