Optessa
offers planning and scheduling optimization products for manufacturing
companies, specifically the auto industry. These products are:
·
Optessa
MLP: enterprise level planning
·
Optessa
MLS: detailed scheduling and sequencing
·
Optessa
RTS: real-time scheduling and sequencing in an automated environment
Optessa
has been successful in developing business with global manufacturers. The functional
and technical advantage that the company’s products have over competitors has
been critical to obtaining these customers.
In
the auto and consumer products manufacturing industries, there is increasing
pressure to be flexible and reactive in terms of business processes. The ideal
state would be to have complete flexibility in order fulfillment while
maintaining business process stability.
Optessa
sees new business opportunities in enabling and positioning Optessa MLP and
Optessa MLS to meet this need. The new business challenges require on-demand
planning and scheduling of business processes. With this aim, Optessa has
embarked on a project to bring together Optessa’s optimization technology and a
platform based on in-memory database technology and concurrent optimization to
develop an on-demand and event driven planning and scheduling architecture for
Optessa MLP and MLS.
There
are two significant challenges to achieving near real-time planning and
scheduling business processes based on Optessa MLP and MLS.
The
first challenge is data marshaling: data base operations involving large data
volumes are necessary to extract, map and transfer the data required by Optessa
to generate optimized solutions. These are typically client-side processes. Up
to 50% of the entire process time could be due to data marshaling. In-memory databases offer the capability to
significantly speed up data marshaling lead times. Optessa has released an
in-memory data marshaling and parallelized version of Optessa products while
preserving the generic platform independent nature of the products.
The
second challenge is computational: Optessa algorithmic engines generally
execute in a serial manner. Optessa is parallelizing the design of the
computational engines to make use of the multi-threading capabilities offered
by current multi-core CPUs.
By
addressing these two challenges Optessa seeks to reduce solution generation
times by 66% to 90%. Such speeding up will not only benefit existing customers
but also enable new on-demand / real-time use cases that are presently
intractable. Optessa will be able to offer a unique set of solutions, currently
unmatched by competitors.