Application of digital human modeling and experimental design for ergonomic risk optimization in a human-robot collaboration workstation İnsan-robot işbirliği içeren bir istasyonda ergonomik risk optimizasyonu için dijital insan modellemesi ve deney tasarımının uygulanması


Creative Commons License

Yetkin B. N., ULUTAŞ B.

Journal of the Faculty of Engineering and Architecture of Gazi University, cilt.41, sa.1, ss.1-15, 2026 (SCI-Expanded, Scopus, TRDizin) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 41 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.17341/gazimmfd.1544644
  • Dergi Adı: Journal of the Faculty of Engineering and Architecture of Gazi University
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.1-15
  • Anahtar Kelimeler: design of experiments, digital human modelling, ergonomic risks, Human-robot collaboration
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

Human-robot collaboration applications has the potential to reduce the workload and to foster better working conditions. However, developing robotic applications that improve ergonomic criteria is not a simple problem. In this study, a methodology is proposed to guide the development and evaluation of ergonomics-oriented collaborative workstations. The methodology consists of four steps: (i) modeling the workstation in JACK software and running the simulation, (ii) evaluating ergonomic risks (iii) determining the inputs and responses to improve ergonomic risks (iv) collecting data by design of experiments and finding the optimal solution by multi-response optimization. This methodology is applied to a gear pump product in the automotive industry. Controllable design parameters that may influence the physical risks are defined as number of cobots, task complexity, human's anthropometric characteristics and product features. 64 experiments were modelled for different configurations. Multi-objective optimization technique applied for five different performance measures that are characterized as cumulative compression, cumulative low back moment exposure on L4/L5, energy expenditure rate, and cycle time. The effects of factors on the responses are discussed including cost analyses. Finally, a simplified model is proposed. The methodology shows the advantages of combining digital modelling tools, and statistical design approaches like Design of Experiments.