SWOT analysis for smart factories

İsmail Yoşumaz

doi:10.58308/bemarej.1566866

TR EN

Akıllı fabrikaların SWOT analizi

Öz

Üçüncü sanayi devrimi ile birlikte fabrikalara otomasyon teknolojileri dahil olmuştur. Bu teknoloji sayesinde fabrikalarda sürekli tekrar eden süreçler için otomatikleşme süreci başlamıştır. Bu süreç tek yönlü olup, insan tarafından verilen komutların herhangi bir değişikliğe uğratılmadan fabrikadaki makineler (robotlar, konveyörler ve diğer makineler) tarafından uygulanması şeklinde ifade edilebilir. Dördüncü sanayi devrimi ile makine ve insan iş birliği önem kazanmış ve akıllı fabrika kavramı öne çıkmıştır. Akıllı fabrikaların üstünlükleri olduğu gibi zayıf tarafları, fırsatları olduğu tehditleri de mevcuttur. Bu çalışmanın amacı, akıllı fabrika altyapısının işletmelere sağlayabileceği üstünlük ve fırsatlar ile zayıflık ve tehditlerin SWOT analizi metodu ile incelenmesidir. Bu kapsamda çalışmada nitel analiz tekniklerinden doküman analizi kullanılmıştır. Çalışmanın örneklemi referanslar kısmındaki tüm dökümanlardan oluşmaktadır. Örneklem seçiminde kartopu metodu kullanılmıştır. Çalışmanın neticesinde akıllı fabrika altyapısının işletmelere büyük avantajlar sağladığı görülmüştür. Bununla birlikte siber güvenlik tehditleri ve niteliksiz çalışanların durumlarının işletmeler tarafından önemle üzerinde durulması gereken konular arasında olduğu sonucuna varılmıştır.

Anahtar Kelimeler

Akıllı fabrikalar, teknoloji ve yenilik yönetimi, bilgi yönetimi, dijital dönüşüm

SWOT analysis for smart factories

Öz

The third industrial revolution introduced automation technology to factories. Thanks to this technology, the process of automation of repetitive processes in factories began. This process is unidirectional and can be expressed as the implementation of human commands by the machines (robots, conveyors and other machines) in the factory without any modification. With the Fourth Industrial Revolution, machine and human collaboration has gained importance and the concept of smart factory has come to the fore. Smart factories have both advantages and weaknesses, opportunities and threats. This study aims to examine the advantages and opportunities, weaknesses and threats that the smart factory infrastructure can provide to businesses by using the SWOT analysis method. In this context, document analysis, one of the qualitative analysis techniques, was used in the study. The study sample consists of all documents in the references section. The snowball method was used in sample selection. As a result of the study, it was seen that the smart factory infrastructure provides great advantages to businesses. However, it is concluded that cyber security threats and unqualified employees are among the issues that need to be emphasised by businesses. This study aims to examine the advantages and opportunities, weaknesses and threats that the smart factory infrastructure can provide to businesses by using the swot analysis method. In this context, document analysis, one of the qualitative analysis techniques, was used in the study. The study sample consists of all documents in the references section. The snowball method was used in sample selection. As a result of the study, it was seen that the smart factory infrastructure provides great advantages to businesses. However, it is concluded that cyber security threats and unqualified employees are among the issues that need to be emphasised by businesses.

Anahtar Kelimeler

Smart factories, technology and innovation management, knowledge management, digital transformation

Kaynakça

Abubakar, A. M., Elrehail, H., Alatailat, M. A., & Elçi, A. (2019). Knowledge management, decision-making style and organizational performance. Journal of Innovation and Knowledge, 4(2), 104–114. https://doi.org/10.1016/j.jik.2017.07.003
Akkad, M. Z., & Bányai, T. (2023). Energy consumption optimization of milk-run-based in-plant supply solutions: An industry 4.0 approach. Processes, 11(3). https://doi.org/10.3390/pr11030799
Amazon Web Services. (2023, August 1). What is an API? – Application programming interface explained – AWS. https://aws.amazon.com/what-is/api/
Antony, J., McDermott, O., Sony, M., Toner, A., Bhat, S., Cudney, E. A., & Doulatabadi, M. (2023). Benefits, challenges, critical success factors and motivations of Quality 4.0 – A qualitative global study. Total Quality Management & Business Excellence, 34(7–8), 827–846.
Apilioğulları, L. (2021). Dijital fabrika üretimde dijitalleşme stratejileri (1. bs., Cilt 1). Agora Kitaplığı.
Bagdasarov, Z., Martin, A. A., & Buckley, M. R. (2018). Working with robots: Organisational considerations. Organizational Dynamics, 49(2). https://doi.org/10.1016/j.orgdyn.2018.09.002
Baraković, S., & Baraković Husić, J. (2022). Digital transformation challenges: The cyber security threats of cryptocurrency technology use. In International Conference on Advances in Traffic and Communication Technologies.
Beulen, E., & Bode, R. (2021). An information technology and innovation committee to guide digital transformations. Corporate Board: Role, Duties and Composition, 17(2).
Bhandari, P., Creighton, D., Gong, J., Boyle, C., & Law, K. M. Y. (2023). Evolution of cyber-physical-human water systems: Challenges and gaps. Technological Forecasting and Social Change, 191.
Boschert, S., & Rosen, R. (2016). Digital twin – The simulation aspect. In Mechatronic Futures: Challenges and Solutions for Mechatronic Systems and Their Designers. https://doi.org/10.1007/978-3-319-32156-1_5

Botta, A., Rotbei, S., Zinno, S., & Ventre, G. (2023). Cyber security of robots: A comprehensive survey. Intelligent Systems with Applications, 18. https://doi.org/10.1016/j.iswa.2023.200237
Bremner, R. P., Eisenhardt, K. M., & Hannah, D. P. (2017). Business ecosystems. In Collaborative strategy. Edward Elgar Publishing. https://doi.org/10.4337/9781783479580.00038
Breque, M., De Nul, L., & Petridis, A. (2021). Industry 5.0: Towards a sustainable, human-centric and resilient European industry. https://doi.org/10.2777/308407
Buntak, K., Kovačić, M., & Martinčević, I. (2020). Impact of digital transformation on knowledge management in organization. Advances in Business Related Scientific Research Journal, 11(1), 36–47.
Burke, R., Mussomeli, A., Laaper, S., Hartigan, M., & Sniderman, B. (2017, August 25). The smart factory responsive, adaptive, connected manufacturing. Deloitte. https://www2.deloitte.com/us/en/insights/focus/industry-4-0/smart-factory-connected-manufacturing.html
Chang, C. Y., Tu, C. A., & Huang, W. L. (2021). Developing a recommendation model for the smart factory system. Applied Sciences, 11(18). https://doi.org/10.3390/app11188606
Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2017). Smart factory of industry 4.0: Key technologies, application case, and challenges. IEEE Access, 6, 6505–6519. https://doi.org/10.1109/ACCESS.2017.2783682
Choi, Y. C., & Xirouchakis, P. (2014). A holistic production planning approach in a reconfigurable manufacturing system with energy consumption and environmental effects. International Journal of Computer Integrated Manufacturing, 28(4), 379–394. https://doi.org/10.1080/0951192X.2014.902106
Clim, A. (2019). Cyber security beyond the Industry 4.0 era. A short review on a few technological promises. Informatica Economica, 23(2). https://doi.org/10.12948/issn14531305/23.2.2019.04
Corradini, F., Pettinari, S., Re, B., Rossi, L., & Tiezzi, F. (2023). Executable digital process twins: Towards the enhancement of process-driven systems. Big Data and Cognitive Computing, 7(3). https://doi.org/10.3390/bdcc7030139
Correia, M. A. da S. (2014). Industrie 4.0: Framework, challenges and perspectives problem [Master’s thesis, Hochschule RheinMain, University of Applied Science].
Davies, R. (2015). Industry 4.0. Digitalisation for productivity and growth. European Parliamentary Research Service, 10.
Dilber, C. (2023). Ekonomik büyümenin sektörel belirleyicilerinin iş gücü açısından değerlendirilmesi: Panel veri analizi. Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(3), 1008–1025. https://doi.org/10.18074/ckuiibfd.1310028
Dornhöfer, M., Sack, S., Zenkert, J., & Fathi, M. (2020). Simulation of smart factory processes applying multi-agent-systems—A knowledge management perspective. Journal of Manufacturing and Materials Processing, 4(3), 89. https://doi.org/10.3390/jmmp4030089
Ejsmont, K., Gladysz, B., & Kluczek, A. (2020). Impact of Industry 4.0 on sustainability—Bibliometric literature review. Sustainability. https://doi.org/10.3390/su12145650
Fakhar Manesh, M., Pellegrini, M. M., Marzi, G., & Dabic, M. (2021). Knowledge management in the fourth industrial revolution: Mapping the literature and scoping future avenues. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2019.2963489
Ferber, S. (2013, August 21). Industry 4.0—Technology for the fourth industrial revolution. https://www.zlibrary.to/dl/industry-40-technology-for-the-fourth-industrial-revolution
Flatt, H., Schriegel, S., Jasperneite, J., Trsek, H., & Adamczyk, H. (2016). Analysis of the cyber-security of Industry 4.0 technologies based on RAMI 4.0 and identification of requirements. In IEEE International Conference on Emerging Technologies and Factory Automation. https://doi.org/10.1109/ETFA.2016.7733634
Floyd, E. L., Wang, J., & Regens, J. L. (2017). Fume emissions from a low-cost 3-D printer with various filaments. Journal of Occupational and Environmental Hygiene, 14(7). https://doi.org/10.1080/15459624.2017.1302587
Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020). Digital twin: Enabling technologies, challenges and open research. IEEE Access, 8, 108952–108971. https://doi.org/10.1109/ACCESS.2020.2998358
Glavič, P. (2021). Evolution and current challenges of sustainable consumption and production. Sustainability. https://doi.org/10.3390/su1316937
Görçün, Ö. F. (2018). The rise of smart factories in the fourth industrial revolution and its impacts on the textile industry. International Journal of Materials, Mechanics and Manufacturing, 6(2), 136–141. https://doi.org/10.18178/ijmmm.2018.6.2.363
Grabowska, S. (2020). Smart factories in the age of Industry 4.0. Management Systems in Production Engineering, 28(2), 90–96. https://doi.org/10.2478/mspe-2020-0014
Gramegna, N., Greggio, F., & Bonollo, F. (2020). Smart factory competitiveness based on real time monitoring and quality predictive model applied to multi-stages production lines. In B. Lalic, V. Majstorovic, U. Marjanovic, G. von Cieminski, & D. Romero (Eds.), Advances in Production Management Systems. Towards Smart and Digital Manufacturing (APMS 2020) (IFIP Advances in Information and Communication Technology, 592). https://doi.org/10.1007/978-3-030-57997-5_22
Hajj, R., Peasley, S., Hunt, J., Heather, M., & Beckoff, D. (2020, August 16). Cyber security for smart factories. Deloitte. https://www2.deloitte.com/tw/en/pages/risk/articles/cyber-security-for-smart-factories.html
Hänel, A., Wenkler, E., Schnellhardt, T., Corinth, C., Brosius, A., Fay, A., & Nestler, A. (2019). Development of a method to determine cutting forces based on planning and process data as contribution for the creation of digital process twins. In 15th International Conference on High Speed Machining. http://doi.org/10.17973/MMSJ.2019_11_2019064
Háry, A. (2016). Future possibilities, social challenges and adaptation requirements of industrial progress. Management Review, 47(10), 31–38. http://unipub.lib.uni-corvinus.hu/2494/
Herrmann, F. (2018). The smart factory and its risks. Systems, 6(4). https://doi.org/10.3390/systems6040038
Heynitz, H., Bremicker, M., Amadori, D. M., & Reshke, K. (2016, August 15). The factory of the future: Industry 4.0–The challenges of tomorrow (pp. 1–68). KPMG. https://www.kpmg.com/ID/en/IssuesAndInsights/ArticlesPublications/Documents/factory-future-industry-4.0.pdf
Hossain, L., & Khan, M. S. (2020). Water footprint management for sustainable growth in the Bangladesh apparel sector. Water, 12(10). https://doi.org/10.3390/w12102760
Hozdić, E. (2015). Smart factory for industry 4.0: A review. International Journal of Modern Manufacturing Technologies, 7.
Inamdar, A. (2022, August 1). Digital transformation and its impact on organisational culture. Forbes. https://www.forbes.com/sites/forbeshumanresourcescouncil/2022/07/22/digital-transformation-and-its-impact-on-organizational-culture/?sh=695a669829a2
Jiang, J. J. (2023). From information technology projects to digital transformation programs: Research pathways. Project Management Journal, 54(4), 327–333. https://doi.org/10.1177/87569728231170261
Kalsoom, T., Ramzan, N., Ahmed, S., & Ur-Rehman, M. (2020). Advances in sensor technologies in the era of smart factory and Industry 4.0. Sensors, 20(23). https://doi.org/10.3390/s20236783
Kavallieratos, G., & Katsikas, S. (2020). Managing cyber security risks of the cyber-enabled ship. Journal of Marine Science and Engineering, 8(10). https://doi.org/10.3390/jmse8100768
Kim, J. R., & Lee, J. (2020). Factors affecting technology acceptance of smart factory. Journal of Information Technology Applications and Management, 27(1).
Kuang, C. (2021). Thoughts on information technology’s transformation of financial digital teaching. In Journal of Physics: Conference Series (Vol. 1915). https://doi.org/10.1088/1742-6596/1915/4/042065
Külcü, R. (2015). Ortaçağ Anadolu’sunun büyük mühendisi El-Cezeri / The great engineer of the medieval Anatolia: Al-Jazari. Academia Journal of Engineering and Applied Sciences, 1, 1–9.
Kuznaz, T., Pfohl, H.-C., & Yahsi, B. (2015). The impact of Industry 4.0 on the supply chain. In Innovations and Strategies for Logistics and Supply Chains, 8, 32–58.
Leal-Rodríguez, A. L., Sanchís-Pedregosa, C., Moreno-Moreno, A. M., & Leal-Millán, A. G. (2023). Digitalization beyond technology: Proposing an explanatory and predictive model for digital culture in organizations. Journal of Innovation and Knowledge, 8(3). https://doi.org/10.1016/j.jik.2023.100409
Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23. https://doi.org/10.1016/j.mfglet.2014.12.001
Lee, M. J., & Jung, J. S. (2018). Competitive strategy for paradigm shift in the era of the fourth industrial revolution: Focusing on business model innovation. Indian Journal of Public Health Research & Development, 9(8). https://doi.org/10.5958/0976-5506.2018.00821.5
Lee, R. (2021). The effects of smart factory operational strategies and system management on the innovative performance of small- and medium-sized manufacturing firms. Sustainability, 13(6), 3087. https://doi.org/10.3390/SU13063087
Leem, C. S., & Lee, H. H. (2018). SWOT analysis for small and medium enterprise in smart factory introduction. Journal of the Korea Convergence Society, 9(3).
Li, G., Ren, L., Fu, Y., Yang, Z., Adetola, V., Wen, J., Zhu, Q., Wu, T., Candan, K. S., & O’Neill, Z. (2023). A critical review of cyber-physical security for building automation systems. Annual Reviews in Control, 55(1), 237–254. https://doi.org/10.1016/j.arcontrol.2023.02.004
Ling, S., Guo, D., Zhang, T., Rong, Y., & Huang, G. Q. (2020). Computer vision-enabled human-cyber-physical workstations collaboration for reconfigurable assembly system. In Procedia Manufacturing, 51, 565–570. https://doi.org/10.1016/j.promfg.2020.10.079
Liu, Q., Liu, M., Zhou, H., Yan, F., Ma, Y., & Shen, W. (2022). Intelligent manufacturing system with human-cyber-physical fusion and collaboration for process fine control. Journal of Manufacturing Systems, 64(7), 149–169. https://doi.org/10.1016/j.jmsy.2022.06.004
Mabkhot, M. M., Al-Ahmari, A. M., Salah, B., & Alkhalefah, H. (2018). Requirements of the smart factory system: A survey and perspective. Machines, 6(2), 23. https://doi.org/10.3390/machines6020023
Maly, I., Sedlacek, D., & Leitao, P. (2017). Augmented reality experiments with industrial robot in Industry 4.0 environment. In IEEE International Conference on Industrial Informatics, 176–181. https://doi.org/10.1109/INDIN.2016.7819154
Marzano, G., & Ochoa Siguencia, L. (2021). Industry 4.0: Social challenges and risks. In 13th International Scientific and Practical Conference (Vol. 2), 100–105. https://doi.org/10.17770/etr2021vol2.6546
Matošková, J., Crhová, Z., & Gregar, A. (2023). Why manufacturers need to engage employees when implementing a smart factory: A case report from the Czech Republic. Research-Technology Management, 66(3), 51–65. https://doi.org/10.1080/08956308.2023.2188018
McLaughlin, S. (2020, August 17). Benefits of Industry 4.0 vertical integration – Where OT and IT converge. SL Controls. https://slcontrols.com/benefits-of-industry-4-0-vertical-integration-where-ot-and-it-converge/
Napoleone, A., Macchi, M., & Pozzetti, A. (2020). A review on the characteristics of cyber-physical systems for the future smart factories. Journal of Manufacturing Systems, 54, 305–335. https://doi.org/10.1016/j.jmsy.2020.01.007
Narwane, V. S., Raut, R. D., Gardas, B. B., Narkhede, B. E., & Awasthi, A. (2022). Examining smart manufacturing challenges in the context of micro, small and medium enterprises. International Journal of Computer Integrated Manufacturing, 35(12). https://doi.org/10.1080/0951192X.2022.2078508
Nas, E., Sak, R., Öneren Şendil, Ç., & Şahin-Sak, İ. T. (2021). Bir araştırma yöntemi olarak doküman analizi. Kocaeli Üniversitesi Eğitim Dergisi, 4(1), 227–250. https://doi.org/10.33400/KUJE.843306
Nowacki, R., & Bachnik, K. (2016). Innovations within knowledge management. Journal of Business Research, 69(5), 1577–1581. https://doi.org/10.1016/j.jbusres.2015.10.020
Ode, E., & Ayavoo, R. (2020). The mediating role of knowledge application in the relationship between knowledge management practices and firm innovation. Journal of Innovation and Knowledge, 5(3), 210–218. https://doi.org/10.1016/j.jik.2019.08.002
Ortiz, J. H., Gutierrez Marroquin, W., & Zambrano Cifuentes, L. (2020). Industry 4.0: Current status and future trends. In J. H. Ortiz (Ed.), Industry 4.0: Current status and future trends (1st ed.). IntechOpen.
Osterrieder, P., Budde, L., & Friedli, T. (2020). The smart factory as a key construct of Industry 4.0: A systematic literature review. International Journal of Production Economics, 221. https://doi.org/10.1016/j.ijpe.2019.08.011
Padovano, A., Longo, F., Nicoletti, L., & Mirabelli, G. (2018). A digital twin based service oriented application for a 4.0 knowledge navigation in the smart factory. In IFAC-PapersOnLine, 51, 631–636. https://doi.org/10.1016/j.ifacol.2018.08.389
Parmar, C. M., Gupta, P., Bharadwaj, K. S., & Belur, S. S. (2018). Smart work-assisting gear. In 2018 IEEE World Forum on Internet of Things (WF-IoT). https://doi.org/10.1109/WF-IoT.2018.8355176
Paulsen, C. (2020). The future of IT operational technology supply chains. Computer, 53(1). https://doi.org/10.1109/MC.2019.2951979
Pech, M., Vrchota, J., & Bednář, J. (2021). Predictive maintenance and intelligent sensors in smart factory: Review. Sensors, 21(4), 1470. https://doi.org/10.3390/s21041470
Phuyal, S., Bista, D., & Bista, R. (2020). Challenges, opportunities and future directions of smart manufacturing: A state of art review. Sustainable Futures, 2. https://doi.org/10.1016/J.SFTR.2020.100023
Raffik, R., Vaishali, V., Balavedhaa, S., Jyothi, L. N., & Sathya, R. R. (2023). Industry 5.0: Enhancing human-robot collaboration through collaborative robots – A review. In 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation. https://doi.org/10.1109/ICAECA56562.2023.10201120
Ramaswamy, V., & Ozcan, K. (2016). Brand value co-creation in a digitalized world: An integrative framework and research implications. International Journal of Research in Marketing, 33(1). https://doi.org/10.1016/j.ijresmar.2015.07.001
Resman, M., Turk, M., & Herakovic, N. (2020). Methodology for planning smart factory. In Procedia CIRP, 97, 401–406. https://doi.org/10.1016/j.procir.2020.05.258
Safaei Pour, M., Nader, C., Friday, K., & Bou-Harb, E. (2023). A comprehensive survey of recent internet measurement techniques for cyber security. Computers & Security, 128. https://doi.org/10.1016/j.cose.2023.103123
Sajadieh, S. M. M., Son, Y. H., & Noh, S. D. (2022). A conceptual definition and future directions of urban smart factory for sustainable manufacturing. Sustainability, 14(3), 1221. https://doi.org/10.3390/su14031221
Salvadorinho, J., & Teixeira, L. (2021). Organisational knowledge in the I4.0 using BPMN: A case study. In Procedia Computer Science, 181. https://doi.org/10.1016/j.procs.2021.01.266
Santoro, G., Vrontis, D., Thrassou, A., & Dezi, L. (2018). The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity. Technological Forecasting and Social Change, 136, 347–354. https://doi.org/10.1016/j.techfore.2017.02.034
Schniederjans, D. G., Curado, C., & Khalajhedayati, M. (2020). Supply chain digitisation trends: An integration of knowledge management. International Journal of Production Economics, 220. https://doi.org/10.1016/j.ijpe.2019.07.012
Schröder, C. (2016, August 25). The challenges of Industry 4.0 for small and medium-sized enterprises. https://library.fes.de/pdf-files/wiso/12683.pdf
Shi, Z., Xie, Y., Xue, W., Chen, Y., Fu, L., & Xu, X. (2020). Smart factory in Industry 4.0. Systems Research and Behavioral Science, 37(4), 607–617. https://doi.org/10.1002/sres.2704
Shrouf, F., Ordieres, J., & Miragliotta, G. (2014). 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 IEEE International Conference on Industrial Engineering and Engineering Management, 697–701. https://doi.org/10.1109/IEEM.2014.7058728
Soetanto, R., Childs, M., Poh, P. S. H., Austin, S., Glass, J., Adamu, Z. A., Isiadinso, C., Tolley, H., & MacKenzie, H. (2015). Key success factors and guidance for international collaborative design projects. Archnet-IJAR, 9(3). https://doi.org/10.26687/archnet-ijar.v9i3.703
Soori, M., Arezoo, B., & Dastres, R. (2023). Internet of Things for smart factories in Industry 4.0, a review. Internet of Things and Cyber-Physical Systems, 3, 192–204. https://doi.org/10.1016/j.iotcps.2023.04.006
Stojanov, Z., Dobrilovic, D., Jotanovic, G., Perakovic, D., Jausevac, G., & Brtka, V. (2021). Software architectures in smart manufacturing: Review and experiences (Vol. 2858). CEUR Workshop Proceedings. https://ceur-ws.org/Vol-2858/paper9.pdf
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018). Digital twin-driven product design, manufacturing and service with big data. The International Journal of Advanced Manufacturing Technology, 94, 3563–3576. https://doi.org/10.1007/s00170-017-0233-1
Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., Guo, Z., Lu, S. C. Y., & Nee, A. Y. C. (2019). Digital twin-driven product design framework. International Journal of Production Research, 57(12). https://doi.org/10.1080/00207543.2018.1443229
Taylor, M. P., Boxall, P., Chen, J. J. J., Xu, X., Liew, A., & Adeniji, A. (2020). Operator 4.0 or Maker 1.0? Exploring the implications of Industrie 4.0 for innovation, safety and quality of work in small economies and enterprises. Computers & Industrial Engineering, 139. https://doi.org/10.1016/j.cie.2018.10.047
Thomas, R., & Hardy, C. (2011). Reframing resistance to organizational change. Scandinavian Journal of Management, 27(3). https://doi.org/10.1016/j.scaman.2011.05.004
Tran, D. T., Pham, H. T., & Bui, V. T. (2020). The effect of contextual factors on resistance to change in lean transformation. Journal of Asian Finance, Economics and Business, 7(11). https://doi.org/10.13106/jafeb.2020.vol7.no11.479
Türkiye Newspaper Encyclopedia Group. (2005). Müslüman bilim adamları 1. Türkiye Gazetesi.
Wan, J., Yang, J., Wang, Z., & Hua, Q. (2018). Artificial intelligence for cloud-assisted smart factory. IEEE Access, 6, 55419–55430. https://doi.org/10.1109/ACCESS.2018.2871724
Wang, S., Wan, J., Li, D., & Zhang, C. (2016). Implementing smart factory of Industrie 4.0: An outlook. International Journal of Distributed Sensor Networks, 12(1). https://doi.org/10.1155/2016/3159805
Xiong, Y., Tang, Y., Kim, S., & Rosen, D. W. (2023). Human-machine collaborative additive manufacturing. Journal of Manufacturing Systems, 66, 82–91. https://doi.org/10.1016/j.jmsy.2022.12.004
Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L. (2021). Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of Manufacturing Systems, 61. https://doi.org/10.1016/j.jmsy.2021.10.006
Yogesh, M. (2000). Knowledge management and virtual organisations. USA: Idea Group Inc.
Yoşumaz, İ. (2024). Industrial metaverse as a new component of digital transformation: A bibliometric analysis. Bilişim Teknolojileri Dergisi, 17(4), 251–265. https://doi.org/10.17671/gazibtd.1487061
Yu, Y., Kim, G., & Mathur, K. (2020). A critical review of addictive manufacturing: An innovation of mass customization. Journal of Textile and Apparel, Technology and Management, 11(3), 1–16.
Zhang, X., Xu, Y. Y., & Ma, L. (2023). Information technology investment and digital transformation: The roles of digital transformation strategy and top management. Business Process Management Journal, 29(2). https://doi.org/10.1108/BPMJ-06-2022-0254
Zhong, D., Xia, Z., Zhu, Y., & Duan, J. (2023). Overview of predictive maintenance based on digital twin technology. Heliyon

Ayrıntılar

Birincil Dil

İngilizce

Konular

Üretim ve Endüstri Mühendisliği (Diğer), İş Sistemleri (Diğer)

Bölüm

Araştırma Makalesi

Yazarlar

İsmail Yoşumaz ^*
0000-0002-2287-4994
Türkiye

Yayımlanma Tarihi

29 Aralık 2024

Gönderilme Tarihi

14 Ekim 2024

Kabul Tarihi

29 Aralık 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 7 Sayı: 3

DOI

https://doi.org/10.58308/bemarej.1566866

IZ

https://izlik.org/JA93BB39FH

APA

Yoşumaz, İ. (2024). SWOT analysis for smart factories. Business Economics and Management Research Journal, 7(3), 172-192. https://doi.org/10.58308/bemarej.1566866

AMA

1.Yoşumaz İ. SWOT analysis for smart factories. BEMAREJ. 2024;7(3):172-192. doi:10.58308/bemarej.1566866

Chicago

Yoşumaz, İsmail. 2024. “SWOT analysis for smart factories”. Business Economics and Management Research Journal 7 (3): 172-92. https://doi.org/10.58308/bemarej.1566866.

EndNote

Yoşumaz İ (01 Aralık 2024) SWOT analysis for smart factories. Business Economics and Management Research Journal 7 3 172–192.

IEEE

[1]İ. Yoşumaz, “SWOT analysis for smart factories”, BEMAREJ, c. 7, sy 3, ss. 172–192, Ara. 2024, doi: 10.58308/bemarej.1566866.

ISNAD

Yoşumaz, İsmail. “SWOT analysis for smart factories”. Business Economics and Management Research Journal 7/3 (01 Aralık 2024): 172-192. https://doi.org/10.58308/bemarej.1566866.

JAMA

1.Yoşumaz İ. SWOT analysis for smart factories. BEMAREJ. 2024;7:172–192.

MLA

Yoşumaz, İsmail. “SWOT analysis for smart factories”. Business Economics and Management Research Journal, c. 7, sy 3, Aralık 2024, ss. 172-9, doi:10.58308/bemarej.1566866.

Vancouver

1.İsmail Yoşumaz. SWOT analysis for smart factories. BEMAREJ. 01 Aralık 2024;7(3):172-9. doi:10.58308/bemarej.1566866

Dergimize gönderilecek makalelerin aşağıda linki verilen şablon dosyasına göre hazırlanması gerekmektedir. Şablon dosyasını indirip üzerinde düzeltmeler de yapılabilir. Şablon dosyasına uygun olarak hazırlanmayan makaleler editör tarafından yazara iade edilir.

SWOT analysis for smart factories

Akıllı fabrikaların SWOT analizi

Öz

Anahtar Kelimeler

SWOT analysis for smart factories

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster

Makaleniz Türkçe ise Şablon için tıklayınız...

Makaleniz İngilizce ise Şablon için tıklayınız...