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2008/07/11 - DNA has announced the latest release of their advanced
logistic optimization component "JOpt.NET 2.2.2" that enables software
vendors to enhance their products with multidimensional vehicle
routing and scheduling facilities. JOpt.NET creates an optimum
schedule in terms of truck's payload to empty ratio and minimizes
overall road mileage. Given any arbitrary number of jobs, JOpt.NET
determines the most cost effective truck allocation including driver's
attributes or skills, capacities, working times and multiple time
constraints at tour stops.
Within the last years JOpt has advanced to be integrated into several
prominent transportation suites. Version 2.2.2 now accommodates this
circumstance and has been specially optimized for large scaled
problems with several thousand stops and hundreds of vehicles.
"We believe that advanced optimization features should be part of
nearly any modern logistic suite and hence we have dedicated ourselves
to offer a flexible and a very cost effective advanced optimization
component with a straight and problem oriented API. Thanks to this
many companies worldwide currently already rely on our technology and
have our components inside. With Version 2.2.2 we have now created a
solid baseline to be prepared for the next step. Entering the market
of large scaled strategic planning projects with thousands of stops
and trucks.", says Vincent Mayer, Technical Product Manager at
DNA.
About DNA: DNA develops and sells flexible and ready-to-use
applications, .NET, Java & J2EE components as well as web services for
planning and optimization jobs to for the transportation and logistic
industries. DNA's software tools enable customers to cope with complex
problems and rapid decisioning. Software vendors or IT service
providers use DNA's software modules to complement and enhance
products or projects with innovative and special expertise features
such as automatic resource planning and route optimization, GIS
functions and enterprise integration components.
More information:
http://www.dna-evolutions.com
mailto:info@dna-evolutions.com
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