Collaborative Robot Integration in Mixed-model Assembly Line Balancing with Ergonomic Risk Considerations

This dataset accompanies the research article titled \"Collaborative Robot Integration in Mixed-model Assembly Line Balancing with Ergonomic Risk Considerations.\" It provides the complete set of data used in the case studies and analyses presented in the paper. The dataset aims to support transparency, reproducibility, and further research on human–robot collaboration and ergonomics-oriented assembly line balancing. The dataset includes: Case study data: Detailed task information, processing times, ergonomic scores, and collaborative configurations for each case. MANOVA results: Statistical outcomes assessing the effects of ergonomic weighting and robot integration on performance measures. Test problem data: Benchmark instances and parameter settings used for validation and sensitivity analyses. Researchers can use this dataset to replicate the results of the study or to extend the model for new configurations, optimization techniques, or ergonomic assessment frameworks.