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Endüstri 5.0'da insan-robot iş birliği: İş gücü planlama optimizasyon modeli

Yıl 2026, Cilt: 41 Sayı: 1 , 413 - 426 , 31.03.2026
https://doi.org/10.17341/gazimmfd.1778548
https://izlik.org/JA34KZ26BJ

Öz

Endüstri 5.0, üretim süreçlerini dijitalleştirmenin yanı sıra insan merkezli, sürdürülebilir ve dayanıklı sistemler kurmayı hedefleyen yeni bir üretim paradigmasıdır. Bu yaklaşım, insan ve robot iş gücünün birlikte çalıştığı hibrit üretim ortamlarını teşvik eden; çalışan memnuniyeti, beceri ve iş yükü dengesine odaklanan bir üretim yaklaşımıdır. Klasik üretim planlama modelleri insan-robot entegrasyonunu karşılamada yetersiz kalmakta; bu durum esnek ve insan merkezli çözümler gerektirmektedir. Bu çalışmada, Endüstri 5.0 prensipleri doğrultusunda iş gücü memnuniyetini ve verimliliğini artırmayı hedefleyen robotlar ve işçiler için çok amaçlı hedef programlama tabanlı görev atama modeli önerilmiştir. Model, işçilerin memnuniyet ve beceri düzeylerini, iş yükü dengesi gereksinimlerini, çalışma saatlerini ve dinlenme sürelerini dikkate alarak robotların ve işçilerin uyum içinde çalışmasını amaçlamaktadır. Ayrıca zaman pencereleri, öncelik ilişkileri ve robot uygunluğu gibi üretim sürecinin gereksinimlerini de ele almaktadır. Model 9 farklı senaryo üzerinde test edilmiş, duyarlılık analizi yapılmış ve DEMATEL yöntemi ile hedef ağırlıkları belirlenerek karar destek yapısı güçlendirilmiştir. 24 çalışan, 96 iş ve 32 iş önceliği içeren senaryolar için optimum sonuçlar elde edilmiş, ancak uygun çözüm süresinde daha büyük problemlerde optimum sonuçlara ulaşılamamıştır. Sonuçlar, modelin insan-robot iş birliğine dayalı üretime yönelik Endüstri 5.0 vizyonuyla uyumlu, uygulanabilir ve etkili bir çözüm sunduğunu göstermektedir. Bu bağlamda, çalışma literatürdeki boşluğu doldurmakta ve gelecekteki araştırmalar için sağlam bir temel oluşturmaktadır.

Kaynakça

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  • 3. Haweel, M., Advancing Sustainable Practices in Manufacturing: An Approach to Intelligent Systems Integration. Int. J. Electr. Eng. and Sustain., 2 (1), 31–44, 2024.
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  • 12. Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L., Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of manufacturing systems, 61, 530-535, 2021.
  • 13. Trstenjak, M., Benešova, A., Opetuk, T., & Cajner, H., Human factors and ergonomics in industry 5.0—A Systematic literature review. Applied Sciences, 15 (4), 2123, 2025.
  • 14. Akundi, A., Euresti, D., Luna, S., Ankobiah, W., Lopes, A., & Edinbarough, I., State of Industry 5.0—Analysis and identification of current research trends. Applied System Innovation, 5 (1), 27, 2022.
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Human-Robot collaboration in Industry 5.0: Workforce planning optimization model

Yıl 2026, Cilt: 41 Sayı: 1 , 413 - 426 , 31.03.2026
https://doi.org/10.17341/gazimmfd.1778548
https://izlik.org/JA34KZ26BJ

Öz

Industry 5.0 is a new production paradigm that aims not only at digitalizing production processes but also at building human-centered, sustainable and resilient systems. This approach encourages hybrid production environments where human and robotic workforce work together; it is a production approach that focuses on worker satisfaction, skills and workload balance. Classical production planning models are insufficient to meet human-robot integration; this necessitates flexible and human-centered solutions. In this study, a multi-objective goal programming based task assignment model is proposed for robots and workers, which aims to increase workforce satisfaction and efficiency in line with the principles of Industry 5.0. The model aims for robots and workers to work in harmony while taking into account the satisfaction and skill levels of workers, workload balance requirements, working hours and rest periods. It also addresses the requirements of the production process such as time windows, priority relationships and robot suitability. The model was tested on 9 different scenarios, sensitivity analysis was performed and the decision support structure was strengthened by determining target weights with the DEMATEL method. Optimal results were produced for scenarios with 24 workers, 96 jobs and 32 job priorities, but optimal results could not be achieved in larger problems at the appropriate solution time. The results show that the model provides a feasible and effective solution compatible with the Industry 5.0 vision of human-robot collaboration-based production. In this respect, the study fills the gap in the literature and provides a solid basis for future research.

Kaynakça

  • 1. Melnyk, L. H., Kubatko, O. V., Dehtyarova, I. B., Dehtiarova, I. B., Matsenko, O. M., & Rozhko, O. D., The effect of industrial revolutions on the transformation of social and economic systems. Problems and Perspectives in Management, 17 (4), 381-391, 2019.
  • 2. Caratu, M., Dragomirov, N., Iovanella, A., & Vlahovic, S., Strategic issues in digital transformation of HR management: systematic literature review and text mining. Technology Analysis & Strategic Management, 37 (13), 4690–4707, 2025.
  • 3. Haweel, M., Advancing Sustainable Practices in Manufacturing: An Approach to Intelligent Systems Integration. Int. J. Electr. Eng. and Sustain., 2 (1), 31–44, 2024.
  • 4. Lu, Y., Zheng, H., Chand, S., Xia, W., Liu, Z., Xu, X., & Bao, J., Outlook on human-centric manufacturing towards Industry 5.0, Journal of Manufacturing Systems, 62, 612-627, 2022.
  • 5. Metcalf, G. S., An introduction to Industry 5.0: history, foundations, and futures, Industry 4.0 to Industry 5.0: Explorations in the Transition from a Techno-economic to a Socio-technical Future, 1 (1), 1-29, 2024.
  • 6. Islam, M. T., Sepanloo, K., Woo, S., Woo, S. H., & Son, Y. J., A review of the industry 4.0 to 5.0 transition: exploring the intersection, challenges, and opportunities of technology and Human–Machine collaboration. Machines, 13 (4), 267, 2025.
  • 7. Ivanov, D., The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61 (5), 1683-1695, 2023.
  • 8. Zafar, M. H., Langås, E. F., & Sanfilippo, F., Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: A state-of-the-art review, Robotics and Computer-Integrated Manufacturing, 89, 102769, 2024.
  • 9. Maddikunta, P. K. R., Pham, Q. V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T. R., & Liyanage, M., Industry 5.0: A survey on enabling technologies and potential applications. Journal of industrial information integration, 26, 100257, 2022.
  • 10. Chen, S. C., Chen, H. M., Chen, H. K., & Li, C. L., Multi-Objective Optimization in Industry 5.0: Human-Centric AI Integration for Sustainable and Intelligent Manufacturing. Processes, 12 (12), 2723, 2024.
  • 11. Coronado, E., Kiyokawa, T., Ricardez, G. A. G., Ramirez-Alpizar, I. G., Venture, G., & Yamanobe, N., 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, 2022.
  • 12. Xu, X., Lu, Y., Vogel-Heuser, B., & Wang, L., Industry 4.0 and Industry 5.0—Inception, conception and perception. Journal of manufacturing systems, 61, 530-535, 2021.
  • 13. Trstenjak, M., Benešova, A., Opetuk, T., & Cajner, H., Human factors and ergonomics in industry 5.0—A Systematic literature review. Applied Sciences, 15 (4), 2123, 2025.
  • 14. Akundi, A., Euresti, D., Luna, S., Ankobiah, W., Lopes, A., & Edinbarough, I., State of Industry 5.0—Analysis and identification of current research trends. Applied System Innovation, 5 (1), 27, 2022.
  • 15. Espina-Romero, L., Guerrero-Alcedo, J., Goñi Avila, N., Noroño Sánchez, J. G., Gutiérrez Hurtado, H., & Quiñones Li, A., Industry 5.0: Tracking scientific activity on the most influential industries, associated topics, and future research agenda. Sustainability, 15 (6), 5554, 2023.
  • 16. Barata, J., & Kayser, I., Industry 5.0–past, present, and near future. Procedia Computer Science, 219, 778-788, 2023.
  • 17. Adel, A., Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas, Journal of Cloud Computing, 11, 40, 2022.
  • 18. Xu, J., Sun, Q., Han, Q. L., & Tang, Y., When embodied AI meets Industry 5.0: Human-centered smart manufacturing. IEEE/CAA Journal of Automatica Sinica, 12 (3), 485-501, 2025.
  • 19. Rahman, M. M., Khatun, F., Jahan, I., Devnath, R., & Bhuiyan, M. A. A., Cobotics: The Evolving Roles and Prospects of Next‐Generation Collaborative Robots in Industry 5.0, Journal of Robotics, 2024 (1), 2918089, 2024.
  • 20. Nahavandi, S., Industry 5.0—A human-centric solution. Sustainability, 11 (16), 4371, 2019.
  • 21. Emma-Ikata, D., & Doyle-Kent, M., Industry 5.0 readiness–“Optimization of the relationship between humans and robots in manufacturing companies in Southeast of Ireland”. IFAC-PapersOnLine, 55 (39), 419-424, 2022.
  • 22. Pabolu, V. K. R., A cobot reinforcement framework to facilitate assembly line workers. Procedia CIRP, 118, 241-246, 2023.
  • 23. Prassida, G. F., & Asfari, U., A conceptual model for the acceptance of collaborative robots in industry 5.0, Procedia Computer Science, 197, 61-67, 2022.
  • 24. Sheikh, R. A., Ahmed, I., Faqihi, A. Y. A., & Shehawy, Y. M., Global Perspectives on Navigating Industry 5.0 Knowledge: Achieving Resilience, Sustainability, and Human-Centric Innovation in Manufacturing. Journal of the Knowledge Economy, 16, 15997–16032, 2025.
  • 25. Zizic, M. C., Mladineo, M., Gjeldum, N., & Celent, L., From industry 4.0 towards industry 5.0: A review and analysis of paradigm shift for the people, organization and technology. Energies, 15 (14), 5221, 2022.
  • 26. Cillo, V., Gregori, G. L., Daniele, L. M., Caputo, F., & Bitbol-Saba, N., Rethinking companies’ culture through knowledge management lens during Industry 5.0 transition. Journal of Knowledge Management, 26 (10), 2485-2498, 2022.
  • 27. Martynov, V. V., Shavaleeva, D. N., & Zaytseva, A. A., Information technology as the basis for transformation into a digital society and industry 5.0, Quality Management, Transport and Information Security, Information Technologies, 1, 539-543, 2019.
  • 28. Longo, F., Padovano, A., & Umbrello, S., 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, 2020.
  • 29. Panagou, S., Neumann, W. P., & Fruggiero, F., A scoping review of human robot interaction research towards Industry 5.0 human-centric workplaces. International Journal of Production Research, 62 (3), 974-990, 2024.
  • 30. Alves, J., Lima, T. M., & Gaspar, P. D., Is industry 5.0 a human-centred approach? A systematic review. Processes, 11 (1), 193, 2023.
  • 31. Lou, S., Zhang, Y., Tan, R., & Lv, C., A human-cyber-physical system enabled sequential disassembly planning approach for a human-robot collaboration cell in Industry 5.0. Robotics and Computer-Integrated Manufacturing, 87, 102706, 2024.
  • 32. Bonello, A., Refalo, P., & Francalanza, E., The impacts of industrial safety on environmental sustainability in human-robot-collaboration within industry 5.0. Procedia CIRP, 122, 282-287, 2024.
  • 33. Liao, S., Lin, L., & Chen, Q., Research on the acceptance of collaborative robots for the industry 5.0 era--The mediating effect of perceived competence and the moderating effect of robot use self-efficacy. International Journal of Industrial Ergonomics, 95, 103455, 2023.
  • 34. Molina, R. I. R., Ruiz, M. J. S., Molina, R. J. R., Raby, N. D. L., & Severino-González, P., Innovation systems in industry 5.0: theoretical and methodological bases. Procedia Computer Science, 231, 595-600, 2024.
  • 35. Khoshsepehr, Z., Alinejad, S., & Salari, L., Enhancing organizational quality management in Industry 5.0 through smart technologies and decomposed fuzzy methods. International Journal of Quality & Reliability Management, 42 (10), 2815-2841, 2025.
  • 36. Golovianko, M., Terziyan, V., Branytskyi, V., & Malyk, D., Industry 4.0 vs. Industry 5.0: Co-existence, transition, or a hybrid. Procedia Computer Science, 217, 102-113, 2023.
  • 37. Molina, R. I. R., Amaris, R. R. A., Raby, N. D. L., & Severino-González, P., Trends in the knowledge area of organizations in Industry 5.0: perspectives and theoretical references. Procedia Computer Science, 231, 571-576, 2024.
  • 38. Kaswan, M. S., Chaudhary, R., Garza-Reyes, J. A., & Singh, A., A review of Industry 5.0: from key facets to a conceptual implementation framework. International Journal of Quality & Reliability Management, 42 (4), 1196-1223, 2025.
  • 39. Varma, A., Vajpayee, A., & Sanghani, P., Organizational Culture of Industry 5.0: Exploration Analysis in Multinational and National Companies. Intelligent & Innovative Practices in Engineering & Management, 1, 1-6. 2024.
  • 40. Ghobakhloo, M., Iranmanesh, M., Tseng, M. L., Grybauskas, A., Stefanini, A., & Amran, A., Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values. Journal of Industrial and Production Engineering, 40 (6), 432-447, 2023.
  • 41. Faccio, M., Granata, I., & Minto, R., Task allocation model for human-robot collaboration with variable cobot speed. Journal of Intelligent Manufacturing, 35 (2), 793-806, 2024.
  • 42. Calzavara, M., Faccio, M., & Granata, I., Multi-objective task allocation for collaborative robot systems with an Industry 5.0 human-centered perspective. The International Journal of Advanced Manufacturing Technology, 128 (2), 297-314, 2023.
  • 43. Saleemuddin, S. M., & Hudgikar, S. R. K., Optımızıng of productıon schedulıng wıth cobots ın cellular manufacturıng system usıng ga. Academic Journal of Manufacturing Engineering, 22 (1), 110-114, 2024.
  • 44. Kimaporn, M., & Nunkaew, W., An integration of multi-objective goal programming and linear assignment models based on grey relational analysis for the collaborative robot assignment problem in Human-Robot Collaboration (HRC): An application of industry 5.0. Engineering and Applied Science Research, 52 (1), 90-104, 2025.
  • 45. Demir, K. A., Döven, G., & Sezen, B., Industry 5.0 and human-robot co-working. Procedia computer science, 158, 688-695, 2019.
  • 46. Doven, G., Sezen, B., Demir, K. A., & Balcioglu, Y. S., Industry 5.0: Are We Going to Accept Robots as Co-Workers in Office Environments? An Empirical Analysis. Applied Sciences, 15 (3), 1591, 2025.
  • 47. Pereira, A. G., Lima, T. M., & Santos, F. C., Industry 4.0 and Society 5.0: opportunities and threats, uBibliorum, 2020.
  • 48. Carayannis, E. G., Dezi, L., Gregori, G., & Calo, E., Smart environments and techno-centric and human-centric innovations for Industry and Society 5.0: A quintuple helix innovation system view towards smart, sustainable, and inclusive solutions. Journal of the Knowledge Economy, 1 3(2), 926-955, 2022.
  • 49. Şenol, M. B., A mixed integer programming (MIP) model for evaluating navigation and task planning of human–robot interactions (HRI), Intelligent Service Robotics, 12 (3), 231-242, 2019.
  • 50. Wang, D., & Zhang, J., Flow shop scheduling with human–robot collaboration: a joint chance-constrained programming approach. International Journal of Production Research, 62 (4), 1297-1317, 2024.
  • 51. Battini, D., Berti, N., Finco, S., Zennaro, I., & Das, A., Towards industry 5.0: A multi-objective job rotation model for an inclusive workforce. International Journal of Production Economics, 250, 108619, 2022.
  • 52. Li, X., Nassehi, A., Wang, B., Hu, S. J., & Epureanu, B. I., Human-centric manufacturing for human-system coevolution in Industry 5.0. CIRP Annals, 72 (1), 393-396, 2023.
  • 53. Zhang, J., & Fujimura, S., An innovative meta–heuristic for balancing and scheduling human–robot collaborative assembly lines in Industry 5.0. Journal of Industrial and Production Engineering, 43 (1), 117-137, 2026.
  • 54. Diamantini, C., Pisacane, O., Potena, D., & Storti, E., Personalized Task Reassignment in Industry 5.0: A MILP-Based Solution Approach. ICEIS, 2, 813-820, 2025.
  • 55. Dimény, I., Koltai, T., Sepe, C., Murino, T., Gallina, V., & Komenda, T., MILP model to decrease the number of workers in assembly lines with human-robot collaboration, IFAC-PapersOnLine, 54 (1), 169-174, 2021.
  • 56. Battaïa, O., Dolgui, A., Guschinsky, N., & Tavakkoli-Moghaddam, H., A Novel MILP Model for Human-Robot Collaboration in Assembly Line Balancing under budget constraints, IFAC-PapersOnLine, 59 (10), 1922-1927, 2025.
  • 57. Martini, B., Bellisario, D., & Coletti, P., Human-centered and sustainable artificial intelligence in industry 5.0: Challenges and perspectives. Sustainability, 16 (13), 5448, 2024.
  • 58. Altundaş, A., Arıkan M., Erol, S., Routing and payload planning of multi-base, heterogeneous fleet unmanned aerial vehicles to time-windowed missions. Journal of the Faculty of Engineering and Architecture of Gazi University, 40 (3), 501-520, 2025.
  • 59. Desticioglu, B., Kurtay, K. G., Altundas, A., & Dagistanli, H. A., Determining suitable routes for vaccine distribution to hospitals: application of ankara province. Politeknik Dergisi, 13, 1607-1614, 2021.
  • 60. Dağıstanlı, H. A., Multi-Product, Multi-Depot Vehicle Routing Problem: The Example of Military Pharmaceutical Factory, Politeknik Dergisi, 27 (3), 1017-1027, 2023.
  • 61. Erdal, H., Kurtay, K. G., & Dağıstanlı, H. A., Suggesting A Stochastic Measurement Tool for Determining Crime and Safety Indexes: Evidence from Turkey. Gazi University Journal of Science, 37 (1), 339-355, 2024.
  • 62. Dağıstanlı, H. A., & Gencer, C. T., Evaluation of medium-lift forest fire helicopter using q-rung orthopair fuzzy set based alternative ranking technique based on adaptive standardized intervals approach. Engineering Applications of Artificial Intelligence, 148, 110468, 2025.
  • 63. Beğenirbaş, M., Kurtay, K. G., Dağıstanlı, H. A., & Altundaş, A., Savunma tedarik sürecinde çalışanlarda etkili kriterlerin önemlilik düzeyinin bulanık dematel yöntemleriyle belirlenmesi. Savunma Bilimleri Dergisi, 2 (43), 269-294, 2023.
  • 64. Si, S. L., You, X. Y., Liu, H. C., & Zhang, P., DEMATEL technique: a systematic review of the state‐of‐the‐art literature on methodologies and applications. Mathematical problems in Engineering, 2018 (1), 3696457, 2018.
  • 65. Li, T., & Fei, L., Exploring obstacles to the use of unmanned aerial vehicles in emergency rescue: A BWM-DEMATEL approach. Technology in Society, 81, 102863, 2025.
  • 66. Laddha, S., & Agrawal, A., Unveiling barriers to Industry 5.0 adoption in supply chains: a DEMATEL approach. RAUSP Management Journal, 59 (2), 123-137, 2024.
Toplam 66 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Endüstri Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Kemal Gürol Kurtay 0000-0003-4268-2401

Gönderilme Tarihi 5 Eylül 2025
Kabul Tarihi 12 Aralık 2025
Yayımlanma Tarihi 31 Mart 2026
DOI https://doi.org/10.17341/gazimmfd.1778548
IZ https://izlik.org/JA34KZ26BJ
Yayımlandığı Sayı Yıl 2026 Cilt: 41 Sayı: 1

Kaynak Göster

APA Kurtay, K. G. (2026). Endüstri 5.0’da insan-robot iş birliği: İş gücü planlama optimizasyon modeli. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 41(1), 413-426. https://doi.org/10.17341/gazimmfd.1778548
AMA 1.Kurtay KG. Endüstri 5.0’da insan-robot iş birliği: İş gücü planlama optimizasyon modeli. GUMMFD. 2026;41(1):413-426. doi:10.17341/gazimmfd.1778548
Chicago Kurtay, Kemal Gürol. 2026. “Endüstri 5.0’da insan-robot iş birliği: İş gücü planlama optimizasyon modeli”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 41 (1): 413-26. https://doi.org/10.17341/gazimmfd.1778548.
EndNote Kurtay KG (01 Mart 2026) Endüstri 5.0’da insan-robot iş birliği: İş gücü planlama optimizasyon modeli. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 41 1 413–426.
IEEE [1]K. G. Kurtay, “Endüstri 5.0’da insan-robot iş birliği: İş gücü planlama optimizasyon modeli”, GUMMFD, c. 41, sy 1, ss. 413–426, Mar. 2026, doi: 10.17341/gazimmfd.1778548.
ISNAD Kurtay, Kemal Gürol. “Endüstri 5.0’da insan-robot iş birliği: İş gücü planlama optimizasyon modeli”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi 41/1 (01 Mart 2026): 413-426. https://doi.org/10.17341/gazimmfd.1778548.
JAMA 1.Kurtay KG. Endüstri 5.0’da insan-robot iş birliği: İş gücü planlama optimizasyon modeli. GUMMFD. 2026;41:413–426.
MLA Kurtay, Kemal Gürol. “Endüstri 5.0’da insan-robot iş birliği: İş gücü planlama optimizasyon modeli”. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, c. 41, sy 1, Mart 2026, ss. 413-26, doi:10.17341/gazimmfd.1778548.
Vancouver 1.Kemal Gürol Kurtay. Endüstri 5.0’da insan-robot iş birliği: İş gücü planlama optimizasyon modeli. GUMMFD. 01 Mart 2026;41(1):413-26. doi:10.17341/gazimmfd.1778548