An iterative deep reinforcement learning approach to solve vehicle routing problems

Vehicle routing problems have been studied for more than 50 years, and their in- terest has never been higher. It is partly due to their significant economic impact. Decreasing the traveling time, certainly for big organizations, can save costs in the range of millions of dollars and increase their service quality. Moreover, the wide variety of...

Optimization of integrated production and distribution planning in supply chain of an online grocer

This research presents an Integrated Production and Distribution Scheduling (IPDS) optimization problem in which the total transportation costs for an online grocer have to be minimized. The production refers to the preparation of orders at the production facility and the distribution is related to the transportation from the production...