My Ph.D. delves into the intricacies of task allocation and scheduling within manufacturing but with the consideration of the well-being of the operators. Recognizing the profound impact of well-being on workplace performance, we’re crafting a model that considers both the physical and cognitive aspects of operators’ well-being in the scheduling process. Our aim is to Boost company efficiency while ensuring our operators are thriving, knowing that their well-being directly influences absenteeism and overall productivity. By the complexity of the problem, our model is expected to fall into the NP-Hard category. We will work on a heuristic/approximate algorithm for offline scheduling. On the flip side, we’re also developing a smart recommender algorithm for real-time adjustments. Picture this: when the well being indices hit a certain threshold, our algorithm steps in, suggesting some counter measures to the schedule that keep the threshold surpassing minimal e.g. task swaps between operators when an error occurs. In a nutshell, we’re striving for a sweet spot between operational efficiency and operator well being, contributing a fresh perspective to create workplaces that are both sustainable and full of productivity.