A Novel Unified Data Modeling Method for Equipment Lifecycle Integrated Logistics Support

Area of Science:

• Engineering
• Information Science

Background:

• Integrated logistics support (ILS) is crucial for maintaining equipment operational capability throughout its lifecycle.
• Current ILS data exhibits multi-source, heterogeneous, and multidimensional characteristics, hindering efficient utilization.
• There is an urgent need for unified data modeling to address these limitations.

Purpose of the Study:

• To propose a unified data modeling method for consistent and comprehensive expression of integrated logistics support (ILS) data.
• To develop a framework and models that facilitate efficient ILS data utilization and sharing.

Main Methods:

• A four-tier unified data modeling framework was constructed based on ILS data characteristics.
• Core, Domain, and Instantiated unified data models were developed.
• Analysis of ILS data across time, product, and activity dimensions was performed.
• A Lifecycle ILS unified data model was created, incorporating multidimensional information retrieval.

Main Results:

• The proposed method addresses the consistent and comprehensive expression of ILS data.
• A unified data modeling framework and successive models (Core, Domain, Instantiated, Lifecycle) were successfully built.
• Multidimensional information retrieval methods for ILS data were discussed.
• Practical ILS data models were constructed using a software prototype, demonstrating feasibility.

Conclusions:

• The developed unified data modeling method effectively solves the ILS data expression problem.
• The framework allows different systems to share a common data model, providing tailored views for ILS designers.
• The feasibility of the proposed unified data modeling approach for equipment ILS was verified through practical implementation.