Automated Planning and Scheduling: application in the dairy supply chain

Automated Planning and Scheduling is an important area of artificial intelligence that seeks to create efficient action plans to achieve specific goals by optimizing objectives. This study focuses on the application of automated planning techniques in a segment of the dairy supply chain, aiming to foster studies of operational efficiency and competitiveness in the area. The supported language for domain modeling is PDDL3 and PDDL+. The temporal planner used as a solver is the OPTIC (extit{Optimising Preferences and Time-Dependent Costs}), which in the present study aims to minimize the extit{makespan}. The use of extit{Automated Planning and Scheduling} in optimization studies that deepen the improvement of the efficiency of the dairy product production chain, as well as the use of temporal extit{planners}, is understood as promising.