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Endüstri 4.0 Teknolojilerinin ve Endüstri 4.0’ın Üretim ve Tedarik Zinciri Kapsamındaki Etkileri: Teorik Bir Çerçeve

Yıl 2021, Cilt: 6 Sayı: 1, 248 - 264, 29.06.2021

Öz

Üretim organizasyonlarının geleceği, değer zincirlerinin birbirine bağlı olduğu ve üretim sistemlerinin giderek daha akıllı, özerk ve otomatik hale geldiği daha dijitalleştirilmiş bir ortamın geliştirilmesi ile küresel olarak dönüştürülmektedir. Endüstri 4.0, modern imalat dünyasında siber-fiziksel sistemlerin yaygın kullanımı ile karakterize edilen dördüncü endüstriyel devrimi ifade etmek için kullanılan terimdir. Bilgi ve iletişim teknolojisinin olağanüstü değişimi, ağırlıklı olarak fiziksel aktivitelere dayalı geleneksel iş modelleri bozmakta ve dijitalleşmeye doğru kaydırmaktadır. Dijital bozulma yalnızca iş modellerini ve tedarik zincirlerini etkilemekle kalmaz; aynı zamanda işletmeler ve insanlarla yeni ilişkiler ve etkileşimler de dahil olmak üzere toplumun tüm kesimlerini önemli ölçüde etkiler. Endüstri 4.0, gerçek zamanlı veri toplamak ve analiz etmek için dijital teknolojilerin benimsenmesine dayanır ve birlikte çalışabilirlik, bilgi şeffaflığı, teknik yardım ve merkezi olmayan karar verme özelliklerini içerir. Bu çalışma nesnelerin interneti, bulut, siber-fiziksel sistemler, arttırılmış gerçeklik, 3D baskı, büyük veri, otonom robotlar gibi temel Endüstri 4.0 teknolojilerinin üretim ve tedarik zinciri kapsamındaki etkilerine odaklanırken, Endüstri 4.0’ın bu bağlamda etkileri hakkında da geniş bir teorik çerçeve oluşturmayı hedeflemektedir.


Kaynakça

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The Effects of Industry 4.0 Technologies and Industry 4.0 within the Scope of Production and Supply Chain: A Theoretical Framework

Yıl 2021, Cilt: 6 Sayı: 1, 248 - 264, 29.06.2021

Öz

The future of manufacturing organizations is transformed globally with the development of a more digitalized environment where value chains are interconnected and production systems become increasingly intelligent and automated. Industry 4.0 is the term used to refer to the fourth industrial revolution, characterized by the widespread use of cyber-physical systems in the modern manufacturing world. The extraordinary change of information and communication technology disrupts traditional business models that rely heavily on physical activities and shifts them towards digitalization. Digital disruption not only affects business models and supply chains; it also significantly affects all segments of society, including new relationships and interactions with businesses and people. Industry 4.0 is based on the adoption of digital technologies to collect and analyze real-time data and includes interoperability, information transparency, technical assistance and decentralized decision making. While this study focuses on the effects of basic Industry 4.0 technologies such as the internet of things, cloud, cyber-physical systems, augmented reality, 3D printing, big data, autonomous robots in the scope of production and supply chain, it aims to create a broad theoretical framework about the effects of Industry 4.0 in this context.


Kaynakça

  • Abdel-Basset, M., Manogaran, G., & Mohamed, M. (2018). Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems. Future Generation Computer Systems, 86, 614-628.
  • Affia, I., Yani, L., & Aamer, A. (2019). Factors affecting IoT adoption in food supply chain management. 9th International Conference on Operations and Supply Chain Management, Vietnam, 1-10.
  • Ardito, L., Petruzzelli, A., Panniello, U., & Garavelli, A. (2019). Towards industry 4.0: Mapping digital technologies for supply chain management-marketing integration. Business Process Management Journal, 25(2), 323-346.
  • Aryal, A., Liao, Y., Nattuthurai, P., & Li, B. (2018). The emerging big data analytics and IoT in supply chain management: A systematic review. Supply chain Management: An International Journal, 25(2).
  • Bag, S., Telukdarie, A., Pretorius, J., & Gupta, S. (2018). Industry 4.0 and supply chain sustainability: Framework and future research directions. Benchmarking: An International Journal, 1-41.
  • Bar, K., Herbert-Hansen, Z. N. L., & Khalid, W. (2018). Considering industry 4.0 aspects in the supply chain for an SME, Production Engineering, 12(6), 747-758. Beamon, B. (1998). Supply chain design and analysis: Models and methods. International Journal of Production Economics, 55 (3), 281-294.
  • Bell, E. (2020). Cognitive automation, business process optimization, and sustainable industrial value creation in artificial intelligence data-driven internet of things systems. Journal of Self-Governance and Management Economics, 8(3), 9-15.
  • Bi, Z., & Cochran, D. (2014). Big data analytics with applications. Journal of Management Analytics, 1(4), 249–265.
  • Bibby, L., & Dehe, B. (2018). Defining and assessing industry 4.0 maturity levels-case of the defence sector. Production Planning & Control, 29(12), 1030-1043.
  • Boyes, H. (2015). Cybersecurity and cyber-resilient supply chains. Technology Innovation Management Review, 5(4).
  • 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.
  • Brun, L., Gereffi, G., & Zhan, J. (2019). The lightness of industry 4.0 lead firms: Implications for global value chains. İçinde: Patrizio Bianchi, Clemente R. Durán & Sandrine Labory (Ed.), Transforming Industrial Policy for the Digital Age. Edward Elgar Publishing.
  • Chen, C. (2019). Value creation by SMEs participating in global value chains under industry 4.0 trend: Case study of textile industry in Taiwan. Journal of Global Information Technology Management, 22(2), 120-145.
  • Cimini, C., Pezzotta, G., Pinto, R., & Cavalieri, S. (2018). Industry 4.0 technologies impacts in the manufacturing and supply chain landscape: An overview. International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, 803, 109-120.
  • Da Silva, V., Kovaleski, J., & Pagani, R. (2018). Technology transfer in the supply chain oriented to industry 4.0: A literature review. Technology Analysis & Strategic Management. doi:10.1080/09537325.2018.1524135, 1-17.
  • Dallasega, P., Rauch, E., & Linder, C. (2018). Industry 4.0 as an enabler of proximity for construction supply chains: A systematic literature review. Computers in Industry, 99, 205-225.
  • Dalmarco, G., Ramalho, F., Barros, A., & Soares, A. (2019). Providing industry 4.0 technologies: The Case of a production technology cluster. The Journal of High Technology Management Research, 30(2), 100355.
  • De Paula Ferreira, W., Armellini, F., & De Santa-Eulalia, L. (2020). Simulation in industry 4.0: A state-of-the-art review. Computers & Industrial Engineering, 149, 106868, 1-17.
  • Druehl, C., Carrillo, J., & Hsuan, J. (2017). Technological innovations: Impacts on supply chains. George Mason University School of Business Research Paper, 18-7.
  • Duong, L., Al-Fadhli, M., Jagtap, S., Bader, F., Martindale, W., Swainson, M., & Paoli, A. (2020). A review of robotics and autonomous systems in the food industry: From the supply chains perspective. Trends in Food Science & Technology, 106, 355-364.
  • Fatorachian, H., & Kazemi, H. (2020). Impact of industry 4.0 on supply chain performance. Production Planning & Control, 1-19.
  • Frank, A., Dalenogare, L., & Ayala, N. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15-26.
  • Ghadge, A., Er Kara, M., Moradlou, H., & Goswami, M. (2020). The impact of industry 4.0 implementation on supply chains. Journal of Manufacturing Technology Management, 31(4), 669-686.
  • Glas, A., & Kleemann, F. (2016). The impact of industry 4.0 on procurement and supply management: A conceptual and qualitative analysis, International Journal of Business and Management Invention, 5(6), 55-66.
  • Gunal, M. (2019). Simulation for the better: The future in industry 4.0. İçinde: Murat M. Gunal (Ed.), Simulation for Industry 4.0, 275–283.
  • Gupta, N., Tiwari, A., Bukkapatnam, S., & Karri, R. (2020). Additive manufacturing cyber-physical system: Supply chain cybersecurity and risks. IEEE Access, 8, 47322-47333.
  • Gupta, S., Modgil, S., Gunasekaran, A., & Bag, S. (2020). Dynamic capabilities and institutional theories for industry 4.0 and digital supply chain. Supply Chain Forum: An International Journal, 1-19.
  • Hahn, G. (2020). Industry 4.0: A supply chain innovation perspective. International Journal of Production Research, 58(5), 1425-1441.
  • Hao, Y., & Helo, P. (2017). The role of wearable devices in meeting the needs of cloud manufacturing: A case study. Robotics and Computer-Integrated Manufacturing, 45, 168-179.
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  • Manavalan, E., & Jayakrishna, K. (2018). A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements. Computers & Industrial Engineering. doi:https://doi.org/10.1016/j.cie.2018.11.030, 1-108.
  • Mari, S., Lee, Y., & Memon, M. (2015). complex network theory-based approach for designing resilient supply chain networks. International Journal of Logistics Systems and Management, 21(3), 365-384.
  • Masood, T., & Sonntag, P. (2020). Industry 4.0: Adoption challenges and benefits for SMEs. Computers in Industry, 121, 103261.
  • McAfee, A., Brynjolfsson, E., Davenport, T., Patil, D., & Barton, D. (2012). Big data: The management revolution, Harvard Business Review, 90(10), 60-68.
  • Mentzer, J., DeWitt, W., Keebler, J., Min, S., Nix, N., Smith, C., & Zacharia, Z. (2001). Defining supply chain management, Journal of Business Logistics, 22(2), 1-25.
  • Mishra, D., Gunasekaran, A., & Papadopoulos, T. (2018). Big data and supply chain management: A review and bibliometric analysis. Annals of Operations Research, 270(1-2), 313-336.
  • Mohamed, M. (2018). Challenges and benefits of industry 4.0: An overview. International Journal of Supply and Operations Management, 5(3), 256-265.
  • Mourtzis, D., Vasilakopoulos, A., Zervas, E., & Boli , N. (2019). Manufacturing system design using simulation in metal industry towards education 4.0. Procedia Manufacturing, 31, 155-161.
  • Müller, J., & Voigt, K. (2018). Sustainable industrial value creation in SMEs: A comparison between industry 4.0 and made in China 2025. International Journal of Precision Engineering and Manufacturing-Green Technology, 5(5), 659-670.
  • Naslund, D., & Williamson, S. (2010). What is management in supply chain management? A critical review of definitions, frameworks and terminology. Journal of Management Policy and Practice, 11(4), 11-28.
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  • Panichayakorn, T., & Jermsittiparsert, K. (2019). Mobilizing organizational performance through robotic and artificial intelligence awareness in mediating role of supply chain agility. International Journal of Supply Chain Management, 8(5), 757-768.
  • Pereira, A., & Romero, F. (2017). A review of the meanings and the implications of the industry 4.0 concept. Procedia Manufacturing, 13, 1206–1214.
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  • Posada, J., Stricker, D., De Amicis, R., Pinto, E., Eisert , P., Döllner , J., & Vallarino , I. (2015). Visual computing as a key enabling technology for industrie 4.0 and industrial internet, IEEE Computer Graphics and Applications, 35(2), 26-40.
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  • Shafiq, S., Sanin, C., Szczerbicki, E., & Toro, C. (2015). Virtual engineering object / virtual engineering process: A specialized form of cyber physical system for industrie 4.0. Procedia Computer Science, 60, 1146 – 1155.
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  • Szozda, N. (2017). Industry 4.0 and its impact on the functioning of supply chains. Logforum, 13.
  • Thames, L., & Schaefer, D. (2017). Industry 4.0: An overview of key benefits, technologies, and challenges. In: Thames L. & Schaefer D. (Ed.), Cybersecurity for Industry 4.0. New York: Springer. https://doi.org/10.1007/978-3-319-50660-9_1, 1-33.
  • Tjahjono, B., Esplugues, C., Ares, E., & Pelaez, G. (2017). What does industry 4.0 mean to supply chain?. Procedia Manufacturing, 13, 1175-1182.
  • Vaidya, S., Ambad, P., & Bhosle, S. (2018). Industry 4.0 – A glimpse. Procedia Manufacturing, 20, 233–238.
  • Viale, L., & Zaurai, D. (2020). Impact of digitalization on procurement: The case of robotic process automation. Supply Chain Forum: An International Journal, 21(3), 185-195.
  • Von Solms, R., & Van Niekerk, J. (2013). From information security to cyber security. Computers and Security, 38, 97-102.
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  • Waller, M., & Fawcett, S. (2013). Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77–84.
  • Witkowski, K. (2017). Internet of things, big data, industry 4.0 – innovative solutions in logistics and supply chains management. Procedia Engineering, 182, 763–769.
  • Zhou, K., Taigang, L., & Lifeng , Z. (2015). Industry 4.0: Towards future industrial opportunities and challenges. 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2147-2152.
Toplam 91 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Derleme Makale
Yazarlar

Yasemin Gedik 0000-0002-1166-3227

Yayımlanma Tarihi 29 Haziran 2021
Yayımlandığı Sayı Yıl 2021 Cilt: 6 Sayı: 1

Kaynak Göster

APA Gedik, Y. (2021). Endüstri 4.0 Teknolojilerinin ve Endüstri 4.0’ın Üretim ve Tedarik Zinciri Kapsamındaki Etkileri: Teorik Bir Çerçeve. JOEEP: Journal of Emerging Economies and Policy, 6(1), 248-264.

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