Datadriven flödesplanering och -styrning

The course is primarily aimed at working professionals in industry who wish to increase their knowledge of data-driven operations planning and control of materials and capacity.The area of use and the role of data-driven Artificial intelligence (AI) is gaining interest also in industrial contexts. Data-driven AI enables the industry to improve on decision support in for instance generating forecasts of capacity and demand for provisioning of products and services. However, to utilize data-driven AI for operations planning and control, it is important to also understand the theoretical foundation of forecasting as well as planning and control of capacity and materials. This is the starting point of this course, where participants are provided with the theoretical foundation of planning and control covering forecasting, capacity management and materials management within an industrial context. This theoretical knowledge is also converted into practice using different practical planning and control assignments to further aid the learning process. Connected to the assignments, participants will also be given the opportunity to work on company specific problems/challenges related to for example data-driven forecasting.