A novel production execution logic model with directed service node pairs and encapsulated service cells for efficient scheduling and simulation in discrete manufacturing shops

In discrete manufacturing shops, dynamic uncertainty disturbances necessitate frequent scheduling and simulation, posing significant challenges to the efficiency of traditional methods. Therefore, effective production execution logic models are required to manage these dynamics and enhance the efficiency of scheduling and simulation. However, existing production execution logic models lack comprehensive integration of flows of information, control, and material (FICM), making it difficult to effectively describe the dynamic production execution logic and limiting their ability to optimize scheduling and simulation processes. To address this challenge, by extending the seven-elements (SE) and material node-oriented seven-elements (MNOSE) models, this paper proposes a production execution logic model with directed service node pairs and encapsulated service cells (PELM-DaE). The model achieves the representation and integration of FICM, enabling an effective description of dynamic production execution logic. Based on PELM-DaE, a method for constructing connectivity maps is proposed, which allows the characterization of job execution relationships and constraints and the pre-computation of FICM. Additionally, by dynamically constructing and continuously applying connectivity maps, a connectivity map-based framework is proposed to support efficient scheduling and simulation. Based on the above research content, a software platform is developed to implement the encapsulation of the proposed model and method. The practicality and advantages of the model and method in describing the production execution logic and improving the efficiency of scheduling simulation are verified based on an actual manufacturing shop floor.