(364aa) Identifying Cost Saving Opportunities through Coordinating Deliveries to Vendor-Managed Inventory Customers

Supply chain operations are a key cost driver in today's competitive landscape. I leverage mathematical modeling and design novel algorithms to tackle such challenges in areas such as inventory management, routing, and scheduling. My interest and expertise in this field compels me to develop solutions to achieve significant cost reductions and enhance operational efficiency. My current work involves finding optimal replenishment plants for Vendor-Managed Inventory Customers (VMICs) while accounting for variability due to Customer-Managed Inventory Customers (CMICs).

Research Interests: Supply Chain Optimization, Scheduling, Inventory Replenishment Planning, Robust Optimization, Multi-Period Capacity Expansion, Vehicle Routing

Current & Past Works

Identifying Cost Saving Opportunities through Coordinating Deliveries to Vendor-Managed Inventory Customers

• Developed a modular framework to identify expensive Vendor Managed Inventory customers and group Vendor Managed Inventory customers into clusters
• Calculated the optimal coordination using an MILP model to correlate each cluster’s delivery dates and quantities to reduce distribution costs
• Sampled and Simulated demands of VMICs and CMICs to estimate long-term distribution costs

Optimizing Multi-Tasking Scheduling Problems with a Matheuristic Framework under uncertainty

• Designed and implemented a hybrid mathaheuristic algorithm using simulated annealing and customized moves for candidate solutions
• Augmented the model to provide robust solutions under multi-stage decision dependent uncertainty