2022Unpublished venueRequires access

An AI Planning Approach to Factory Production Planning and Scheduling

Jie Liu, Ruishi Liang, Junwei Xian

Open publisher page 4 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Production planning, Automated planning and scheduling, Planner, Scheduling (production processes), Computer science, Factory (object-oriented programming), Material requirements planning, Production (economics)

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