Kalite 4.0

Year 2020, Issue: 21, 437 - 454, 01.01.2020

Gülin İdil Sönmeztürk Bolatan

Abstract

İnsansız üretimin yapıldığı, robotik sistemler ile otomasyonun üretimin her aşamasında sağlandığı, yapay zeka, makine öğrenimi, bulut bilişim, nesnelerin interneti, katmanlı imalat, simülasyon, akıllı fabrikalar, büyük veri, bulut bilişim ve artırılmış gerçeklik/sanal gerçeklik gibi bileşenlere sahip olan Endüstri 4.0’ın başlaması ile üretimin ana faktörlerinden biri olan kalitenin bu bileşenlerden etkilenmeden klasik kalite anlayışı ile kalması beklenemeyecek bir durumdur. Kalite doğrudan üretim ile ilgili olan bir unsurdur ve kullanıma uygunluk derecesidir. Endüstri 4.0’ın getirdiği teknolojik gelişmeler ile artık kalitenin daha düşük maliyet ile ve müşteri beklentilerinin de ötesinde bir mükemmeliyetle sağlanması beklenmektedir. Bu çalışmada Endüstri 4.0 bileşenlerinin kalite performans faktörlerine etkisi incelenerek Kalite 4.0 kavramı açıklanacaktır.

Keywords

Kalite, Endüstri 4.0, Kalite 4.0, insansız üretim, artırılmış gerçeklik.

Quality 4.0

Abstract

Industry 4.0 includes unmanned production, robotic systems and automation at every stage of production, including artificial intelligence, machine learning, cloud computing, internet of objects, layered manufacturing, simulation, smart factories, big data, cloud computing and augmented reality / virtual reality. Quality is one of the main factors of production. Therefore quality is affected by these components of Industry 4.0. So quality can not be expected to remain with classical quality understanding. Quality is directly related to production and the degree of suitability for use. With the technological advances brought by Industry 4.0, quality is expected to be achieved with lower cost and perfection beyond customer expectations. In this study, the effect of Industry 4.0 components on quality performance factors will be examined and the concept of quality 4.0 will be explained.

Keywords

Quality, Industry 4.0, Quality 4.0, unmanned production, augmented reality.

References

• Acatech, (2015). Final report of the Industrie 4.0 Working Group. Technical port.http://www.gtai.de/GTAI/Content/EN/Invest/_SharedD ocs/Downloads/GTAI/Brochures/Industries/industrie4.0- smart-manufacturing-for-the-future-en.pdf Re
• Ahire S.L., Golhar D.Y., Waller M.W., (1996). Development and vali- dation of TQM implementation constructs. Decision Sciences, 27(1):23–56.
• Alcácer V. ve Machado, V.C., (2019). Scanning the Industry 4.0: A Lite- rature Review on Technologies for Manufacturing Systems, Engi- neering Science and Technology,an International Journal, 22, 899- 919.
• Banger, G. (2016). Endüstri 4.0 Ekstra. Ankara: Dorlion Yayınları
• Bilgili, D., (2017).A Data Physicalization Pipeline Enhanced with Augmented Reality, Sabancı Üniversitesi, Fen Bilimleri Enstitüsü, Yüksek Lisans Tezi.
• Choudhary, S., Arbat, H., Patkar, U., (2016). An Innovative Study on Artificial Intelligence and Robotics, International Journal of Inno- vative Research in Computer and Communication Engineering, Vol. 4, Issue 3.
• Cremer, D.D., Nguyen, B. ve Simkin, L., (2017). The Integrity Challen- ge of the Internet-of-Things (IoT): On Understanding its Dark Si- de, Journal of Marketing Management 33(1-2):145-158
• Demirtaş, B. Ve Argan, M. (2015), “Büyük Veri ve Pazarlamadaki Dö- nüşüm: Kurumsal Bir Yaklaşım”, Pazarlama ve Pazarlama Araş- tırmaları Dergisi, Sayı: 15, 1-21.
• Emel, G. G. Ve Taşkın, Ç., (2002). Genetik Algoritmalar ve Uygulama Alanları, Uludağ Üniversitesi, Iktisadi ve Idari Bilimler Fakültesi Dergisi, no. 1, s. 129-152.
• Fırat, S. Ü., ve Fırat, O. Z., (2017). Sanayi 4.0 Devrimi Üzerine Karşılaş- tırmalı Bir İnceleme: Kavramlar, Küresel Gelişmeler ve Türkiye. Toprak İşveren Dergisi, (114), 10-23.
• Frost A. ve Sullivan (2017). Cyber Security in the Era of Industrial IoT. Frost & Sullivan White Paper, Germany.
• Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M. (2013). Internet of Things (IoT): a vision, architectural elements, and future directi- ons. Future gener comput syst 29(7):1645–1660.
• Gümüşoğlu Ş., (2019). Bilimsel Yaklaşımlarla Değişim, Dönüşüm ve Kalite 4.0, Dokuz Eylül Üniversitesi İktisadi ve İdari Bilimler Fa- kültesi Dergisi Cilt:33, Sayı:2, ss.543-568.
• Hermann M, Pentek T, Otto B (2015) Design principles for Industrie 4.0 scenarios: a literature review, Technische Universität Dortmund, Fakultät Maschinenbau, Audi Stiftungslehrstuhl Supply Net Or- der Management, Working Paper.
• Holland, J. H, (1992). Genetic algorithms, Scientific American.
• Kagermann, H., Wahlster, W. ve Helbig, J. (2013). Umsetzungsempfeh- lungen für das Zukunftsprojekt Industry 4.0. Abschlussbericht des Arbeitskreises Industry 4.0. Deutschlands Zukunft als Pro- duktionsstandort sichern. In: Promotorengruppe Kommunikation der Forschungsunion Wirtschaft – Wissenschaft. Berlin
• Kaynak, H., 2003. The relationship between total quality manage- mentpractices and their effects on firm performance, Journal of Operations Management. 21, 405–435.
• Korkmaz, B. (2014). 3B Yazıcı: Atlantik ve Avrasya Rekabetinde Yeni Bir Faktör. U.Ü. Sosyal Bilimler Enstitüsü Dergisi, 7(2), 17-30.
• Lucke, D., Constantinescu, C., & Westkämper, E. (2008). Smart factory- a step towards the next generation of manufacturing. In Manufac- turing systems and technologies for the new frontier (pp.115-118). Springer: London.
• Özsoylu, A.F., (2017). Endüstri 4.0, Çukurova Üniversitesi İİBF Dergi- si, 21(1), 41-64.
• Monostori, L., kádár, B., bauernhansl, T., Kondoh, S., Kumara, S., Re- inhart, G., . Sauer, Schuh, G., Sihn, W., Ueda, K., (2016). Cyber- Physical Systems İn Manufacturing. CIRP Annals, 65(2): 621-641.
• Qin, J., Liu, Y., & Grosvenor, R. (2016). A Categorical Framework of Manufacturing for Industry 4.0 and beyond. Procedia CIRP 52 ( 2016 ) 173 – 178.
• Schlechtendahl J., Armin, F.K., ve Verl L., A., (2014). Communication Mechanisms for Cloud based Machine Controls, Procedia CIRP, Vol. 17, 830-834.
• Tofail, S.A.M., Koumoulos, E.P., Bandyopadhyay, A., Bose, S., O’Donoghue, L., Charitidis, C., (2018). Additive manufacturing: scientific and technological challenges, market update and oppor- tunities, MaterialsToday, 21 (1), 22–37
• Wang, L, Törngren, M, Onori M., (2015). Current status and advance- ment of cyber-physical systems in manufacturing. J Manuf Syst 37(2):517–527
• Wang L, Wang G (2016) Big data in cyber-physical systems, digital manufacturing and Industry 4.0. Int J Eng Manufact 4: 1-8.