A review on reinforcement learning algorithms and applications in supply chain management
Decision-making in supply chains is challenged by high complexity, a combination of
continuous and discrete processes, integrated and interdependent operations, dynamics …
continuous and discrete processes, integrated and interdependent operations, dynamics …
Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities
With advances in technologies, data science techniques, and computing equipment, there
has been rapidly increasing interest in the applications of reinforcement learning (RL) to …
has been rapidly increasing interest in the applications of reinforcement learning (RL) to …
Applications of artificial intelligence in inventory management: A systematic review of the literature
Today, companies that want to keep up with technological development and globalization
must be able to effectively manage their supply chains to achieve high quality, increased …
must be able to effectively manage their supply chains to achieve high quality, increased …
Applications of deep learning into supply chain management: a systematic literature review and a framework for future research
F Hosseinnia Shavaki… - Artificial Intelligence …, 2023 - Springer
In today's complex and ever-changing world, Supply Chain Management (SCM) is
increasingly becoming a cornerstone to any company to reckon with in this global era for all …
increasingly becoming a cornerstone to any company to reckon with in this global era for all …
Smart master production schedule for the supply chain: a conceptual framework
Risks arising from the effect of disruptions and unsustainable practices constantly push the
supply chain to uncompetitive positions. A smart production planning and control process …
supply chain to uncompetitive positions. A smart production planning and control process …
Optimization of apparel supply chain using deep reinforcement learning
JW Chong, W Kim, J Hong - IEEE Access, 2022 - ieeexplore.ieee.org
An effective supply chain management system is indispensable for an enterprise with a
supply chain network in several aspects. Especially, organized control over the production …
supply chain network in several aspects. Especially, organized control over the production …
Improving lead time forecasting and anomaly detection for automotive spare parts with a combined CNN-LSTM approach
A Amellal, I Amellal, H Seghiouer… - … and Supply Chain …, 2023 - journal.oscm-forum.org
This paper presents a solution to a challenge faced in the supply chain management of a
spare parts distributor with a dispersed global supply network and local distribution network …
spare parts distributor with a dispersed global supply network and local distribution network …
IACPPO: A deep reinforcement learning-based model for warehouse inventory replenishment
R Tian, M Lu, H Wang, B Wang, Q Tang - Computers & Industrial …, 2024 - Elsevier
Inventory cost is a significant factor in Supply Chain Management (SCM), and an effective
replenishment strategy can reduce warehouse operation costs. However, traditional …
replenishment strategy can reduce warehouse operation costs. However, traditional …
Reinforcement Learning for Optimizing Can-Order Policy with the Rolling Horizon Method
J Noh - Systems, 2023 - mdpi.com
This study presents a novel approach to a mixed-integer linear programming (MILP) model
for periodic inventory management that combines reinforcement learning algorithms. The …
for periodic inventory management that combines reinforcement learning algorithms. The …
Repair part service level differentiation based on holding other parts shortage costs
J Maleyeff, J Xu - Journal of Quality in Maintenance Engineering, 2024 - emerald.com
Purpose The article addresses the optimization of safety stock service levels for parts in a
repair kit. The work was undertaken to assist a public transit entity that stores thousands of …
repair kit. The work was undertaken to assist a public transit entity that stores thousands of …