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Industry 5.0 Challenges: Analyzing with Interval-Valued Intuitionistic Fuzzy AHP

Yıl 2025, Cilt: 16 Sayı: 2, 491 - 510, 31.05.2025

Öz

Focusing on employee interoperability with technology, sustainability, and durability pushes traditional production processes to change and highlights Industry 5.0 (I5.0). Nevertheless, there are substantial concerns among businesses regarding the implementation of Industry 5.0, and the literature in this field is relatively recent. This study aims to explore the obstacles in the implementation of I5.0 and hierarchically model these obstacles for manufacturers in the automotive industry. To the best of our knowledge, no research on this subject in the automotive industry is crucial to this study’s originality. In practice, experienced managers with different job descriptions were preferred to achieve unbiased results. Decision makers' evaluations of obstacles were analysed with interval-valued intuitionistic fuzzy AHP. The research results provide various information for manufacturers to understand, manage and take precautions against the obstacles in implementing Industry 5.0. One of the main findings of this study is that the greatest challenges that manufacturers in the automotive industry will face in the process of adapting to Industry 5.0 are investment, integration and transformation speed.

Kaynakça

  • Adel, A. (2022). Future of industry 5.0 in society: human-centric solutions, obstacles and prospective research areas. Journal of Cloud Computing, 11(1), 1-15. https://doi.org/10.1186/s13677-022-00314-5.
  • Akundi, A., Euresti, D., Luna, S., Ankobiah, W., Lopes, A. & Edinbarough, I. (2022). State of Industry 5.0-analysis and identification of current research trends. Appl. Syst. Innov., 5, 27. https://doi.org/10.3390/asi5010027.
  • Alojaiman, B. (2023). Technological modernizations in the Industry 5.0 era: a descriptive analysis and future research directions. Processes, 11(5), 1318. https://doi.org/10.3390/pr11051318.
  • Aslam, F., Aimin, W., Li, M. & Ur Rehman, K. (2020). Innovation in the era of IoT and industry 5.0: absolute innovation management (AIM) framework. Information, 11(2), 124. https://doi.org/10.3390/info11020124.
  • Atanassov, K. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems. https://doi.org/10.1016/S0165-0114(86)80034-3.
  • Ayyildiz, E. (2023). Interval valued intuitionistic fuzzy analytic hierarchy process-based green supply chain resilience evaluation methodology in post COVID-19 era. Environmental Science and Pollution Research, 30(15), 42476-42494.
  • Battini, D., Berti, N., Finco, S., Zennaro, I. & Das, A. (2022). Towards Industry 5.0: A multi objective job rotation model for an inclusive workforce. International Journal of Production Economics, 250, 108619. https://doi.org/10.1016/j.ijpe.2022.108619.
  • Bellman, R. E. & Zadeh, L.A. (1970). Decision-making in a fuzzy environment. Management Science, 17(4), B-141. https://doi.org/10.1287/mnsc.17.4.B141
  • Ben Youssef, A. & Mejri, I. (2023). Linking digital technologies to sustainability through Industry 5.0: A bibliometric analysis. Sustainability, 15(9), 7465. https://doi.org/10.3390/su15097465.
  • Carayannis, E. G., Christodoulou, K., Christodoulou, P., Chatzichristofis, S. A. & Zinonos, Z. (2021). Known unknowns in an era of technological and viral disruptions—implications for theory, policy, and practice. Journal of the Knowledge Economy, 1-24. https://doi.org/10.1007/s13132-020-00719-0.
  • Chauhan, C., Singh, A. & Luthra, S. (2021). Barriers to industry 4.0 adoption and its performance implications: An empirical investigation of emerging economy. Journal of Cleaner Production, 285, 124809. https://doi.org/10.1016/j.jclepro.2020.124809.
  • Cillo, V., Gregori, G. L., Daniele, L. M., Caputo, F. & Bitbol-Saba, N. (2022). Rethinking companies’ culture through knowledge management lens during Industry 5.0 transition. Journal of Knowledge Management, 26(10), 2485-2498. https://doi.org/10.1108/JKM-09-2021-0718.
  • Coronado, E., Kiyokawa, T., Ricardez, G. A. G., Ramirez-Alpizar, I. G., Venture, G. & Yamanobe, N. (2022). Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an Industry 5.0. Journal of Manufacturing Systems, 63, 392-410. https://doi.org/10.1016/j.jmsy.2022.04.007.
  • Demir, K. A., Döven, G. & Sezen, B. (2019). Industry 5.0 and human-robot co-working. Procedia computer Science, 158, 688-695. https://doi.org/10.1016/j.procs.2019.09.104.
  • Di Nardo, M. & Yu, H. (2021). Special issue: Industry 5.0: The prelude to the sixth industrial revolution. Applied System Innovation, 4(3), 45. https://doi.org/10.3390/asi4030045.
  • Dogan, O., Deveci, M., Canıtez, F. & Kahraman, C. (2020). A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method. Soft Computing, 24, 8937-8953. https://doi.org/10.1007/s00500-019-04421-5.
  • Doyle-Kent, M. & Kopacek, P. (2020). Industry 5.0: is the manufacturing industry on the cusp of a new revolution? Proceedings of the International Symposium for Production Research 2019, Springer International Publishing, 432-441. https://doi.org/10.1007/978-3-030-31343-2_38.
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  • Gosselin, F., Kchir, S., Acher, G., Keith, F., Lebec, O., Louison, C. & Ameyugo, G. (2022). Robot companion, an intelligent interactive robot coworker for the Industry 5.0. International Conference on Intelligent Robots and Systems, 8918-8925. IEEE. https://doi.org/10.1109/IROS47612.2022.9982004.
  • Grabowska, S., Saniuk, S. & Gajdzik, B. (2022). Industry 5.0: improving humanization and sustainability of Industry 4.0. Scientometrics, 127(6), 3117-3144. https://doi.org/10.1007/s11192-022-04370-1.
  • Huang, S., ang, B., Li, X., Zheng, P., Mourtzis, D. & Wang, L. (2022). Industry 5.0 and Society 5.0-comparison, complementation and co-evolution. Journal of Manufacturing Systems, 64, 424-428. https://doi.org/10.1016/j.jmsy.2022.07.010.
  • Jabrane, K. & Bousmah, M. (2021). A new approach for training cobots from small amount of data in industry 5.0. International Journal of Advanced Computer Science and Applications, 12(10). https://doi.org/10.14569/IJACSA.2021.0121070.
  • Javaid, M. & Haleem, A. (2020). Critical components of Industry 5.0 towards a successful adoption in the field of manufacturing. Journal of Industrial Integration and Management, 5(3), 327-348. https://doi.org/10.1142/S2424862220500141.
  • Javaid, M., Haleem, A., Singh, R.P., Haq, M.I.U., Raina, A. & Suman, R. (2020). Industry 5.0: potential applications in COVID-19. Journal of Industrial Integration and Management, 5(4), 507-530. https://doi.org/10.1142/S2424862220500220.
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Endüstri 5.0 Zorlukları: Aralık Değerli Sezgisel Bulanık AHP ile Analiz

Yıl 2025, Cilt: 16 Sayı: 2, 491 - 510, 31.05.2025

Öz

Sürdürülebilirliğe, çalışanların teknolojilerle birlikte çalışabilirliğine ve dayanıklılığa odaklanma geleneksel olan üretim süreçlerini değişime itmekte ve Endüstri 5.0 öne çıkmaktadır. Ancak işletmelerin Endüstri 5.0’ı uygulamada büyük endişeleri vardır ve literatür bu konuda oldukça yenidir. Bu çalışma Endüstri 5.0’ın uygulanmasındaki zorlukları keşfetmeyi ve otomotiv sektöründeki üreticiler için bu zorlukları hiyerarşik olarak modellemeyi amaçlıyor. Bilindiği kadarıyla otomotiv sektöründe konu ile ilgili herhangi bir araştırma yapılmamış olması çalışmanın özgünlüğü açısından büyük önem taşımaktadır. Uygulamada, tarafsız sonuçlara ulaşabilmek için farklı iş tanımlarına sahip tecrübeli yöneticiler tercih edilmiştir. Karar vericilerin engellere yönelik değerlendirmeleri aralık değerli sezgisel bulanık AHP ile analiz edilmiştir. Araştırma sonuçları, otomotiv sektöründeki üreticilerin Endüstri 5.0’ı uygulamadaki zorlukları anlayabilmesi, yönetebilmesi ve önlem alabilmesi için çeşitli bilgiler sunmaktadır. Bu çalışmanın temel bulgularından biri, otomotiv sektöründeki üreticilerin Endüstri 5.0’a uyum sağlama sürecinde karşılaşacakları en büyük zorlukların yatırım, entegrasyon ve dönüşüm hızı konularında olduğunu göstermektedir.

Etik Beyan

Çalışma, Kırklareli Üniversitesi Rektörlüğü Bilimsel Araştırmalar ve Yayın Etiği Kurulu'nun 17.11.2023 tarihinde, E-35523585-199-103762 sayılı kararıyla çalışmanın hazırlanabilmesinde etik açıdan sakınca içermediğine karar verilmiştir.

Kaynakça

  • Adel, A. (2022). Future of industry 5.0 in society: human-centric solutions, obstacles and prospective research areas. Journal of Cloud Computing, 11(1), 1-15. https://doi.org/10.1186/s13677-022-00314-5.
  • Akundi, A., Euresti, D., Luna, S., Ankobiah, W., Lopes, A. & Edinbarough, I. (2022). State of Industry 5.0-analysis and identification of current research trends. Appl. Syst. Innov., 5, 27. https://doi.org/10.3390/asi5010027.
  • Alojaiman, B. (2023). Technological modernizations in the Industry 5.0 era: a descriptive analysis and future research directions. Processes, 11(5), 1318. https://doi.org/10.3390/pr11051318.
  • Aslam, F., Aimin, W., Li, M. & Ur Rehman, K. (2020). Innovation in the era of IoT and industry 5.0: absolute innovation management (AIM) framework. Information, 11(2), 124. https://doi.org/10.3390/info11020124.
  • Atanassov, K. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems. https://doi.org/10.1016/S0165-0114(86)80034-3.
  • Ayyildiz, E. (2023). Interval valued intuitionistic fuzzy analytic hierarchy process-based green supply chain resilience evaluation methodology in post COVID-19 era. Environmental Science and Pollution Research, 30(15), 42476-42494.
  • Battini, D., Berti, N., Finco, S., Zennaro, I. & Das, A. (2022). Towards Industry 5.0: A multi objective job rotation model for an inclusive workforce. International Journal of Production Economics, 250, 108619. https://doi.org/10.1016/j.ijpe.2022.108619.
  • Bellman, R. E. & Zadeh, L.A. (1970). Decision-making in a fuzzy environment. Management Science, 17(4), B-141. https://doi.org/10.1287/mnsc.17.4.B141
  • Ben Youssef, A. & Mejri, I. (2023). Linking digital technologies to sustainability through Industry 5.0: A bibliometric analysis. Sustainability, 15(9), 7465. https://doi.org/10.3390/su15097465.
  • Carayannis, E. G., Christodoulou, K., Christodoulou, P., Chatzichristofis, S. A. & Zinonos, Z. (2021). Known unknowns in an era of technological and viral disruptions—implications for theory, policy, and practice. Journal of the Knowledge Economy, 1-24. https://doi.org/10.1007/s13132-020-00719-0.
  • Chauhan, C., Singh, A. & Luthra, S. (2021). Barriers to industry 4.0 adoption and its performance implications: An empirical investigation of emerging economy. Journal of Cleaner Production, 285, 124809. https://doi.org/10.1016/j.jclepro.2020.124809.
  • Cillo, V., Gregori, G. L., Daniele, L. M., Caputo, F. & Bitbol-Saba, N. (2022). Rethinking companies’ culture through knowledge management lens during Industry 5.0 transition. Journal of Knowledge Management, 26(10), 2485-2498. https://doi.org/10.1108/JKM-09-2021-0718.
  • Coronado, E., Kiyokawa, T., Ricardez, G. A. G., Ramirez-Alpizar, I. G., Venture, G. & Yamanobe, N. (2022). Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an Industry 5.0. Journal of Manufacturing Systems, 63, 392-410. https://doi.org/10.1016/j.jmsy.2022.04.007.
  • Demir, K. A., Döven, G. & Sezen, B. (2019). Industry 5.0 and human-robot co-working. Procedia computer Science, 158, 688-695. https://doi.org/10.1016/j.procs.2019.09.104.
  • Di Nardo, M. & Yu, H. (2021). Special issue: Industry 5.0: The prelude to the sixth industrial revolution. Applied System Innovation, 4(3), 45. https://doi.org/10.3390/asi4030045.
  • Dogan, O., Deveci, M., Canıtez, F. & Kahraman, C. (2020). A corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method. Soft Computing, 24, 8937-8953. https://doi.org/10.1007/s00500-019-04421-5.
  • Doyle-Kent, M. & Kopacek, P. (2020). Industry 5.0: is the manufacturing industry on the cusp of a new revolution? Proceedings of the International Symposium for Production Research 2019, Springer International Publishing, 432-441. https://doi.org/10.1007/978-3-030-31343-2_38.
  • European Commission. (2021). Industry 5.0: A transformative vision for Europe; Policy Paper; Europeam Commission: Brussels, Belgium.
  • George, A. S. & George, A. H. (2020). Industrial revolution 5.0: the transformation of the modern manufacturing process to enable man and machine to work hand in hand. Journal of Seybold Report, 1533, 9211.
  • Gosselin, F., Kchir, S., Acher, G., Keith, F., Lebec, O., Louison, C. & Ameyugo, G. (2022). Robot companion, an intelligent interactive robot coworker for the Industry 5.0. International Conference on Intelligent Robots and Systems, 8918-8925. IEEE. https://doi.org/10.1109/IROS47612.2022.9982004.
  • Grabowska, S., Saniuk, S. & Gajdzik, B. (2022). Industry 5.0: improving humanization and sustainability of Industry 4.0. Scientometrics, 127(6), 3117-3144. https://doi.org/10.1007/s11192-022-04370-1.
  • Huang, S., ang, B., Li, X., Zheng, P., Mourtzis, D. & Wang, L. (2022). Industry 5.0 and Society 5.0-comparison, complementation and co-evolution. Journal of Manufacturing Systems, 64, 424-428. https://doi.org/10.1016/j.jmsy.2022.07.010.
  • Jabrane, K. & Bousmah, M. (2021). A new approach for training cobots from small amount of data in industry 5.0. International Journal of Advanced Computer Science and Applications, 12(10). https://doi.org/10.14569/IJACSA.2021.0121070.
  • Javaid, M. & Haleem, A. (2020). Critical components of Industry 5.0 towards a successful adoption in the field of manufacturing. Journal of Industrial Integration and Management, 5(3), 327-348. https://doi.org/10.1142/S2424862220500141.
  • Javaid, M., Haleem, A., Singh, R.P., Haq, M.I.U., Raina, A. & Suman, R. (2020). Industry 5.0: potential applications in COVID-19. Journal of Industrial Integration and Management, 5(4), 507-530. https://doi.org/10.1142/S2424862220500220.
  • Kaasinen, E., Anttila, A. H., Heikkilä, P., Laarni, J., Koskinen, H. & Väätänen, A. (2022). Smooth and resilient human–machine teamwork as an Industry 5.0 design obstacle. Sustainability, 14(5), 2773. https://doi.org/10.3390/su14052773.
  • Kahraman, C., Oztaysi, B., Onar, S.C. & Dogan, O. (2018). Intuitionistic fuzzy originated interval type-2 fuzzy AHP: An application to damless hydroelectric power plants. Int. J. Anal. Hierarchy Process 10(2), 266–292. https://doi.org/10.13033/ijahp.v10i2.538.
  • Katna, R. (2022). Advancement in manufacturing: Industrial Revolution 5.0. Medicon Engineering Themes, 2(2), 50-51.
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  • Khanzode, A. G., Sarma, P. R. S., Mangla, S. K. & Yuan, H. (2021). Modeling the Industry 4.0 adoption for sustainable production in Micro, Small & Medium Enterprises. Journal of Cleaner Production, 279, 123489. https://doi.org/10.1016/j.jclepro.2020.123489.
  • Koch, P. J., van Amstel, M. K., Dębska, P., Thormann, M. A., Tetzlaff, A. J., Bøgh, S. & Chrysostomou, D. (2017). A skill-based robot co-worker for industrial maintenance tasks. Procedia Manufacturing, 11, 83-90. https://doi.org/10.1016/j.promfg.2017.07.141.
  • Kumar, U., Kaswan, M. S., Kumar, R., Chaudhary, R., Garza-Reyes, J. A., Rathi, R. & Joshi, R. (2023). A systematic review of Industry 5.0 from main aspects to the execution status. The TQM Journal, (ahead-of-print). https://doi.org/10.1108/TQM-06-2023-0183.
  • Lasi, H., Fettke, P., Kemper, H. G., Feld, T. & Hoffmann, M. (2014). Industry 4.0. Business & information Systems Engineering, 6, 239-242. https://doi.org/10.1007/s12599-014-0334-4.
  • Leng, J., Sha, W., Wang, B., Zheng, P., Zhuang, C., Liu, Q., & Wang, L. (2022). Industry 5.0: prospect and retrospect. Journal of Manufacturing Systems, 65, 279-295. https://doi.org/10.1016/j.jmsy.2022.09.017.
  • Liu, Y., Yuan, X., Xiong, Z., Kang, J., Wang, X. & Niyato, D. (2020). Federated learning for 6G communications: obstacles, methods, and future directions. China Communications, 17(9), 105-118. https://doi.org/10.23919/JCC.2020.09.009.
  • Longo, F., Padovano, A. & Umbrello, S. (2020). Value-oriented and ethical technology engineering in industry 5.0: a human-centric perspective for the design of the factory of the future, Applied Sciences, 10(12), 4182. https://doi.org/10.3390/app10124182.
  • Ma, L.M., Fong, T., Micire, M.J., Kim, Y.K. & Feigh, K. (2018). Human-robot teaming: concepts and components for design. In Field and Service Robotics; Springer: Berlin/Heidelberg, Germany.
  • Madsen, D.Ø. & Berg, T. (2021). An exploratory bibliometric analysis of the birth and emergence of Industry 5.0. Appl. Syst. Innov., 4, 87. https://doi.org/10.3390/asi4040087.
  • Manrique, C. (2019). Industry 4.0 and Society 5.0 by Christian Manrique. Available online: https://christianmanrique.com/2019/02/14/industry-4-0-and-society-5-0-by-christian-manrique/ (Accessed on 11 September 2023).
  • Mondal, S. & Wong, E. (2022). Global-local AI coordinated learning over optical access networks for scalable H2M/R collaborations. IEEE Network, 36(2), 124-130. https://doi.org/10.1109/MNET.003.2100602.
  • Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2022). A literature review of the obstacles and opportunities of the transition from Industry 4.0 to Society 5.0. Energies, 15(17), 6276. https://doi.org/10.3390/en15176276.
  • Musarat, M.A., Irfan, M., Alaloul, W.S., Maqsoom, A. & Ghufran, M. (2023). A review on the way forward in construction through Industrial Revolution 5.0. Sustainability, 15(18), 13862. https://doi.org/10.3390/su151813862.
  • Müller, J.J.E.C. (2020). Enabling technologies for Industry 5.0. European Commission, 8-10.
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  • Narvaez Rojas, C., Alomia Peñafiel, G. A., Loaiza Buitrago, D. F. & Tavera Romero, C.A. (2021). Society 5.0: A Japanese concept for a superintelligent society. Sustainability, 13(12), 6567. https://doi.org/10.3390/su13126567.
  • Paschek, D., Mocan, A. & Draghici, A. (2019). Industry 5.0—The expected impact of next industrial revolution. In Thriving on future education, industry, business, and Society, Proceedings of the MakeLearn and TIIM International Conference, Piran, Slovenia (pp. 15-17).
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  • Raj, A., Dwivedi, G., Sharma, A., de Sousa Jabbour, A. B. L. & Rajak, S. (2020). Barriers to the adoption of Industry 4.0 technologies in the manufacturing sector: An intercountry comparative perspective. International J. of Production Economics, 224, 107546. https://doi.org/10.1016/j.ijpe.2019.107546.
  • Rajesh, R. (2023). Industry 5.0: Analyzing the obstacles in implementation using grey influence analysis. Journal of Enterprise Information Manegement, 36(5), 1349-1371. https://doi.org/10.1108/JEIM-03-2023-0121.
  • Sanchez, M., Exposito, E. & Aguilar, J. (2020). Industry 4.0: survey from a system integration perspective. International Journal of Computer Integrated Manufacturing, 22(10-11), 1017-1041. https://doi.org/10.1080/0951192X.2020.1775295.
  • Sharma, M., Sehrawat, R., Luthra, S., Daim, T. & Bakry, D. (2022). Moving towards Industry 5.0 in the pharmaceutical manufacturing sector: obstacles and solutions for Germany. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2022.3143466.
  • Simões, A.C., Soares, A.L. & Barros, A.C. (2020). Factors influencing the intention of managers to adopt collaborative robots (cobots) in manufacturing organizations. Journal of Engineering and Technology Management, 57, 101574. https://doi.org/10.1016/j.jengtecman.2020.101574.
  • Solangi, Y.A., Shah, S.A.A., Zameer, H., Ikram, M. & Saracoglu, B.O. (2019). Assessing the solar PV power project site selection in Pakistan: based on AHP-fuzzy VIKOR approach. Environmental Science and Pollution Research, 26, 30286-30302. https://doi.org/10.1007/s11356-019-06172-0.
  • Stentoft, J., Adsbøll Wickstrøm, K., Philipsen, K. & Haug, A. (2021). Drivers and barriers for Industry 4.0 readiness and practice: empirical evidence from small and medium-sized manufacturers. Production Planning & Control, 32(10), 811-828. https://doi.org/10.1080/09537287.2020.1768318.
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  • Tropschuh, B., Dillinger, F., Korder, S., Maier, M., Gärtner, Q. & Vernim, S. (2021). Industry 5.0—A Human-centric Approach Approaches for a flexible and human-centered integration and support of employees in the digitalized and interconnected production of the future. ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetr, 116, 387-392. https://doi.org/10.1515/zwf-2021-0091.
  • Wu, W.W. & Lee, Y.T. (2007). Developing global managers’ competencies using the fuzzy DEMATEL method. Expert Systems with Applications, 32(2), 499-507. https://doi.org/10.1016/j.eswa.2005.12.005.
  • Xu, Z. (2010). Choquet integrals of weighted intuitionistic fuzzy information. Information Sciences, 180(5), 726-736. https://doi.org/10.1016/j.ins.2009.11.011.
  • Xu, L.D. (2020). Industry 4.0-Frontiers of fourth industrial revolution. Systems Research and Behavioral Science, 37(4), 531-534. https://doi.org/10.1002/sres.2719.
  • Xu, X., Lu, Y., Vogel-Heuser, B. & Wang, L. (2021). Industry 4.0 and Industry 5.0—Inception, conception and perception. J. Manuf. Syst., 61, 530–535. https://doi.org/10.1016/j.jmsy.2021.10.006.
  • Zadeh, L.A. (1965). Fuzzy sets. Information and Control, 8(3), 338-353. https://doi.org/10.1016/S0019-9958(65)90241-X.
  • Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning—I. Information Sciences, 8(3), 199-249. https://doi.org/10.1016/0020-0255(75)90036-5.
  • Zaplana, I., Cepolina, E., Faieta, F., Lucia, O., Gagliardi, R., Baizid, K. & Cannella, F. (2020). A novel strategy for balancing the workload of industrial lines based on a genetic algorithm. In 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 1, 785-792. https://doi.org/10.1109/ETFA46521.2020.9212038.
  • zapla., Pham, Q.-V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T.R., Ruby, R. & Liyanage, M. (2022). Industry 5.0: A survey on enabling technologies and potential applications. J. Ind. Inf. Integr., 26, 100257. https://doi.org/10.1016/j.jii.2021.100257.
Toplam 64 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Üretim ve Operasyon Yönetimi
Bölüm Araştırma Makalesi
Yazarlar

Damla Çevik Aka 0000-0001-9622-273X

Gönderilme Tarihi 24 Temmuz 2024
Kabul Tarihi 7 Mart 2025
Yayımlanma Tarihi 31 Mayıs 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 16 Sayı: 2

Kaynak Göster

APA Çevik Aka, D. (2025). Industry 5.0 Challenges: Analyzing with Interval-Valued Intuitionistic Fuzzy AHP. Gümüşhane University Journal of Social Sciences, 16(2), 491-510.