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BCG Medium Cost Reduction Operations Capacity Optimization

Steel Co.

#Manufacturing
ProHub Comment

This case tests operational analytics and capacity optimization skills by requiring the candidate to analyze multiple transportation modes and identify inefficiencies through data interpretation. The key insight involves recognizing that high truck utilization masks an inventory management problem caused by vessel loading constraints, requiring creative problem-solving beyond simple cost-per-ton analysis.

Estimated Time 26 minutes
Difficulty Medium
Source NYU
38 / 100
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

Clarifying Information

  1. Operates internationally in 100+ countries (the candidate should realize this given use of vessels and barges)
  2. Customers are predominantly large B2B manufacturers who the company enjoys both short and long-term contracts with
  3. For this case, assume steel is only manufactured as coils
  4. Objective is to identify cost saving with no particular target
Mock Interview
Interviewer

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

You

Thanks. Before analyzing, I'd like to clarify a few key questions...

Interviewer

Good question. Let me provide some background information...

You

Based on this, I suggest analyzing from these dimensions...

AI Score
Structure Analysis Communication Business Sense Quantitative
Practicing...
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Practice this case with AI Mock Interview

A steel manufacturing company seeks cost savings across four transportation methods (rail, truck, barge, vessel) and immediate cost reduction opportunities. Analysis reveals $7.3M in potential savings from capacity optimization and an additional $540K from improved inventory management by adjusting vessel KPIs from 100% to 95% utilization.

Key Insights:

  1. Cost saving potential calculated by multiplying unused capacity (100% - utilization%) by volume and cost per unit across each transportation method
  2. Vessels operate at 100% capacity but deliver infrequently (every 14 days), causing inventory buildup at pier that forces expensive truck usage for intermediate weeks
  3. Root cause analysis required: high truck utilization (75%) appears efficient but actually reflects poor inventory management rather than optimal operations
  4. KPI modifications (vessel utilization target from 100% to 95%) can reduce inventory backlog and shift volume from expensive trucks ($30/ton) to cheaper vessels ($10/ton)
  5. Interplay between exhibits demonstrates importance of examining operational data holistically rather than optimizing individual metrics in isolation