Country & State Evaluation for a
North American Onshoring Initiative
Validation of a manufacturing onshoring decision
How a Global Electrical Manufacturer Evaluated U.S. vs. Mexico for Reshoring
When a multinational electrical equipment manufacturer sought to transfer select operations from Asia to North America, it required a data-driven framework to evaluate country and state-level viability.
The Challenge
The client needed to:
- Transfer selected manufacturing operations from Asia to North America
- Identify viable U.S. and Mexico locations for brownfield heavy manufacturing
- Ensure labor availability and technical depth
- Validate industrial power and infrastructure capacityModel total operating cost exposure
- Assess USMCA origin qualification and tariff implications
- Maintain long-term operational stability and scalability
This was not a simple cost comparison. It required a structured decision framework aligned with executive priorities.
- 1. Pre-Selection
- 2. "Must-Haves"
- 3. Cost Model
- 4. USMCA Analysis
- 5. Decision
Pre-Selection & Industrial Ecosystem Screening
Nine states were shortlisted based on:
United States
- Kentucky
- Tennessee
- West Virginia
- Ohio
- Indiana
- Illinois
Mexico
- Nuevo León
- Coahuila
- Chihuahua
Selection criteria included:
- Industrial ecosystem robustness
- Supplier footprint proximity
- Strategic logistics corridors
- Heavy-manufacturing suitability
“Must-Have” Operational Evaluation
Each location was evaluated against non-negotiable operational drivers:
- Labor availability & absorption capacity
- Manufacturing skill base depth
- Power availability & electrical infrastructure
- Supplier proximity
- Customer distance
- Industrial zoning & permitting efficiency
- Brownfield readiness for heavy manufacturing
- Total operating cost structure
A structured scoring model (1–3 scale) ensured objective comparison across all states.
Total Cost Modeling (Steady-State Simulation)
Rather than comparing unit prices in isolation, Prodensa built a normalized manufacturing scenario using standardized assumptions:
Operational Assumptions Modeled
- 100 lower-skilled roles
- 50 skilled manufacturing roles
- 50 engineering roles
- 150,000 sq. ft. facility
- 250,000 kWh electricity
- 2,500 MMBTU gas
- 5,000 m³ water usage
- Multi-state inbound/outbound logistics flows
This enabled:
- Real monthly operating cost comparison
- Cost driver visibility
- Total exposure modeling
- Cross-country cost differential analysis
USMCA Origin & Tariff Qualification Analysis
A dedicated USMCA review was conducted for the product category:
- Finished goods classification
- Bill of Materials origin breakdown
- Product-Specific Rules of Origin (Annex 4-B)
- Tariff shift validation
- Article 4.2, 4.3, and accumulation analysis
- Substantial transformation review
Key Finding:
The evaluated products qualified as originating goods under USMCA and were eligible for preferential tariff treatment when produced within the USMCA region.
This ensured tariff risk mitigation in the event of relocation to Mexico.
Weighted Executive Decision Framework
A Weighted Pugh Matrix was applied, prioritizing variables based on strategic importance:
- Operational Cost (35%)
- Labor Availability (15%)
- Manufacturing Skill Base (15%)
- Supplier Proximity (10%)
- Customer Distance (10%)
- Infrastructure & Zoning Variables
This allowed leadership to align the final decision with business priorities rather than raw cost alone.
The Approach
Pre-Selection & Industrial Ecosystem Screening
Nine states were short-listed:
- Kentucky
- Tennessee
- West Virginia
- Ohio
- Indiana
- Illinois
- Nuevo León
- Coahuila
- Chihuahua
- Industrial ecosystem robustness
- Supplier footprint proximity
- Strategic logistics corridors
- Heavy-manufacturing suitability
"Must-Haves" Operational Evaluation
Each location was evaluated against non-negotiable operational drivers:
- Labor availability & absorption capacity
- Manufacturing skill base depth
- Power availability & electrical infrastructure
- Supplier proximity
- Customer distance
- Industrial zoning & permitting efficiency
- Brownfield readiness for heavy manufacturing
- Total operating cost structure
A structured scoring model (1–3 scale) ensured objective comparison across all states.
Total Cost Modeling (Steady-State Simulation)
Rather than comparing unit prices in isolation, Prodensa built a normalized manufacturing scenario using standardized assumptions:
Operational Assumptions Modeled
- 100 lower-skilled roles
- 50 skilled manufacturing roles
- 50 engineering roles
- 150,000 sq. ft. facility
- 250,000 kWh electricity
- 2,500 MMBTU gas
- 5,000 m³ water usage
- Multi-state inbound/outbound logistics flows
This enabled:
- Real monthly operating cost comparison
- Cost driver visibility
- Total exposure modeling
- Cross-country cost differential analysis
USMCA Origin & Tariff Qualification Analysis
A dedicated USMCA review was conducted for the product category:
- Finished goods classification
- Bill of Materials origin breakdown
- Product-Specific Rules of Origin (Annex 4-B)
- Tariff shift validation
- Article 4.2, 4.3, and accumulation analysis
- Substantial transformation review
Key Finding:
The evaluated products qualified as originating goods under USMCA and were eligible for preferential tariff treatment when produced within the USMCA region.
This ensured tariff risk mitigation in the event of relocation to Mexico.
Weighted Executive Framework
A Weighted Pugh Matrix was applied, prioritizing variables based on strategic importance to the client. This allowed leadership to align the final decision with business priorities rather than raw cost alone.

The Results
Mexico emerged as a highly competitive alternative.
From a cost and operational standpoint:
- Mexican states demonstrated lower total operating cost exposure
- Strong industrial labor depth in selected regions
- Competitive supplier regionalization potential
- Brownfield readiness and heavy-manufacturing suitability
- USMCA compliance validated
However:
Both the United States and Mexico remained viable platforms. The final decision depended on the client’s priority weighting—cost optimization vs. labor dynamics vs. supply chain resilience vs. long-term scalability.
Strategic Outcome
The client received:
- A structured executive decision model
- Total cost visibility across nine states
- USMCA origin validation
- Risk-adjusted operational comparison
- A replicable site-selection framework
Should Mexico be selected, a secondary site-level deep dive was recommended for precise location optimization.
Onshoring decisions are no longer based on wages alone.
They require:
- Trade agreement validation
- Total cost modeling
- Infrastructure reliability
- Skilled labor pipeline analysis
- Logistics footprint integration
- Risk-adjusted scoring frameworks
This case demonstrates how structured methodology replaces anecdotal site selection.





