GPS Tracking Versus Dispatch and Scheduling Software

28 Sep

Many small and mid scaled companies, including some large scale companies as well are facing the challenge of “Travelling salesman problem” which is abbreviated as TSP. According to Wikipedia TSP means, “The travelling salesman problem (TSP) is an NP-hard problem in combinatorial optimization studied in operations research and theoretical computer science. Given a list of cities and their pair wise distances, the task is to find the shortest possible route that visits each city exactly once and returns to the origin city.”
The fact is that, it is not only a “Salesman” problem, but it is a problem with any business or person who requires travelling for whatever reason. This problem costs money, C2Logix and time for an entity. To deal with these daunting problems there are several techniques, which on a broader view can be reduced to following two types:
a) Manual techniques.
b) Using software.
Needless to say that manual technique consumes a lot of time to deal with all the planning and calculations, and also it is difficult to eliminate human errors. Besides using software to plan and optimize travelling routes solves the given problem easily and efficiently. A wide variety of software’s are available today to help with the route planning. http://www.c2logix.com/
Route planning is easy when the routes are of singular order, but when it comes to multiple route planning; using a “multiple root planning software” is of immense help.
The iterative and multiple constraint based method employed in these decisions making operations are well handled by a multiple route planning application. These applications are usually of two types:
a) Installer packages.
b) Online applications.
The installer type package offer good functionality but lacks many advantageous features offered by an online application over it. An online multiple resource planner software can work miracles when asked for route optimization, providing various constraints support for effective results.

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