An application of deep reinforcement learning and vendor-managed inventory in perishable supply chain management

N Mohamadi, STA Niaki, M Taher… - Engineering Applications of …, 2024 - Elsevier
This article delves into the challenging supply chain management domain, explicitly
addressing the intricate issue of perishable inventory allocation within a two-echelon supply …

Inventory and financing decisions in cross-border e-commerce: The financing and information roles of a bonded warehouse

L Song, Y Chen, B Zhang, M Zhu - Expert Systems with Applications, 2024 - Elsevier
Cross-border retail firms are often exposed to a lack of working capital for their procurement,
especially for sudden increases in demand on special holidays such as Black Friday. This …

A supply chain inventory management method for civil aircraft manufacturing based on multi-agent reinforcement learning

M Piao, D Zhang, H Lu, R Li - Applied Sciences, 2023 - mdpi.com
Effective supply chain inventory management is crucial for large-scale manufacturing
industries such as civil aircraft and automobile manufacturing to ensure efficient …

[HTML][HTML] Contextual reinforcement learning for supply chain management

A Batsis, S Samothrakis - Expert Systems with Applications, 2024 - Elsevier
Efficient generalisation in supply chain inventory management is challenging due to a
potential mismatch between the model optimised and objective reality. It is hard to know how …

Novel AI-Powered Dynamic Inventory Management Algorithm in the USA: Machine Learning Dimension

MZ Islam, N Gurung, MS Gazi - Journal of Economics …, 2024 - al-kindipublisher.com
Dynamic inventory management revolves around the practice of progressively modifying
inventory degrees to adapt to fluctuations in client demand, production, and supply chain …

Predictive analytics to improve inventory performance: a case study of an FMCG Company

P Suwignjo, L Panjaitan, AR Baihaqy… - … and Supply Chain …, 2023 - journal.oscm-forum.org
Predictive analytics is a methodology used to predict the outcome of future events with the
use of historical data. Predictive analytics comes in very handy in various fields such as …

Circular Economy and Supply Chain Sustainability

R Karim, M Roshid, A Waaje - Strategic Innovations for Dynamic …, 2024 - igi-global.com
Pollution, climate change, and the loss of natural resources are still major concerns that
must be addressed immediately. More and more, industries are realizing they need to …

Generative Probabilistic Planning for Optimizing Supply Chain Networks

H Ahn, S Olivar, H Mehta, YC Song - arXiv preprint arXiv:2404.07511, 2024 - arxiv.org
Supply chain networks in enterprises are typically composed of complex topological graphs
involving various types of nodes and edges, accommodating numerous products with …

Business Process Reengineering to Improve Supply Chain Management at Batik Semarang 16 Through Implementation of ERP Odoo

BS Nugroho, SM Salsiyah, AC Kumala… - Indonesian Journal of …, 2024 - ojs.uajy.ac.id
This study aims to design an improvement in the Supply Chain Management using the ERP
Odoo application. This research starts from conducting field studies on the research object …

Dimensiones estratégicas de sostenibilidad y resiliencia en la cadena de suministro de la empresa Aptiv

PCI Mejía, O Valenzuela-Valenzuela… - Economía & …, 2024 - revistas.unjbg.edu.pe
Se analizan las dimensiones estratégicas de la cadena de suministro de la empresa Aptiv,
como modelo de óptimo funcionamiento en la administración de inventarios y los flujos de …