A5018058991- Anaerobic Digestion and Biogas Production
- Supply Chain and Inventory Management
- Hybrid Renewable Energy Systems
- UAV Applications and Optimization
- Robotic Path Planning Algorithms
- Vehicle Routing Optimization Methods
- Stock Market Forecasting Methods
- Catalysts for Methane Reforming
- Hydrogen Storage and Materials
- Assembly Line Balancing Optimization
- Biofuel production and bioconversion
- Scheduling and Optimization Algorithms
- Microbial Metabolic Engineering and Bioproduction
- Forecasting Techniques and Applications
Pennsylvania State University
2022
Indian Institute of Technology Kharagpur
2005-2020
The use of Unmanned Aerial Vehicles (UAVs) in delivery logistics has become an efficient solution with the advancement autonomous robotics. This paper proposes a novel mechanism that synchronizes drones and trucks; particularly case where trucks can work as mobile launching retrieval sites. problem is Vehicle Routing Problem Time Windows Synchronized Drones. A multi-objective optimization model developed two conflicting objectives, minimizing travel costs maximizing customer service level...
In this modern era of digitization, the competition is significantly increasing among retailers. One major challenges for them demand prediction or sales forecasting. Especially in Covid pandemic, retail forecasting became very crucial due to employee shortage, and online demand. increasing. This research explores application an advanced deep learning approach predicting market demands advance individual products future seasons. aims support American Multinational Retail company ordering,...
Abstract In a high‐mix and low‐volume manufacturing facility, heterogeneous jobs introduce frequent reconfiguration of machines which increases the chance unplanned machine breakdowns. As are often nonidentical their performance degrades over time, it is critical to consider heterogeneity non‐stationarity during scheduling. We propose reinforcement learning‐based framework with novel sampling method train agent schedule on non‐stationary unreliable parallel minimize weighted tardiness. The...