An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management
This article delves into the challenging supply chain management domain, explicitly
addressing the intricate issue of perishable inventory allocation within a two-echelon supply …
addressing the intricate issue of perishable inventory allocation within a two-echelon supply …
Data-driven dynamic pricing and inventory management of an omni-channel retailer in an uncertain demand environment
In recent years, omni-channel retailing has become immensely popular among both retailers
and consumers. In this approach, retailers often leverage their brick-and-mortar stores to …
and consumers. In this approach, retailers often leverage their brick-and-mortar stores to …
Deep Reinforcement Learning Algorithms for Dynamic Pricing and Inventory Management of Perishable Products
ABSTRACT A perishable product has a limited shelf life, and inefficient management often
leads to waste. This paper focuses on dynamic pricing and inventory management …
leads to waste. This paper focuses on dynamic pricing and inventory management …
A proximal policy optimization approach for food delivery problem with reassignment due to order cancellation
Unexpected cancellation of food delivery orders poses significant challenges to resource
allocation planning and could lead to reduced revenue for service providers. This paper …
allocation planning and could lead to reduced revenue for service providers. This paper …
Dynamic replenishment policy for perishable goods using change point detection-based soft actor-critic reinforcement learning
A Kou, Y Cheng, X Huang, J ** - Expert Systems with Applications, 2025 - Elsevier
This paper examines the problem of establishing a dynamic replenishment policy that
minimizes the costs associated with selling perishable goods. The perishable inventory is …
minimizes the costs associated with selling perishable goods. The perishable inventory is …
Reinforcement Learning for Dynamic Pricing under Competition for Perishable Products
Dynamic pricing strategies, which adapt prices based on external influences, have gained
prominence in various industries. This approach involves frequent adjustments in response …
prominence in various industries. This approach involves frequent adjustments in response …
Reinforcement learning for dynamic pricing and capacity allocation in monetized customer wait-skip** services
C Garcia - Journal of Business Analytics, 2024 - Taylor & Francis
We consider how to facilitate a dynamically-priced premium service option that enables
customer parties to shorten their wait in a queue. Offering such a service requires that some …
customer parties to shorten their wait in a queue. Offering such a service requires that some …
Sustainable supply chain management: A green computing approach using deep Q-networks
D Yuan, Y Wang - Sustainable Computing: Informatics and Systems, 2025 - Elsevier
This paper addresses the challenges of resource allocation and inventory management in
supply chain systems by constructing an intelligent supply chain optimization model based …
supply chain systems by constructing an intelligent supply chain optimization model based …
By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement Learning
In the rapidly evolving landscape of eCommerce, Artificial Intelligence (AI) based pricing
algorithms, particularly those utilizing Reinforcement Learning (RL), are becoming …
algorithms, particularly those utilizing Reinforcement Learning (RL), are becoming …
Collaborating in a competitive world: Heterogeneous Multi-Agent Decision Making in Symbiotic Supply Chain Environments
W Wang, H Wang, AJ Sobey - arxiv preprint arxiv:2501.14111, 2025 - arxiv.org
Supply networks require collaboration in a competitive environment. To achieve this, nodes
in the network often form symbiotic relationships as they can be adversely effected by the …
in the network often form symbiotic relationships as they can be adversely effected by the …