YENİ SANAYİ DEVRİMİ ENDÜSTRİ 4.0 ÜZERİNE BİR İNCELEME

Yıl 2018, Sayı: 1, 41 - 66, 31.01.2018

Nurten Sinem Pamuk Mehmet Soysal

Öz

Bu araştırmada, Dördüncü Sanayi Devrimi olarak ifade
edilen Endüstri 4.0 kavramı üzerinde durulmuştur. Endüstriyel devrimlerin
tarihsel akışı göz önünde bulundurularak Endüstri 4.0 kavramı tartışılmış ve
söz konusu Dördüncü Sanayi Devrimi’nin başarıya ulaşmasında önemli kaynak
olarak kullanılan nesnelerin interneti, siber-fiziksel sistem, büyük veri, veri
analitiği ve akıllı fabrikalar hakkında kısaca bilgiler verilmiştir. Sonrasında,
üretim dünyasında ve gündelik hayatta Endüstri 4.0 uygulamalarına
değinilmiştir. Ayrıca, Endüstri 4.0
konusunda literatürün mevcut durumunu anlamak
üzere bir literatür taraması yapılmıştır. Araştırma sonuçları, hem iş
dünyasının hem de ilgili literatürün Endüstri 4.0 kavramına olan ilgisinin giderek arttığını göstermektedir. Ancak, literatür
taraması sonuçları, işletme bilim dalı ile ilgili dergilerin bu konuya yeteri
kadar ilgi göstermediğini ortaya koymaktadır. Araştırmacıların makalelerinde
belirtmiş oldukları adresler üzerinden yapılan değerlendirmeye göre, Endüstri
4.0 kavramını dünyaya tanıtan Almanya bu konuda yayımlanan makalelerde de önde gelmektedir
ve yine bu değerlendirmeye göre ülkemizden herhangi bir çalışmaya rastlanmamıştır.

Anahtar Kelimeler

Üretim Yönetimi, Sanayi Devrimi, Endüstri 4.0

Kaynakça

• ALEXOPOULOS, K., MAKRIS, S., XANTHAKIS, V., SIPSAS, K., & CHRYSSOLOURIS, G., (2016), A concept for context-aware computing in manufacturing: The white goods case, International Journal of Computer Integrated Manufacturing, Cilt: 29, Sayı: 8, s. 839-849.
• ALIZON, F., SHOOTER, S. B., & SIMPSON, T. W., (2009), Henry Ford and the Model T: Lessons for product platforming and mass customization, Design Studies, Cilt: 30, Sayı: 5, s. 588-605.
• BANGEMANN, T., RIEDL, M., THRON, M., & DIEDRICH, C., (2016), Integration of classical components into industrial cyber–physical systems, Proceedings of the IEEE, Cilt: 104, Sayı: 5, s. 947-959.
• 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, Cilt: 8, Sayı: 1, s. 37-44.
• CAI, H., ZHANG, Y., YAN, H., SHEN, F., ZHOU, K., & ZHANG, C., (2016), A Delay-Aware Wireless Sensor Network Routing Protocol for Industrial Applications, Mobile Networks and Applications, Cilt: 21, Sayı: 5, s. 879-889.
• CHEN, D., DING, J., GAO, M., MA, D., & LIU, D., (2016), Form gene clustering method about pan-ethnic-group products based on emotional semantic, Chinese Journal of Mechanical Engineering, Cilt: 29, Sayı: 6, s. 1134-1144.
• CHIEN, C. F., CHOU, C. W., & YU, H. C., (2016), A Novel Route Selection and Resource Allocation Approach to Improve the Efficiency of Manual Material Handling System in 200-mm Wafer Fabs for Industry 3.5, IEEE Transactions on Automation Science and Engineering, Cilt: 13, Sayı: 4, s. 1567-1580.
• CHUNG, M. & KIM, J., (2016), The Internet Information and Technology Research Directions based on the Fourth Industrial Revolution, Ksii Transactions on Internet and Information Systems Cilt: 10, Sayı: 3, s. 1311-1320.
• COLEMAN, D. C., (1956), Industrial growth and industrial revolutions, Economica, Cilt: 23, Sayı: 89, s. 1-22. CONDRY, M. W. & NELSON, C. B., (2016), Using Smart Edge IoT Devices for Safer, Rapid Response With Industry IoT Control Operations, Proceedings of the Ieee, Cilt: 104, Sayı: 5, s. 938-946.
• DIEDRICH, C. & RIEDL, M., (2016), Engineering and integration of automation devices in I40 systems, At-Automatisierungstechnik, Cilt: 64, Sayı: 1, s. 41-50.
• DRATH, R., & HORCH, A., (2014), Industrie 4.0: Hit or hype?, IEEE industrial electronics magazine, Cilt: 8, Sayı: 2, s. 56-58.
• EGE BÖLGESİ SANAYİ ODASI RAPORU, (2015), Sanayi 4.0, http://www.ebso.org.tr/ebsomedia/documents/sanayi-40_81017283.pdf, Erişim Tarihi: 02.01.2017.
• FANG, F., (2016), Atomic and close-to-atomic scale manufacturing - A trend in manufacturing development, Frontiers of Mechanical Engineering, Cilt: 11, Sayı: 4, s. 325-327.
• FLATSCHER, M. & RIEL, A., (2016), Stakeholder integration for the successful product-process co-design for next-generation manufacturing technologies, Cirp Annals-Manufacturing Technology, Cilt: 65, Sayı: 1, s. 181-184.
• FUJISHIMA, M., OHNO, K., NISHIKAWA, S., NISHIMURA, K., SAKAMOTO, M., & KAWAI, K., (2016), Study of sensing technologies for machine tools, CIRP Journal of Manufacturing Science and Technology, Cilt: 14, s. 71-75.
• GEORGAKOPOULOS, D., JAYARAMAN, P. P., FAZIA, M., VILLARI, M., & RANJAN, R., (2016), Internet of Things and Edge Cloud Computing Roadmap for Manufacturing, IEEE Cloud Computing, Cilt: 3, Sayı: 4, s. 66-73.
• GERLITZ, L., (2016), Design management as a domain of smart and sustainable enterprise: Business modelling for innovation and smart growth in industry 4.0, Entrepreneurship and Sustainability Issues, Cilt: 3, Sayı: 3, s. 244-268.
• GILCHRIST, A., (2016), Introducing Industry 4.0, In Industry 4.0 (pp. 195-215). Apress. GUBBI, J., BUYYA, R., MARUSIC, S., & PALANISWAMI, M., (2013), Internet of Things (IoT): A vision, architectural elements, and future directions, Future generation computer systems, Cilt: 29, Sayı: 7, s. 1645-1660.
• HARRISON, R., VERA, D., & AHMAD, B., (2016), Engineering methods and tools for cyber–physical automation systems, Proceedings of the IEEE, Cilt: 104, Sayı: 5, s. 973-985.
• HARRISON, R., VERA, D., & AHMAD, B., (2016), Engineering the smart factory, Chinese Journal of Mechanical Engineering, Cilt: 29, Sayı: 6, s. 1046-1051.
• HIRSCH-KREINSEN, H., (2016), Digitization of industrial work: Development paths and prospects, Journal for Labour Market Research, Cilt: 49, Sayı: 1, s. 1-14.
• IVANOV, D., DOLGUI, A., SOKOLOV, B., WERNER, F., & IVANOVA, M., (2016), A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory Industry 4.0, International Journal of Production Research, Cilt: 54, Sayı: 2, s. 386-402.
• JÄNİCKE, M., & JACOB, K., (2009), A Third Industrial Revolution? Solutions to the crisis of resource-intensive growth.
• JENG, T. M., TZENG, S. C., TSENG, C. W., XU, G. W., & LIU, Y. C., (2016), The design and fabrication of a temperature diagnosis system for the intelligent rotating spindle of industry 4.0, Smart Science, Cilt: 4, Sayı: 1, s. 38-43.
• JI, C., SHAO, Q., SUN, J., LIU, S., PAN, L., WU, L., & YANG, C., (2016), Device Data Ingestion for Industrial Big Data Platforms with a Case Study, Sensors, Cilt: 16, Sayı: 3, s. 279.
• KERN, H., STEFAN, F., & DIMITRIESKI, V., (2015), Intelligent and self-adapting integration between machines and information systems, IADIS International Journal on Computer Science & Information Systems, Cilt: 10, Sayı: 1, s. 47-63.
• KLEINEIDAM, G., KRASSER, M., & REISCHBÖCK, M., (2016), The cellular approach: Smart energy region Wunsiedel, Testbed for smart grid, smart metering and smart home solutions, Electrical Engineering, Cilt: 98, Sayı: 4, s. 335-340.
• KOBARA, K., (2016), Cyber Physical Security for Industrial Control Systems and IoT, Ieice Transactions on Information and Systems, Cilt: 99, Sayı: 4, s. 787-795.
• KOHLERT, M. & KONIG, A., (2016), Advanced multi-sensory process data analysis and on-line evaluation by innovative human-machine-based process monitoring and control for yield optimization in polymer film industry, Tm-Technisches Messen, Cilt: 83, Sayı: 9, s. 474-483.
• KONIG, A. & K. THONGPULL, (2015), Lab-on-Spoon - a 3-D integrated hand-held multi-sensor system for low-cost food quality, safety, and processing monitoring in assisted-living systems, Journal of Sensors and Sensor Systems, Cilt: 4, Sayı: 1, s. 63-75.
• LIN, F., CHEN, C., ZHANG, N., GUAN, X., & SHEN, X., (2016), Autonomous channel switching: Towards efficient spectrum sharing for industrial wireless sensor networks, IEEE Internet of Things Journal, Cilt: 3, Sayı: 2, s. 231-243.
• LIU, A. & LU, S. C. Y., (2016), A crowdsourcing design framework for concept generation, Cirp Annals-Manufacturing Technology, Cilt: 65, Sayı: 1, s. 177-180.
• MACDOUGALL, W., (2014), Industrie 4.0: Smart manufacturing for the future, Technical report of Germany Trade and Invest. https://www.gtai.de/GTAI/Content/EN/Invest/_SharedDocs/Downloads/GTAI/Brochures/Industries/industrie4.0-smart-manufacturing-for-the-future-en.pdf, Erişim Tarihi: 05.01.2017.
• MONOSTORI, L., KÁDÁR, B., BAUERNHANSL, T., KONDOH, S., KUMARA, S., REINHART, G., ... & UEDA, K., (2016), Cyber-physical systems in manufacturing, CIRP Annals-Manufacturing Technology, Cilt: 65, Sayı: 2, s. 621-641.
• MOSTERMAN, P. J. & ZANDER, J., (2016), Industry 4.0 as a Cyber-Physical System study, Software and Systems Modeling, Cilt: 15, Sayı: 1, s. 17-29.
• NARENDRA, N. C., NORTA, A., MAHUNNAH, M., MA, L., & MAGGI, F. M., (2016), Sound conflict management and resolution for virtual-enterprise collaborations, Service Oriented Computing and Applications, Cilt: 10, Sayı: 3, s. 233-251.
• OESTERREICH, T. D. & TEUTEBERG, F., (2016), Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry, Computers in Industry, Cilt: 83, s. 121-139.
• OSES, N., LEGARRETAETXEBARRIA, A., QUARTULLI, M., GARCIA, I., & SERRANO, M., (2016), Uncertainty reduction in measuring and verification of energy savings by statistical learning in manufacturing environments, International Journal on Interactive Design and Manufacturing (IJIDeM), Cilt: 10, Sayı: 3, s. 291-299.
• PFEIFFER, S., (2016), Robots, Industry 4.0 and Humans, or Why Assembly Work Is More than Routine Work, Societies, Cilt: 6, Sayı: 2, s. 26.
• PFEIFFER, T., HELLMERS, J., SCHÖN, E. M., & THOMASCHEWSKI, J., (2016), Empowering User Interfaces for Industrie 4.0, Proceedings of the IEEE, Cilt: 104, Sayı: 5, s. 986-996.
• PFISTERER, D., RADONJIC-SIMIC, M., & REICHWALD, J., (2016), Business model design and architecture for the internet of everything, Journal of Sensor and Actuator Networks, Cilt: 5, Sayı: 2, s. 1-7.
• PRAUSE, G., (2016), E-Residency: A business platform for industry 4.0?, Entrepreneurship and Sustainability Issues, Cilt: 3, Sayı: 3, s. 216-227.
• REDCLIFT, M., (2005), Sustainable development (1987–2005): An oxymoron comes of age, Sustainable development, Cilt: 13, Sayı: 4, s. 212-227.
• ROBLEK, V., MEŠKO, M., & KRAPEŽ, A., (2016), A Complex View of Industry 4.0, SAGE Open, Cilt: 6, Sayı: 2, s. 1-11.
• ROY, R., STARK, R., TRACHT, K., TAKATA, S., & MORI, M., (2016), Continuous maintenance and the future–Foundations and technological challenges, CIRP Annals-Manufacturing Technology, Cilt: 65, Sayı: 2, s. 667-688.
• 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, s. 1-14.
• SANDERS, A., ELANGESWARAN, C., & WULFSBERG, J., (2016), Industry 4.0 implies lean manufacturing: Research activities in industry 4.0 function as enablers for lean manufacturing, Journal of Industrial Engineering and Management, Cilt: 9, Sayı: 3, s. 811-833.
• SCHLEIPEN, M., LÜDER, A., SAUER, O., FLATT, H., & JASPERNEITE, J., (2015), Requirements and concept for Plug-and-Work, at-Automatisierungstechnik, Cilt: 63, Sayı: 10, s. 801-820.
• SCHLEIPEN, M., OKON, M., HENßEN, R., HÖVELMEYER, T., WAGNER, A., WOLFF, G., ... & ASI, D., (2015), Monitoring and control of flexible transport equipment, at-Automatisierungstechnik, Cilt: 63, Sayı: 12, s. 977-991.
• SCHUH, G., POTENTE, T., VARANDANI, R., & SCHMITZ, T., (2014), Global Footprint Design based on genetic algorithms–An “Industry 4.0” perspective, CIRP Annals-Manufacturing Technology, Cilt: 63, Sayı: 1, s. 433-436.
• SEPULCRE, M., GOZALVEZ, J., & COLL-PERALES, B., (2016), Multipath QoS-driven routing protocol for industrial wireless networks, Journal of Network and Computer Applications, Cilt: 74, s. 121-132.
• SHAFIQ, S. I., SANIN, C., SZCZERBICKI, E., & TORO, C., (2016), Virtual engineering factory: Creating experience base for industry 4.0, Cybernetics and Systems, Cilt: 47, Sayı: (1-2), s. 32-47.
• SHAFIQ, S. I., SANIN, C., TORO, C., & SZCZERBICKI, E., (2015), Virtual engineering object (VEO): Toward experience-based design and manufacturing for Industry 4.0, Cybernetics and Systems, Cilt: 46, Sayı: (1-2), s. 35-50.
• SHROUF, F., ORDIERES, J., & MIRAGLIOTTA, G., (2014, December), Smart factories in industry 4.0: A review of the concept and of energy management approached in production based on the Internet of things paradigm, In 2014 IEEE International Conference on Industrial Engineering and Engineering Management (pp. 697-701), IEEE.
• SIDDIQUI, M. S., LEGARREA, A., ESCALONA, E., PARKER, M. C., KOCZIAN, G., WALKER, S. D., ... & ULBRICHT, M., (2016), Hierarchical, virtualised and distributed intelligence 5G architecture for low‐latency and secure applications, Transactions on Emerging Telecommunications Technologies, Cilt: 27, Sayı: 9, s. 1233-1241.
• SIEMENS RAPORU, (2016), Endüstri 4.0 Yolunda, http://cdn.endustri40.com/file/ab05aaa7695b45c5a6477b6fc06f3645/End%C3%BCstri_4.0_Yolunda.pdf Erişim Tarihi: 02.01.2017.
• SOMMER, L., (2015), Industrial Revolution - Industry 4.0: Are German Manufacturing SMEs the First Victims of this Revolution?, Journal of Industrial Engineering and Management-Jiem, Cilt: 8, Sayı: 5, s 1512-1532.
• TAO, Q., KANG, J., SUN, W., LI, Z., & HUO, X., (2016), Digital evaluation of sitting posture comfort in human-vehicle system under industry 4.0 framework, Chinese Journal of Mechanical Engineering, Cilt: 29, Sayı: 6, s. 1096-1103.
• THONGPULL, K., GROBEN, D., & KÖNIG, A., (2015), A design automation approach for task-specific intelligent multi-sensory systems–Lab-on-spoon in food applications, tm-Technisches Messen, Cilt: 82, Sayı: 4, s. 196-208.
• THRAMBOULIDIS, K. & CHRISTOULAKIS, F., (2016), UML4IoT-A UML-based approach to exploit IoT in cyber-physical manufacturing systems, Computers in Industry, Cilt: 82, s. 259-272.
• TUOMINEN, V., (2016), The measurement-aided welding cell-giving sight to the blind, International Journal of Advanced Manufacturing Technology, Cilt: 86, Sayı: (1-4), s. 371-386.
• TÜSİAD RAPORU, (2016), Türkiye’nin küresel rekabetçiliği için bir gereklilik olarak sanayi 4.0: Gelişmekte olan ekonomi perspektifi, http://bilgicagi.com/wp-content/uploads/2016/03/sanayi-40.pdf Erişim Tarihi: 02.01.2017.
• VEZA, I., MLADINEO, M., & GJELDUM, N., (2016), Selection of the basic Lean tools for development of Croatian model of Innovative Smart Enterprise, Tehnički vjesnik, Cilt: 23, Sayı: 5, s.1317-1324.
• WAN, J., TANG, S., SHU, Z., LI, D., WANG, S., IMRAN, M., & VASILAKOS, A. V., (2016), Software-defined industrial Internet of Things in the context of Industry 4.0, IEEE Sensors Journal, Cilt: 16, Sayı: 20, s. 7373-7380. WANG, S., WAN, J., ZHANG, D., LI, D., & ZHANG, C., (2016), Towards smart factory for Industry 4.0: A self-organized multi-agent system with big data based feedback and coordination, Computer Networks, Cilt: 101, s. 158-168.
• WEINBERGER, M., BILGERI, D., & FLEISCH, E., (2016), IoT business models in an industrial context, at-Automatisierungstechnik, Cilt: 64, Sayı: 9, s. 699-706.
• WEISS, A., HUBER, A., MINICHBERGER, J., & IKEDA, M., (2016), First Application of Robot Teaching in an Existing Industry 4.0 Environment: Does It Really Work?, Societies, Cilt: 6, Sayı: 3, s. 1-20.
• YIN, S. & KAYNAK, O., (2015), Big Data for Modern Industry: Challenges and Trends, Proceedings of the IEEE, Cilt: 103, Sayı: 2, s. 143-146.
• YUE, X., CAI, H., YAN, H., ZOU, C., & ZHOU, K., (2015), Cloud-assisted industrial cyber-physical systems: An insight, Microprocessors and Microsystems, Cilt: 39, Sayı: 8, s. 1262-1270.
• ZHAN, Z. H., LIU, X. F., GONG, Y. J., ZHANG, J., CHUNG, H. S. H., & LI, Y., (2015), Cloud computing resource scheduling and a survey of its evolutionary approaches, ACM Computing Surveys (CSUR), Cilt: 47, Sayı: 4, s. 1-33.