An AI Planning Approach to Factory Production Planning and Scheduling
Jie Liu, Ruishi Liang, Junwei Xian
Abstract
Jie Liu, Ruishi Liang, Junwei Xian
Abstract
The factory production planning and scheduling is an essential process for modern industry manufacturing, which includes production planning of workshop machines and transportation coordination among different locations. Generally, large-scale systems such as ERP and APS are used to complete the planning guidance. In this paper, we employ an AI planning approach to factory production planning and scheduling. The proposed approach models the factory production planning problem as a standard AI planning task expressed by the formal language of PDDL, and solves the task through a state-of-the-art planner which results in a complete production planning solution. The model simplifies the process of production planning and scheduling and can give valuable planning guidance for real production manufacture.
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The factory production planning and scheduling is an essential process for modern industry manufacturing, which includes production planning of workshop machines and transportation coordination among different locations. Generally, large-scale systems such as ERP and APS are used to complete the planning guidance. In this paper, we employ an AI planning approach to factory production planning and scheduling. The proposed approach models the factory production planning problem as a standard AI planning task expressed by the formal language of PDDL, and solves the task through a state-of-the-art planner which results in a complete production planning solution. The model simplifies the process of production planning and scheduling and can give valuable planning guidance for real production manufacture.
Key concepts: Production planning, Automated planning and scheduling, Planner, Scheduling (production processes), Computer science, Factory (object-oriented programming), Material requirements planning, Production (economics)