Popular Approaches for Transport Optimisation

Popular Approaches for Transport Optimisation

AUTHOR

Shyam Soni

TIME TO READ

minutes 

UPDATED ON

April 8, 2021

The purpose of this blog post is simple.

I will explain Some Of The Most Popular Algorithms, Methods And Heuristics Of Transportation Optimisation

Here are some of the most popular terms that you will hear when talking to the experts about transportation optimisation:

Geotagging:

Without knowing the exact location of the source and destination of a particular movement, it is not possible to optimise the route. At one time geo-tagging was much more important than route calculation and optimisation for the simple reason that if we do not accurately know these locations.

Linear Programming:

An easy way of optimising results where there is a linear relationship between the variables, and the optimisation function can be clearly defined. There are several other conditions and constraints that need to be met in order to successfully find a viable result using linear programming. You can optimise for minimum miles, minimum costs, or even maximum profits - depending on how you optimise the solution using linear programming. 

Integer Programming:

A better form of linear programming where additional constraints are put on the mathematical equations in order to find a better viable solution. 

Dynamic Programming:

Dynamic programming is a recursive algorithm. Details are covered in this tutorial. If you are mathematically inclined go through the included tutorial to get a good idea of the finer points of these and many other related algorithms. 


Copyright - These concepts, frameworks and ideas are copyright of GLOBAL SUPPLY CHAIN GROUP from the time of their creation. Do NOT copy these without permission and proper attribution.

Notes:

  1. These ideas and concepts will be usually expressed by our thought leaders in multiple forums - conferences, speeches, books, reports, workshops, webinars, videos and training. You may have heard us say the same thing before.
  2. The date shown above the article refers to the day when this article was updated. This blog post or article may have been written anytime prior to that date. 
  3. All anecdotes are based on true stories to highlight the key points of the article - some details are changed to protect identification of the parties involved. 
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Shyam Soni

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