Human decision making in production planning systems: How do superior information and systematic bias impact the performance?
Human planners usually are the final decision makers in production planning activities. Production planning systems provide relevant information and suggestions for supporting human decisions. Therefore, a good system does not mean a complex system with advanced algorithms, but a system that guides the human planner towards an efficient production plan. Human planners can use superior information that is not available in the system, working experience, heuristics, and intuition, to come to a production plan that is better than that of the planning system. At the same time, humans’ cognitive biases and their limited understanding of stochasticity can lead to bad performance. The goal of this project is to investigate the interaction between production planning systems and human decision makers in a stochastic environment, and to provide guidelines on how to optimally design the human-system interaction.