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 and simulation
* Verification and 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:

* Computer simulation tools
* Automated hardware testing tools
* Product lifecycle and product data management systems[4]
* Enterprise resource planning tools
* Manufacturing execution systems
* Computer-aided design (MCAD) and electronic design automation (ECAD) tools

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. New York, New York, USA: ACM Press. pp. 933–942. doi:10.1145/1242572.1242698. ISBN 9781595936547. http://dx.doi.org/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. https://www.worldcat.org/oclc/24628890.
3. ↑ Rangan, Ravi M.; Chadha, Bipin (2001-03-01). "Engineering Information Management to Support Enterprise Business Processes" (in en). Journal of Computing and Information Science in Engineering 1 (1): 32–40. doi:10.1115/1.1353845. ISSN 1530-9827. https://asmedigitalcollection.asme.org/computingengineering/article/1/1/32/445238/Engineering-Information-Management-to-Support.
4. ↑ "How PLM/PDM manage half of Engineers' data and how EIM complents the other 50%. – EIM". https://engineering-information-management.com/how-plm-only-manages-50percent-of-engineering-data-and-eim-complements-it/.

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