This paper addresses a Time Dependent Capacitated Vehicle Routing Problem with
stochastic vehicle speeds and environmental concerns. The problem has been formulated …

An inventory management problem is addressed for a make-to-order supply chain that has
inventory holding and/or manufacturing locations at each node. The lead times between …

Drone delivery is a fast and innovative method for delivering parcels, food, and medical
supplies. Furthermore, this low-contact delivery mode contributes to reducing the spread of …

This paper studies the applicability of a deep reinforcement learning approach to three
different multi-echelon inventory systems, with the objective of minimizing the holding and …

There is a growing interest in using electric vehicles (EVs) and drones for many applications.
However, battery-oriented issues, including range anxiety and battery degradation, impede …

This paper leverages recent developments in reinforcement learning and deep learning to
solve the supply chain inventory management (SCIM) problem, a complex sequential …

An important issue in the manufacturing and supply chain literature concerns the
optimisation of inventory decisions. Single-product inventory problems are widely studied …

This thesis is written at ORTEC in order to develop a deep reinforcement learning method
that can solve various inventory problems. With this method, we solved three inventory …

Формирование цепочек поставок сырья очень тесно связано с проблемами
производства на лесоперерабатывающем предприятии. С начала второй …

The formation of raw material supply chains is very closely related to production problems at
a timber processing plant. Since the beginning of the second industrial revolution, one …