This is an operations optimization case requiring candidates to analyze transportation logistics across four modes and identify capacity utilization inefficiencies. The case demonstrates how seemingly independent data points (high truck usage) can reveal deeper operational issues (vessel scheduling constraints) that offer significant cost savings opportunities. Strong performance requires connecting exhibits to operational insights and recognizing KPI misalignment as a root cause.
Our client is a steel manufacturing company in the Netherlands. They are considering investing in an advanced analytics tool that will help them better predict inventory schedule. They are also looking at immediate methods to save costs and would like your help with the following:
A) Steel coils are currently transported from the factory to customers via Railways, Trucks, Vessels and Barges. They would like us to analyze these four methods, and suggest any opportunities for cost saving
B) Suggest any alternative techniques to save cost in the immediate future