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Design for Assembly (DFA): Simplify Product Structure to Cut Total Cost

DFA is the repeatable way to reduce assembly time, defects, and total product cost—by designing out parts and making assembly steps easier, more consistent, and less error-prone.

Core lever: Complexity reduction. In many products, the biggest wins come from part-count reduction—because fewer parts means fewer operations, fewer interfaces, and fewer opportunities for something to go wrong.

What is Design for Assembly?

Design for Assembly (DFA) is a methodology and set of tools used to analyze and reduce the assembly complexity of a product. It helps teams understand where time and cost accumulate during assembly—and where parts can be eliminated or combined without sacrificing required function.

DFA is most powerful when applied early: architectural choices lock in a large share of total cost long before a design reaches production.

Key takeaway #1
  • Fewer parts usually means lower labor, fewer defects, and simpler service.
Key takeaway #2
  • Minimum part criteria creates a repeatable decision test for consolidation.
Key takeaway #3
  • Quantify, then redesign. DFA compares iterations so teams converge faster.

On this page

  1. Benefits of DFA
  2. Why assembly labor matters
  3. Core DFA principles
  4. Minimum part criteria
  5. Quantified redesign example
  6. Real-world results
  7. How to execute DFA
  8. How to implement in your org
  9. FAQ

Benefits: reduce total cost and improve reliability

DFA improves competitiveness by simplifying product structure so assembly becomes faster, more consistent, and less prone to errors. Unlike cost-reduction approaches that only target individual part prices, DFA targets total product cost by reducing: handling, fastening, alignment effort, inspection, and rework.

Cost outcomes
  • Lower assembly labor content
  • Reduced indirect/overhead load from fewer steps
  • Fewer secondary operations and inspections
  • Less rework and scrap from mistakes
Quality outcomes
  • Fewer interfaces and failure points
  • Reduced warranty/service complexity
  • More consistent build outcomes
  • Simpler training and work instructions

Why assembly labor matters

A common cost-reduction reflex is to make individual parts cheaper. That can help—but it can also backfire if it increases part count or adds difficult assembly operations (alignment, holding against forces, small fasteners, awkward access).

DFA makes these time sinks visible and measurable so redesign decisions focus on the few changes that move the needle most.

Fewer
parts → fewer operations → fewer error modes → lower total cost.

Core DFA principles

Use this checklist to spot high-impact simplification opportunities:

Architecture
  • Reduce part count by combining non-essential separate parts
  • Eliminate fasteners where feasible (snap-fits, tabs, self-retaining features)
  • Standardize components and reduce unique variants
  • Minimize secondary operations and inspection steps
Assembly execution
  • Design parts for easy handling (avoid tiny, flexible, slippery items)
  • Design for easy orientation (symmetry or clear asymmetry)
  • Minimize re-orientation (reduce flips/rotations)
  • Mistake-proof with poka-yoke features

Minimum part criteria: the method for "no part"

"Reduce part count" is easy to say and hard to do consistently. Minimum part criteria turns simplification into a repeatable decision test: does this part fundamentally need to be separate?

1) Material / process
  • Different material/process is required (insulation, wear, sealing, heat, conductivity, chemistry)
2) Relative motion
  • Part must move relative to other parts to perform its function
3) Assembly / service
  • Must remain separate to enable assembly sequence, serviceability, or adjustment

If a part fails to justify itself on these fundamentals, it becomes a prime candidate to combine or eliminate—then you validate constraints and quantify impact.

Quantified redesign example: IDEXX Catalyst Dx®

Medical device subassembly — 83% part reduction

At IDEXX Laboratories, R&D engineer Justin Griffin used DFMA software to redesign the Maintenance Access Door (MAD) subassembly on their Catalyst Dx® Chemistry Analyzer. The original design contained 183 parts and 63 torque-specified fasteners—each requiring a worker to tighten and mark it. By applying minimum part criteria, Griffin identified injection-molded plastics as the best substitute for sheet metal and fasteners, consolidating a 43-part main panel into a single molded piece with snap and slip fits.

Parts

183 → 31

Fasteners

63 → 0

Assembly time

45 → 11 min

Weight

5.8 → 3.5 lbs

Original IDEXX MAD subassembly with 183 parts and 63 fasteners
Original: 183 parts, 63 fasteners
Redesigned IDEXX MAD subassembly with 31 parts and zero fasteners
Redesign: 31 parts, zero fasteners
Metric Original DFMA Redesign Change
Number of parts 183 31 83% reduction
Fasteners 63 0 100% eliminated
Assembly cost $622 $384 38% reduction
Assembly time 45 min 11 min 75% reduction
Alignment time 11 min 3 min 73% reduction
Weight 5.8 lbs 3.5 lbs 40% reduction
DFA Index 3.8 35.8 842% improvement
Out-of-box failures (loose hardware) Possible No hardware Eliminated
Read the full IDEXX case study →
0
fasteners remaining. Snap and slip fits replaced all 63 torque-specified screws—eliminating out-of-box failures from loose hardware entirely.

Real-world DFA results

Published DFMA case studies consistently show that systematic part-count reduction delivers large, measurable improvements. Here are documented results from named companies across industries:

ITT Aerospace — ball valve
  • 55% part count reduction, 58% labor reduction
  • 24% total product cost reduction
  • Production throughput doubled
Read ITT case study →
Southco — hinge redesign
  • 33% part count reduction
  • 53% total cost reduction
  • Enabled Southco to meet customer price target and improve profitability
Hypertherm — CNC metal cutter
  • 27% part count reduction while adding features
  • 50% decrease in build and test time
  • Projected 50% warranty cost savings per unit
Rockwell Automation
  • 60% part count reduction on an example redesign
  • Used Six Sigma to validate the statistical relationship between DFA metrics and factory outcomes
Multinational financial systems OEM
  • 53% reduction in service call requirements
  • Projected >$3M annual savings from a single machine redesign
Read case study →
Motorola Quality Institute
  • Avg. 35% part count reduction on new products
  • Single 90-day session: 30% reduction (consumer electronics), 41% (TV), 57% (server)

Actual results vary by constraints, baseline design, and organizational readiness. DFA is most powerful when applied early and iterated with quantified comparisons. See all published case studies.

Part count reduction — published case studies Each bar shows the percentage of parts eliminated through DFMA redesign IDEXX 83% Medical devices Rockwell 60% Industrial controls Motorola 57% Server electronics ITT Aero 55% Aerospace valves Southco 33% Hardware (hinges) Hypertherm 27% CNC equipment Source: published presentations and case studies at dfma.com. Actual results vary by product and constraints. 0% 50% 100%

How to execute DFA: a practical workflow

Step 1
  • Baseline the current design (part count, assembly sequence, time drivers)
Step 2
  • Apply minimum part criteria to identify consolidation/elimination candidates
Step 3
  • Redesign the high-impact candidates first (fasteners, alignment-heavy ops, multi-piece housings)
Step 4
  • Compare iterations side-by-side; validate constraints (service, strength, tolerances, regulations)

To reduce total product cost (not just time), combine DFA with DFM should-cost analysis. Learn more about DFMA Product Simplification.

Implementing DFA in your organization

Teams get the best results when DFA becomes a standard review step—supported by training, a consistent method, and measured outcomes.

Adoption
  • Run DFA reviews early (concept + pre-design freeze)
  • Make it cross-functional (design + manufacturing + assembly)
  • Standardize outputs (baseline metrics + top redesign candidates)
Measurement
  • Track part count, assembly time, defects/rework, and service impacts
  • Capture before/after comparisons to build internal credibility
  • Use small wins to scale across programs

Frequently asked questions

What is Design for Assembly (DFA)?

DFA is a product development approach that simplifies product structure to reduce assembly effort—often by reducing part count, eliminating unnecessary fasteners, and improving handling and orientation during assembly.

How is DFA different from DFM and DFMA?

DFA focuses on reducing assembly time and complexity. DFM focuses on designing parts that are easy and economical to manufacture. DFMA combines both perspectives to optimize total product cost and producibility.

What is minimum part criteria?

It's a structured test that challenges whether a part must be separate for fundamental reasons: different material/process, required relative motion, or necessary separation for assembly/service/adjustment.

When should we apply DFA?

As early as possible—during concept and early CAD iterations—before the design is locked and tooling or supplier commitments are made.

How does DFA software help?

DFA software quantifies assembly effort, highlights high-impact simplification opportunities, and supports side-by-side comparison of redesign iterations so teams can converge faster and standardize results.

Does DFA always reduce cost by 50%?

Results vary by product, baseline complexity, and constraints. Many organizations achieve meaningful reductions in part count and assembly time when simplification opportunities exist, but the exact savings depend on the starting design and manufacturing context.

Want to see DFA applied to your product?

Bring a "painful" subassembly (fasteners, alignment, rework). We'll show how minimum part criteria identifies consolidation candidates and quantifies the impact.