Background
In today’s engineering and manufacturing
organizations, paper based product design and analysis approaches
have largely been replaced by computer-based solutions that
digitally store and manage the product definition information.
New business processes, information architectures and models,
and hardware/software infrastructures have been deployed within
the OEM and supply communities to effectively leverage the
initial use of this newly created digital information.
However, the processes, models, and infrastructure designs
for addressing the long term archival and reuse of the digital
information have not been widely deployed. Long term archival
and reuse has been a challenge because any solution requires
alignment of storage media, data architecture, authoring/editing
software, and hardware infrastructure. Such an alignment can
be difficult to achieve because each of these components has
its own unique lifecycle duration.
 Until
recently, the relative newness of digitally managed product
definition and lifecycle information has afforded companies
the opportunity to ignore long term archival issues. However,
many companies have now reached such a level of maturity with
digital product lifecycle information management that issues
pertaining to data retention and reuse have become critical
for their near-term business plans and economic viability.
The recommendations developed by SASIG have been designed to
guide companies to effective and efficient archival and retrieval
practices. Specific recommendations address Retention Time
Periods, Format, LTAR Process, and Quality Assurance. In addition
SASIG will develop a test bed capability for assessing an enterprise’s
LTAR capability.
The Recommendation
The document contains a current state assessment
of long term archiving and retrieval within the automotive
industry. This assessment was made from survey analysis of
both the OEM and supplier communities. Following the current
state assessment is a future state vision that describes the
four LTAR recommendations and the test bed capability for assessing
an enterprise’s LTAR capability.
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