Browse Publications Technical Papers 2013-01-1405

Efficient Knowledge Management with an SBA: How Innovative Technology can Revive Older Ones 2013-01-1405

The development of new vehicle is becoming increasingly complex: proliferation of on-board electronics, development of hybrid advanced powertrain technologies, globalization of design and production, to name a few. At the same time, companies are straining constantly to better meet consumer desires while reducing time to market and production costs. Definitely a tough challenge!
The ever growing amount of data (both in variety and in number of sources) that the enterprise generates is central to this situation. Compiling and processing this data efficiently is easier said than done. And failure to do so can lead to critical business opportunities being lost!
A solution exists. It comes from the web where an innovative approach was indeed mandatory to cope with the billions of documents to search. It is called “search technology” and is engrained in the DNA of EXALEAD.
Search Based Applications that can be quickly deployed and configured, have been developed to provide business owners with an intuitive and efficient access to data (PLM, ERP, DMS, and so on). Enhanced by semantic processing and quantitative analytics, these SBAs simplify access to and integration of automotive design and project management data.
This paper will first sketch the problem at hand then describe what a SBA is in relation to it. It will then discuss how these search-based applications can be put to great use in order to improve knowledge management and automotive enterprise's efficiency at various stages of a product development. To finish with, some real life usages currently being deployed will be quickly depicted.


Subscribers can view annotate, and download all of SAE's content. Learn More »


Members save up to 40% off list price.
Login to see discount.
Special Offer: With TechSelect, you decide what SAE Technical Papers you need, when you need them, and how much you want to pay.