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Innovation · Product Strategy · Manufacturing Consulting · Melbourne, est. 2013 1300 765 926info@polyconint.comBook an obligation-free discussion

Design of Experiments (DOE)

Find the optimum settings with the fewest trials.

Six Sigma

Changing one factor at a time is slow and misses interactions. Design of Experiments tests multiple factors efficiently to reveal what really drives your output. We design, run and analyse DOEs to find robust, optimal settings.

What’s included

Factor and response selection
Screening and full factorial designs
Response surface optimisation
Taguchi robust design
Statistical analysis and modelling
Confirmation runs

What you receive

01Experiment plan
02Analysis and model
03Optimal settings
04Confirmation results

Benefits

Faster optimisation

Answers in fewer trials.

Interactions revealed

Hidden factor effects uncovered.

Robust processes

Settings that tolerate noise.

Where this fits in the process

DMAIC problem-solving flow
  1. 01
    ◆ TollgateDefineProblem, goal and charter
  2. 02
    ◆ TollgateMeasureBaseline and MSA
  3. 03
    ◆ TollgateAnalyseRoot causes proven
  4. 04
    ◆ TollgateImproveSolutions piloted
  5. 05
    ◆ TollgateControlSPC and control plan
StageDecision gate / approval
Typical scope for Six Sigma

Individual DMAIC projects over 3–6 months, or targeted capability studies in 2–4 weeks.

Hybrid: on-site data collection, remote analysis and reviews. Every engagement starts with a free consultation and a fixed-scope proposal.

Start a conversation

Let’s turn your next idea into a market-ready product.

Whether it’s a bold new product, a strategy that needs sharpening or an operation that should be doing more, a conversation with a senior consultant is the fastest way to find out what’s possible.

  • Free initial consultation with a senior engineer
  • Response within one business day
  • Confidentiality and NDA available on request
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