1 citations · 2 across the 5 of their papers we have counts for
6 papers
A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics
Xian Yeow Lee, Teppei Inoue, Haiyan Wang +1
Efficient utilization of supply chain analytics for decision making remains a significant challenge for planners, as critical tasks such as database querying, key performance indic…
Multi-Agent Decision Transformers for Dynamic Dispatching in Material Handling Systems Leveraging Enterprise Big Data
Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata +2
Dynamic dispatching rules that allocate resources to tasks in real-time play a critical role in ensuring efficient operations of many automated material handling systems across ind…
Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems
Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata +2
This paper proposes a multi-agent reinforcement learning (MARL) approach to learn dynamic dispatching strategies, which is crucial for optimizing throughput in material handling sy…
Equipment Health Assessment: Time Series Analysis for Wind Turbine Performance
Jana Backhus, Aniruddha Rajendra Rao, Chandrasekar Venkatraman +3
In this study, we leverage SCADA data from diverse wind turbines to predict power output, employing advanced time series methods, specifically Functional Neural Networks (FNN) and…
Predictive Analysis for Optimizing Port Operations
Aniruddha Rajendra Rao, Haiyan Wang, Chetan Gupta
Maritime transport is a pivotal logistics mode for the long-distance and bulk transportation of goods. However, the intricate planning involved in this mode is often hindered by un…
Optimal Load Shedding for Public Safety Power Shutoffs
Aniruddha Rajendra Rao, Chandrasekar Venkatraman, Robert Ellis +1
Public utilities are faced with situations where high winds can bring trees and debris into contact with energized power lines and other equipments, which could ignite wildfires. A…