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On architecting and composing engineering information services to enable smart manufacturing
Boonserm Serm Kulvatunyou1, Nenad Ivezic1, Vijay Srinivasan2
1Systems Integration Division, National Institute of Standards and Technology, Gaithersburg, MD 20899-8260, USA.
Journal of Computing and Information Science in Engineering
|November 15, 2016
Summary
The study explores replacing traditional engineering information systems with dynamic, composable services for smart manufacturing. This shift aims to enhance interoperability and flexibility in digitized manufacturing environments.
Area of Science:
- Manufacturing Engineering
- Information Systems
- Smart Manufacturing
Background:
- Engineering information systems are crucial for manufacturing digitization and smart manufacturing.
- Traditional systems rely on static data exchange for product lifecycle interoperability.
- A paradigm shift towards dynamic, composable engineering information services is emerging.
Purpose of the Study:
- To investigate the transition from traditional engineering information systems to dynamic service-based architectures.
- To identify opportunities and challenges in architecting and composing engineering information services for smart manufacturing.
Main Methods:
- Review of current engineering information system paradigms.
- Analysis of service-oriented architecture principles applied to manufacturing information.
- Exploration of dynamic composition strategies for engineering services.
Main Results:
- Engineering information services offer greater flexibility and adaptability compared to traditional systems.
- Dynamic composition enables real-time adjustments to manufacturing operations.
- Architecting and composing these services present significant technical and integration challenges.
Conclusions:
- The adoption of engineering information services is key to advancing smart manufacturing capabilities.
- Overcoming architectural and composition challenges is essential for realizing the full potential of these services.
- Further research is needed to develop robust frameworks for engineering information service composition.
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