Business Process Management (BPM) aims to optimize task execution and sequencing to enhance efficiency and create value. With Industry 4.0 and the Internet of Things (IoT), real-time process monitoring and dynamic adaptations have become possible, leading to IoT-enhanced business processes. However, despite these advancements, current BPM technology overlooks real-time human factors, particularly worker wellbeing, when orchestrating manufacturing processes. This gap is critical as Industry 5.0 emphasizes a human-centric approach, recognizing that worker physical and cognitive wellbeing directly impacts productivity, sustainability, and workforce retention. This research project addresses this challenge by integrating real-time worker wellbeing data into IoT business processes for automatic process orchestration. A dynamic worker profile will be developed, leveraging IoT wearables to capture physical and cognitive wellbeing metrics. These real-time insights will then be incorporated into BPM technology to enhance actor assignment and execution, ensuring a balance between worker wellbeing, organizational constraints, and economic objectives. Following the design science research methodology, this project is structured into four work packages, covering wellbeing monitoring, actor assignment extension, mechanism prototyping, and evaluation. By embedding worker wellbeing into process orchestration, this research aims to enhance productivity, reduce accidents and errors, and promote a healthier, more sustainable, and resilient workforce.