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McKinsey Hard Operations Profitability Cost Reduction Supply Chain Optimization

US Manufacturing

#Manufacturing #Retail #Apparel & Footwear #Transportation

Practice this advanced operations case interview question from McKinsey in the Manufacturing sector. Includes detailed problem prompt, clarifying questions, structured framework, and expert recommendation. Part of ProHub's 835+ consulting case library.

ProHub Comment

This case effectively integrates both qualitative strategic considerations (factors for onshore/offshore) and quantitative analysis, progressing from basic unit profitability to a more advanced total landed cost model that accounts for demand volatility and holding costs. This multi-faceted approach is critical for real-world supply chain decisions.

Estimated Time 36 minutes
Difficulty Hard
Source Wharton
54 / 100
A major U.S. shoe manufacturer is currently manufacturing its entire product line domestically. Because of increased labor costs and competitive pressure, the manufacturer is now interested in understanding whether it should offshore some or all of its production and, if so, where it should offshore to and what percent of its total product line should be manufactured onshore vs. offshore. What factors should the client consider as it compares onshore to offshore manufacturing?

Clarifying Information

  1. What other products does the client currently sell besides shoes? The client currently specializes in shoe manufacturing, but also manufactures some apparel as well.
  2. Where else does the client currently sell its products besides the U.S.? The client currently sells its products in developed markets (North America, Europe, and Australia)
  3. What are competitors, both domestic and foreign, currently doing with respect to onshoring / offshoring? Most of the clients’ competitors currently do not offshore their production due to manufacturing and managerial complexity.
  4. Outside of the U.S., in which markets are shoes typically manufactured? Where are high-quality shoes manufactured? Lower quality shoes tend to be manufactured in China, Southeast Asia, and Central America, high quality ones in Eastern Europe.
Mock Interview
Interviewer

A major U.S. shoe manufacturer is currently manufacturing its entire product line domestically. Because of increased labor costs and competitive pressure, the manufacturer is now interested in understanding whether it should offshore some or all of its production and, if so, where it should offshore to and what percent of its total product line should be manufactured onshore vs. offshore. What factors should the client consider as it compares onshore to offshore manufacturing?

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
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Practice this case with AI Mock Interview

This case involves a U.S. shoe manufacturer evaluating offshoring a portion of its production to Vietnam due to rising domestic costs. The analysis moves from a unit profitability comparison, identifying higher profit in Vietnam, to a sophisticated total landed cost model incorporating demand volatility and holding costs to determine the optimal offshore fraction. The final recommendation is to offshore 80% of production to Vietnam, retaining 20% in the U.S. as a hedge.

Key Insights:

  1. Unit profitability alone may not be sufficient for offshore decisions; lead time, demand volatility, and holding costs are crucial.
  2. Quantitative models like the one for “Offshored fraction” can provide data-driven recommendations for supply chain optimization.
  3. Balancing cost savings with supply chain risks (e.g., quality, transportation, tariffs, volatility) is essential.
  4. A mixed manufacturing strategy (onshore/offshore) can serve as a hedge against market uncertainties.
  5. Sensitivity analysis on key assumptions (e.g., volatility, cost of capital) is vital for robust recommendations.

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