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.



