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Easy Operations

Bumpers R Us

#Manufacturing

Practice this beginner-friendly operations case interview question from Kearney 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 is a well-structured operations case focused on process bottleneck identification and optimization. The case tests candidates' ability to analyze a multi-stage manufacturing process, identify the constraint (Painting stage at 16 hours), and recommend cost-effective solutions that meet specific targets. The interviewer-led format allows flexibility in how candidates approach the problem while maintaining clear evaluation criteria.

Estimated Time 16 minutes
Difficulty Easy
Source Duke
42 / 100
Your client is Bumpers-R-Us, a manufacturer of plastic automotive bumpers. Bumpers-R-Us is a Tier-1 supplier for a major global OEM called CNW and is based in the southeastern United States. The client receives raw materials from around the world, which are then used in its plant to produce the plastic bumpers. The bumpers are shipped by truck 360 miles away to the local CNW plant. Bumpers-R-Us has been a Tier-1 supplier to CNW for over 5 years, but over the past 6 months, the client has seen an increase in the amount of time it takes for parts to arrive at the CNW plant. CNW has issued a warning of potential fines and loss of future contracts if the lead time is not returned to the previous levels. Bumpers-R-Us is eager to find the source of the change in lead time and fix the issue as soon as possible.

Clarifying Information

  1. Bumpers-R-Us is a domestic supplier that purchases raw materials from around the world and supplies solely to the local CNW plant.
  2. The client profited $25M last year, with $10M in costs.
  3. The manufacturing process consists of four stages: molding of plastic parts from raw materials, painting of molded parts, the bonding & assembly of the bumpers (Bonding/Assembly), and the shipment between the manufacturer and CNW.
  4. The pre-6 month lead time was 29 hours.
  5. The General Manager of the plant has directed a budget of up to $5M be dedicated to addressing the lead time issue.
Mock Interview
Interviewer

Your client is Bumpers-R-Us, a manufacturer of plastic automotive bumpers. Bumpers-R-Us is a Tier-1 supplier for a major global OEM called CNW and is based in the southeastern United States. The client receives raw materials from around the world, which are then used in its plant to produce the plastic bumpers. The bumpers are shipped by truck 360 miles away to the local CNW plant. Bumpers-R-Us has been a Tier-1 supplier to CNW for over 5 years, but over the past 6 months, the client has seen an increase in the amount of time it takes for parts to arrive at the CNW plant. CNW has issued a warning of potential fines and loss of future contracts if the lead time is not returned to the previous levels. Bumpers-R-Us is eager to find the source of the change in lead time and fix the issue as soon as possible.

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

Bumpers-R-Us, a Tier-1 automotive supplier, has experienced increased lead times to its major customer CNW over the past 6 months. The company needs to identify the bottleneck in its manufacturing process (molding, painting, bonding/assembly, and transportation) and implement solutions within a $5M budget to return to the previous 29-hour lead time. The painting stage is the primary constraint at 16 hours, and the optimal recommendation combines robot replacement ($3.5M for 3 hours savings) and software upgrade ($1.5M for 5 hours savings) to achieve the target.

Key Insights:

  1. Bottleneck analysis is critical: The painting stage consumes 43% of total lead time (16 of 37 hours), making it the primary focus for improvement
  2. Constraint optimization within budget: The recommendation demonstrates efficient capital allocation by combining two initiatives ($5M total) that together achieve the target while avoiding more expensive single solutions
  3. Trade-offs matter: Adding a third shift ($6.5M) or a new robot ($5M alone) would exceed budget or fall short of targets, illustrating the importance of integrated solutions
  4. Quantitative rigor required: Candidates must calculate current lead time (37 hours) and transportation time (6 hours) to properly identify the bottleneck

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