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INDUSTRY 4.0 AND PRODUCTIVITY: EXPLORATORY CASE STUDY IN TURKISH WHITE GOODS INDUSTRY

Yıl 2022, DİJİTAL DÖNÜŞÜM VE VERİMLİLİK, 207 - 224, 12.01.2022
https://doi.org/10.51551/verimlilik.988466

Öz

Purpose: It is aimed to reveal the status of Industry 4.0, its implementation examples, the advantages and challenges in the transformation process, and the effect of Industry 4.0 on productivity for two leading manufacturers and one of their suppliers operating in the Turkish white goods industry.

Methodology: The exploratory case study method was used as suggested by Yin (2002, 2017). Evidence was obtained via semi-structured interviews, direct observations, and online documents regarding companies.

Findings: Turkish white goods companies have made significant efforts in the transformation of Industry 4.0 and perceive the transformation as a must. Companies allocate a special budget for Industry 4.0 and attach great importance to data collection/analytics. The investments have a positive effect on productivity even in the short term.

Originality: The current paper is the first academic work that unveils the status of Industry 4.0 in the white goods industry, which is the second-largest white goods manufacturer in the world and one of the most innovative and digitally mature sectors, through a case study.

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ENDÜSTRİ 4.0 VE VERİMLİLİK: TÜRK BEYAZ EŞYA SEKTÖRÜNDE KEŞFEDİCİ DURUM ÇALIŞMASI

Yıl 2022, DİJİTAL DÖNÜŞÜM VE VERİMLİLİK, 207 - 224, 12.01.2022
https://doi.org/10.51551/verimlilik.988466

Öz

Amaç: Türk beyaz eşya sektörünün önde gelen iki ana üreticisi ve bu üreticilerin tedarikçisi konumundaki bir yan sanayi şirketi için Endüstri 4.0'ın durumunu, uygulama örneklerini, dönüşüm sürecinde elde edilen avantajları/karşılaşılan zorlukları ve Endüstri 4.0’ın verimliliğe etkisini ortaya koymak amaçlanmaktadır.

Yöntem: Yin (2002, 2017) tarafından önerildiği şekliyle keşfedici durum çalışması yöntemi kullanılmıştır. Kanıtlar ise yarı-yapılandırılmış mülakatlar, doğrudan gözlemler ve şirketlere yönelik online belgelerden elde edilmiştir.

Bulgular: Türk beyaz eşya sektörü şirketleri Endüstri 4.0 dönüşümü için çaba sergilemekte ve dönüşümü zorunluluk olarak algılamaktadır. Şirketler, Endüstri 4.0’a özel bütçe ayırmakta ve en çok veri toplama/analitiğine önem vermektedir. Yapılan yatırımların ise kısa vadede dahi verimliliğe etkisi olumlu olmuştur.

Özgünlük: Mevcut makale, dünyanın en büyük ikinci beyaz eşya üreticisi ve Türkiye'nin en yenilikçi ve en yüksek dijital olgunluğa sahip sektörlerinden biri olan beyaz eşya sektöründe Endüstri 4.0’ın durumunu vaka analiziyle ortaya koyan ilk akademik çalışma niteliğindedir.

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  • Timurcanday Özmen, Ö.N., Eriş, E.D., Süral Özer, P. ve Zerey, H. (2019). “Endüstri 4.0’a Bütüncül Bir Yaklaşım: Örnek Olay Analizi ve Stratejik Yol Haritası”, Dokuz Eylül Üniversitesi İşletme Fakültesi Dergisi, 20(2), 499-520. Toker, K. (2018). “Endüstri 4.0 ve Sürdürülebilirliğe Etkileri”, İstanbul Üniversitesi İşletme Fakültesi İşletme İktisadı Enstitüsü Yönetim Dergisi, 29(84), 51-64.
  • Trademap. (2020). https://www.trademap.org/ındex.aspx, (Erişim Tarihi: 13.03.2020). Tschandl, M. ve Mallaschitz, C. (2016). “Industrie 4.0: Controller Als Treiber Einer Strategischen Neuausrichtung”, Controlling und Industrie, 4, 85-106.
  • TÜBİTAK. (2017). “Yeni Sanayi Devrimi Akıllı Üretim Sistemleri Teknoloji Yol Haritası”, V2, http://www.tubitak.gov.tr/sites/default/files/akilli_uretim_sistemleri_tyh_v2-03ocak2017.pdf, (Erişim Tarihi: 29.08.2021).
  • Türkel, S. ve Bozağaç, F. (2018). “Endüstri 4.0’ın İnsan Kaynakları Yönetimine Etkileri”, Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi, 5(9), 419-441.
  • Tvenge, N. ve Martinsen, K. (2018). “Integration of Digital Learning in Industry 4.0”, Procedia Manufacturing, 23, 261-266.
  • UNIDO. (2018). “Industry 4.0 - The Opportunities Behind the Challenge”, Viyana, https://www.unido.org/sites/default/files/files/2018-11/unıdo_gc17_ındustry40.pdf, (Erişim Tarihi: 29.08.2021). Vogel-Heuser, B. ve Jumar, U. (2019). “Scientific Fundamentals of Industry 4.0”, At-Automatisierungstechnik, 67(6), 502-503.
  • Von Haartman, R., Bengtsson, L. ve Niss, C. (2016). “Lean Practices as Requisites for the Use of Digital Technology in Production”, Proceedings of the 23rd Euroma Conference, 17-22 Haziran, Trondheim, Norveç.
  • Von Leipzig, T., Gamp, M., Manz, D., Shöttle, K., Ohlhausen, P., Oosthuizen, G., Palm, D. ve Von Leipzig, K. (2017). “Initialising Customer-Orientated Digital Transformation in Enterprises”, Procedia Manufacturing, 8, 517-524.
  • Wagner, T., Herrmann, C. ve Thiede, S. (2017). “Industry 4.0 Impacts on Lean Production Systems”, Procedia CIRP, 63, 125-131.
  • Waibel, M.W., Steenkamp, L. P., Moloko, N. ve Oosthuizen, G. A. (2017). “Investigating the Effects of Smart Production Systems on Sustainability Elements”, Procedia Manufacturing, 8, 731-737.
  • Walendowski, J., Kroll, H. ve Schnabl, E. (2016). “Industry 4.0. Advanced Materials (Nanotechnology)”, Technopolis, Brüksel.
  • Wübbeke, J., Meissner, M., Zenglein, M.J., Ives, J. ve Conrad, B. (2016). “Made in China 2025”, Mercator Institute for China Studies, Papers on China, 2.
  • Yıldız, A. (2018). “Endüstri 4.0 ve Akıllı Fabrikalar”, Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 22(2), 546-556.
  • Yin, R. K. (2002). “Case Study Research: Design and Methods”, 3. Baskı, Sage, Thousand Oaks, CA. Yin, R. K. (2017). “Durum Çalışması Araştırması Uygulamaları”, 3. Baskı (İ. Günbayı, Çev.), Nobel Yayınevi, Ankara.
  • Yoşumaz, İ. ve Özkara, B. (2019). “Endüstri 4.0 Sürecinin Hazır Giyim İşletmeleri Üzerindeki Etkileri: Hugo Boss Türkiye Örneği”, İşletme Araştırmaları Dergisi, 11(4), 2587-2600.
  • Yudkowsky, E. (2008). “Artificial Intelligence as a Positive and Negative Factor in Global Risk”, Global Catastrophic Risks, 1(303), 184.
  • Zainal, Z. (2007). “Case Study as a Research Method”, Jurnal Kemanusiaan, 5(1), 1-6.
  • Zhang, L., Tan, J., Han, D. ve Zhu, H. (2017). “From Machine Learning to Deep Learning: Progress in Machine Intelligence for Rational Drug Discovery”, Drug Discovery Today, 22(11), 1680-1685.
Toplam 112 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Kübra Şimşek Demirbağ 0000-0001-6404-3999

Nihal Yıldırım 0000-0002-6279-3849

Yayımlanma Tarihi 12 Ocak 2022
Gönderilme Tarihi 30 Ağustos 2021
Yayımlandığı Sayı Yıl 2022 DİJİTAL DÖNÜŞÜM VE VERİMLİLİK

Kaynak Göster

APA Şimşek Demirbağ, K., & Yıldırım, N. (2022). ENDÜSTRİ 4.0 VE VERİMLİLİK: TÜRK BEYAZ EŞYA SEKTÖRÜNDE KEŞFEDİCİ DURUM ÇALIŞMASI. Verimlilik Dergisi207-224. https://doi.org/10.51551/verimlilik.988466

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22408  Verimlilik Dergisi Creative Commons Atıf-GayrıTicari 4.0 Uluslararası Lisansı (CC BY-NC 4.0) ile lisanslanmıştır.