Engineering information management

Engineering information management (EIM) is the business function within Product Development and specifically Systems Engineering that allows engineers to collaborate on a Single Source of Truth of engineering data.

Contrary to Product Data Management (PDM) and Product Lifecycle Management (PLM), its main purpose is not storage of CAD-related drawings and files, but rather the full execution of the V-Model for hardware development, complementing and integrating to the above mentioned systems.

Scope

EIM Systems enable collaboration on all important aspects of the Engineering Lifecycle, such as:

  • Requirements Management
  • Functional Design
  • Product Architecture
  • Detailed Systems Design & Simulation
  • Verification & Validation
  • Documentation

EIM systems implement the activities on both sides of the engineering V-Model. Instead of being purely a data storage, it focuses also on the human interaction with the models and data,[1] thus enabling Concurrent Engineering.[2]

EIM therefore enables the optimization of products and engineering processes, where traditional methodologies have become ineffective in keeping up with rising product and process complexity.[3]

Interactions with the other Engineering Management systems

EIM Systems do directly and indirectly interact with other tools in the engineering information infrastructure, such as:

Engineering Information Management System interactions with other systems

References
  1. Azam, Farooque; Li, Zhang; Ahmad, Rashid (2007). "Integrating value-based requirement engineering models to webml using vip business modeling framework". Proceedings of the 16th international conference on World Wide Web - WWW '07. New York, New York, USA: ACM Press. doi:10.1145/1242572.1242698.
  2. Stark, John (1992). Engineering information management systems : beyond CAD/CAM, to concurrent engineering support. New York: Van Nostrand Reinhold. ISBN 0-442-01075-3. OCLC 24628890.
  3. Rangan, Ravi M.; Chadha, Bipin (2001-03-01). "Engineering Information Management to Support Enterprise Business Processes". Journal of Computing and Information Science in Engineering. 1 (1): 32–40. doi:10.1115/1.1353845. ISSN 1530-9827.
  4. "How PLM/PDM manage half of Engineers' data and how EIM complents the other 50%. – EIM". engineering-information-management.com. Retrieved 2022-03-17.
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