Case study analysis and genetic algorithm adaptation for job process planning and scheduling in batch production
The paper presents an application of job process planning and scheduling into the production of turned parts. Both planning and scheduling are controlled by the genetic algorithm (GA) approach in order to achieve optimum plans. Genetic algorithms are one of the artificial intelligence methods. With GA we are searching in an iterative manner for possible schedules taking into account the limitation
