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Related Experiment Video

Updated: Sep 20, 2025

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump

Published on: June 1, 2022

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

Xuemiao Cui¹, Jiping Lu¹, Yafeng Han¹

¹School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China.

Sensors (Basel, Switzerland)

|June 10, 2022

Summary

This study introduces a unified data modeling method to address challenges in integrated logistics support (ILS) data. The proposed framework enables efficient data sharing and utilization across different equipment ILS systems.

Keywords:

integrated logistics support metadata metamodel multidimensional data model unified data modeling

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Last Updated: Sep 20, 2025

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Application of Design Aspects in Uniaxial Loading Machine Development

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Published on: September 19, 2018

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.