Optimization model to extend existing production planning and control systems for the use of additive manufacturing technologies in the industrial production

4th International Conference on System-Integrated Intelligence - Intelligent, Flexible and Connected Systems in Products and Production, Leibniz Univ Hannover, Hannover Ctr Prod Technol, Hanover, Germany, Jun, 2018The use of additive manufacturing technologies for industrial production is constantly growing. This technology differs from the known production procedures. The areas of scheduling, detailed and sequence planning are particularly important for additive production due to the long print times and flexible use of the production area. Therefore, production-relevant variables are considered and used for the production planning and control (PPC) of additive manufacturing machines. For this purpose, an optimization model is presented which shows a time-oriented build space utilization. In the implementation, a nesting algorithm is used to check the combinability of different models for each individual print jobTaikomosios informatikos katedraVytauto Didžiojo universiteta