Companies in dynamic manufacturing environments face challenges using their personnel resources in an agile manner to contain costs. Frequently, planning and scheduling processes are inefficient, lacking integration across different decision-making levels such that it is unclear how to use their resources best. The research project aims to develop a decision support system to facilitate agile personnel and task scheduling in production environments. To this end, we integrate strategic, tactical, and operational decision-making levels and prescribe where and how to embed flexibility in the decision process to address demand fluctuations and disruptions most effectively and efficiently given a company's uncertainty profile. The problem is studied using a dual approach, i.e., Top-Down, analyzing how strategic decisions (e.g., workforce mix) influence lower-level operations, and Bottom-Up, addressing operational challenges by providing appropriate feedback to higher-level decision-making.