OUR PROJECTS
Discover our projects that integrate machine learning (ML) and artificial intelligence (AI) into supply chain management, enhancing efficiency, accuracy, and innovation for real-world applications. Join us in exploring these advancements!
TYPES
1
INDEPENDENT
PROJECTS
Members are allowed to conduct and create independent projects, individually or in teams. They will be supported by the club, helped with resources and receive certification in the end from the club.
2
CLUB
PROJECTS
Certain projects have been planned in the club. These projects are going to be conducted throughout club meetings or work sessions in a rolling basis.
Check them out below.
01
Deep Learning Demand & Supply Forecasting & Production Model
Uses deep learning techniques to analyze historical data, including sales trends and production capacities. It provides accurate forecasts to optimize production schedules, align supply with demand, reduce waste, and improve overall efficiency. This model is especially useful in complex supply chains, offering a data-driven approach where traditional methods may fall short.
02
Supply Chain Risk Management System
Designed to identify, assess, and mitigate risks within the supply chain. Using advanced analytics, this system monitors various risk factors such as supplier reliability, geopolitical issues, and market fluctuations. By providing real-time insights and predictive alerts, it helps businesses proactively address potential disruptions, ensuring continuity and resilience in supply chain operations. This system is particularly valuable in complex, global supply chains where managing risks is crucial to maintaining operational efficiency and protecting against unexpected challenges.
03
The IoT-Based Inventory Management
Leverages Internet of Things (IoT) technology to track and manage inventory in real time. By connecting sensors and smart devices across the supply chain, this system provides continuous visibility into inventory levels, location, and movement. It enables businesses to automate stock monitoring, optimize replenishment processes, and reduce manual errors. The system also enhances decision-making by offering data-driven insights, ensuring that inventory is efficiently managed to meet demand while minimizing costs and stockouts. This approach is particularly beneficial in dynamic environments where accurate and timely inventory information is critical.
04
Optimal Automatic Production, Inventory and Route Scheduling
Designed to streamline supply chain operations by simultaneously optimizing production schedules, inventory levels, and distribution routes. This system uses advanced algorithms and real-time data to balance production demands with inventory availability while ensuring efficient delivery routes. By automating these processes, businesses can minimize production downtime, reduce inventory costs, and enhance delivery speed. This integrated approach is particularly valuable in complex, fast-paced environments where manual scheduling would be less effective, allowing for greater efficiency and cost savings across the supply chain.
