Dynamic Collaboration Model of Production Network Based on Cloud Service Bus

Area of Science:

• Manufacturing Systems Engineering
• Cloud Computing
• Industrial Internet

Background:

• Manufacturing IT systems face challenges with complex software, diverse protocols, and integration issues.
• Cloud Service Bus (CSB) technology offers a solution for rapid cloud migration and deployment of heterogeneous industrial applications.
• Traditional CSB integration lacks consideration for real-world production constraints like capacity and cost.

Purpose of the Study:

• To propose a dynamic collaboration model for production networks integrated with CSB.
• To address the limitations of arbitrary service choreography in industrial settings.
• To optimize production planning considering resource constraints and overall network efficiency.

Main Methods:

• Developed a dynamic collaboration model for CSB-based production networks.
• Incorporated production node capacity, cost, and relationships as constraints.
• Utilized overall production network efficiency as the optimization objective.
• Enabled real-time scheduling operations for production line services.

Main Results:

• The model calculates optimal production plans with the highest resource utilization and value.
• Demonstrated improved rationality and economy in service choreography.
• Successfully applied the model to an enterprise with 11 production nodes and 5 production lines.
• Achieved optimal production organization schemes and maximized enterprise output value.

Conclusions:

• The proposed dynamic collaboration model enhances the integration of production service nodes within CSB.
• It provides a data-driven approach to optimize production networks for improved efficiency and economic benefits.
• The model effectively balances technical integration with production condition support, maximizing the value of the production network.