Start your journey with Alteryx Machine Learning - Take our Interactive Lesson today!

Alteryx Machine Learning Discussions

Find answers, ask questions, and share expertise about Alteryx Machine Learning.
Getting Started

Start your learning journey with Alteryx Machine Learning Interactive Lessons

Go to Lessons

Dynamic Routing: Clustering shops (customer_id) around the fulfilment centers

mboroto_89
8 - Asteroid

Dynamic routing is an order fulfilment strategy where orders are dynamically grouped to create an optimum delivery route. An optimum delivery route is one that will cost the least and ensures that the vehicle is optimally utilized.
Assuming delivery costs are broken down as below;
⎯ Fuel costs = Distance (Kms) covered * Fuel cost per KM
⎯ Vehicle costs = cost per trip * no of trips


To create optimum routes, it therefore requires one to ensure that the vehicle covers the shortest distance and carries the most weight per trip.
Remember, per trip, a vehicle will carry a maximum of its capacity (vehicles have a standard carrying capacity as per the manufacturing specifications).


To achieve a dynamic route;
Per territory, per delivery window, select a combination of orders that will cover the shortest distance but provides the highest utilization. (Utilization = Vehicle capacity (as per manufacturer)/total weight of scheduled orders. There is also a consideration of the capacity in terms of space occupied by a product.


In this case; You are only required to address one element of dynamic routing which is clustering shops (customer_id) around the fulfilment centers.
Pls submit an output and the algorithm you will use to cluster the shops. Plot the output on the map and share screenshots.
Check the sample
⎯sample_submission_file_centroids for the columns required and
⎯sample_submission_file_screenshots for screen shots of the clusters and the algorithm used.

⎯ dataset.csv – contains customer orders and delivery details, ⎯ territories_centroids.csv – contains the geo location of all territory
warehouses/fulfillment centers which will be the central place in your clusters (centroids).

 

4 REPLIES 4
KSowers
Alteryx
Alteryx

Is this similar to the last one I helped you with, in which you have to calculate the Warehouse radius for each customer and then try and find the optimal route for the orders?

KSowers
Alteryx
Alteryx

What is the limit that each delivery car can handle? 

mboroto_89
8 - Asteroid

Hi @KSowers yes this is actually from the same data set

mboroto_89
8 - Asteroid

Hi @KSowers i believe there are some assumptions to be made to create optimum routes, it therefore requires one to ensure that the vehicle covers the shortest distance and carries the most weight per trip.
Remember, per trip, a vehicle will carry a maximum of its capacity (vehicles have a standard carrying capacity as per the manufacturing specifications).


To achieve a dynamic route;
Per territory, per delivery window, select a combination of orders that will cover the shortest distance but provides the highest utilization. (Utilization = Vehicle capacity (as per manufacturer)/total weight of scheduled orders. There is also a consideration of the capacity in terms of space occupied by a product.