This project aims to analyze cost drivers in supply chain operations and develop strategies to minimize operational expenses. It focuses on optimizing transportation, warehousing, and procurement processes using data-driven insights. The objective is to enhance efficiency, reduce waste, and improve overall profitability while maintaining service quality.
Identify major cost components in supply chain operations such as transportation, inventory holding, and warehousing.
Collect and analyze data from case studies or companies to understand cost trends.
Evaluate inefficiencies in logistics processes contributing to higher costs.
Apply cost reduction techniques like route optimization, bulk purchasing, and vendor negotiation.
Use tools like Excel or Power BI to visualize cost patterns and savings opportunities.
Develop a cost optimization model for a selected company or scenario.
Compare traditional vs optimized supply chain cost structures.
Assess risks associated with aggressive cost-cutting measures.
Suggest sustainable cost reduction strategies without impacting service quality.
Prepare a report with actionable recommendations for cost efficiency.
