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

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Bibliographic Details
Title:	Endüstri 5.0'da insan-robot iş birliği: İş gücü planlama optimizasyon modeli.
Alternate Title:	Human-robot collaboration in industry 5.0: Workforce planning optimization model.
Authors:	Kurtay, Kemal Gürol¹ kemalgurol.kurtay@msu.edu.tr
Source:	Journal of the Faculty of Engineering & Architecture of Gazi University / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi,. Mar2026, Vol. 41 Issue 1, p413-426. 14p.
Subjects:	Workforce planning, Mathematical optimization, Human-robot interaction, Job satisfaction, Scheduling, Multi-objective optimization, Sustainability
Abstract (English):	Industry 5.0 is a new manufacturing paradigm that aims to establish human-centered, sustainable, and resilient systems, while also digitizing production processes. This approach fosters hybrid production environments where human and robotic workforces collaborate, focusing on worker satisfaction, skill, and workload balance. Classical production models fall short of human-robot integration; this requires flexible and human-centered solutions. In this study, a multi-objective goal programming-based task assignment model is proposed to increase workforce satisfaction and productivity in line with Industry 5.0 principles. The model aims to ensure that robots and workers work in harmony by considering worker satisfaction and skill levels, workload balance requirements, working hours, and rest periods. It also addresses production process requirements such as time windows, precedence relationships, and robot availability. The model was tested on nine different scenarios, conducted a sensitivity analysis, and strengthened the decision support structure by determining target weights using the DEMATEL method. Optimum results were obtained for scenarios involving 24 workers, 96 jobs, and 32 job priorities, but optimal results were not achieved for larger problems within the appropriate solution time. The results demonstrate that the model offers a feasible and effective solution aligned with the Industry 5.0 vision of human-robot collaborative manufacturing. In this context, the study fills the gap in the literature and provides a solid foundation for future research. [ABSTRACT FROM AUTHOR]
Abstract (Turkish):	Endüstri 5.0, üretim süreçlerini dijitalleştirmenin yanı sıra insan merkezli, sürdürülebilir ve dayanıklı sistemler kurmayı hedefleyen yeni bir üretim paradigması dır. 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 modelleri insan-robot entegrasyonunu karşılamada yetersiz kalmakta; bu esnek ve insan merkezli çözümler gerektirmektedir. Bu çalışmada, Endüstri 5.0 prensipleri doğrultusunda iş gücü memnuniyetini ve verimliliğini artırmayı hedefleyen 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 çalıaçl amaktadşmasınıamır. 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. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	Industry 5.0 is a new manufacturing paradigm that aims to establish human-centered, sustainable, and resilient systems, while also digitizing production processes. This approach fosters hybrid production environments where human and robotic workforces collaborate, focusing on worker satisfaction, skill, and workload balance. Classical production models fall short of human-robot integration; this requires flexible and human-centered solutions. In this study, a multi-objective goal programming-based task assignment model is proposed to increase workforce satisfaction and productivity in line with Industry 5.0 principles. The model aims to ensure that robots and workers work in harmony by considering worker satisfaction and skill levels, workload balance requirements, working hours, and rest periods. It also addresses production process requirements such as time windows, precedence relationships, and robot availability. The model was tested on nine different scenarios, conducted a sensitivity analysis, and strengthened the decision support structure by determining target weights using the DEMATEL method. Optimum results were obtained for scenarios involving 24 workers, 96 jobs, and 32 job priorities, but optimal results were not achieved for larger problems within the appropriate solution time. The results demonstrate that the model offers a feasible and effective solution aligned with the Industry 5.0 vision of human-robot collaborative manufacturing. In this context, the study fills the gap in the literature and provides a solid foundation for future research. [ABSTRACT FROM AUTHOR]
ISSN:	13001884
DOI:	10.17341/gazimmfd.1778548