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Towards a Lifecycle Information Framework and Technology in Manufacturing.

Thomas Hedberg1, Allison Barnard Feeney1, Moneer Helu1

  • 1Systems Integration Divison, Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, Maryland 20899.

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Summary
This summary is machine-generated.

This paper introduces the Lifecycle Information Framework and Technology (LIFT), a novel approach to managing and integrating data across the entire product lifecycle. LIFT aims to enable dynamic information modeling for better data curation and reuse in manufacturing.

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Area of Science:

  • Manufacturing Informatics
  • Data Management
  • Information Systems

Background:

  • Integrating data across the product lifecycle has been a long-standing challenge due to varying data contexts and multiple repositories.
  • Existing data management approaches struggle with the complexity and heterogeneity of data throughout the product lifecycle.
  • The need for dynamic information modeling is critical for effective digital-data curation and reuse in industrial settings.

Purpose of the Study:

  • To introduce and explore the Lifecycle Information Framework and Technology (LIFT) as a conceptual framework.
  • To propose a research agenda for dynamic information modeling in manufacturing.
  • To facilitate the integration of data across the product lifecycle for improved curation and reuse.

Main Methods:

  • Exploration of the LIFT conceptual framework.
  • Discussion of existing technologies and activities leveraged by LIFT.
  • Examination of underlying technologies and a detailed use case.

Main Results:

  • LIFT provides a structured approach to lifecycle information management.
  • The framework integrates emerging and existing technologies for dynamic information modeling.
  • A use case demonstrates the practical application and potential of LIFT in manufacturing.

Conclusions:

  • LIFT offers a promising solution for overcoming data integration challenges in manufacturing.
  • Dynamic information modeling is essential for digital-data curation and reuse.
  • The LIFT framework lays the groundwork for future research and development in manufacturing informatics.