Design for Six Sigma (DFSS) Project Audit Checklist

A comprehensive checklist to audit the implementation of Design for Six Sigma principles in product development projects, ensuring quality-driven design and robust product performance.

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About This Checklist

The Design for Six Sigma (DFSS) Project Audit Checklist is an essential tool for manufacturing companies implementing Six Sigma methodologies in their product development processes. This comprehensive checklist evaluates the application of DFSS principles throughout the design lifecycle, ensuring that quality is built into products from conception. By systematically assessing each phase of the DFSS process, organizations can minimize defects, optimize performance, and enhance customer satisfaction. This checklist is designed to validate the use of advanced design tools, statistical methods, and customer-focused approaches in creating robust and high-quality products.

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Industry

Manufacturing

Standard

Six Sigma

Workspaces

Laboratories

Occupations

Design Engineer
Six Sigma Master Black Belt
Product Development Manager
Quality Assurance Specialist
Research and Development Engineer
1
What is the identifier for the DFSS project being evaluated?
2
What is the target customer satisfaction score for the product?
Min1
Target4
Max5
3
Is the project compliant with the Design for Six Sigma methodology?
4
What suggestions do you have for improving the product design?
5
When was the last review of the design documentation conducted?
6
What version of the design document is currently being used?
7
Have all key stakeholders been engaged in the design process?
8
What is the measured cost of quality for the current design?
Min0
Target5000
Max100000
9
What is the current risk assessment level for the design?
10
What challenges were encountered during the design process?
11
Who is the lead for the design team on this project?
12
What is the start date of the design phase?
13
How many iterations have been completed in the design process?
Min1
Target3
Max20
14
What was the outcome of the most recent design review?
15
What feedback has been received from customers regarding the design?
16
Who is the lead for quality assurance on this design project?
17
When was the last quality review conducted on the design?
18
How many defects were identified during the last review?
Min0
Target2
Max100
19
What is the status of the corrective actions taken for identified defects?
20
What lessons have been learned from this design project?
21
What methodology is being used for design verification?
22
When was the design verification completed?
23
What is the success rate of the design verification process?
Min0
Target95
Max100
24
Does the design comply with all specified requirements?
25
What recommendations do you have for improving the design verification process?

FAQs

The main purpose is to assess and improve the implementation of Design for Six Sigma principles in product development projects, ensuring quality is built into products from the design phase.

DFSS project audits should be conducted at key milestones throughout the product development lifecycle, typically at the end of each DFSS phase (Define, Measure, Analyze, Design, Verify).

The audit should involve DFSS project leaders, design engineers, quality assurance specialists, marketing representatives, and key stakeholders from various departments involved in the product development process.

The checklist evaluates areas such as voice of customer analysis, critical-to-quality (CTQ) characteristic identification, design of experiments (DOE), failure mode and effects analysis (FMEA), and robust design principles implementation.

By ensuring proper implementation of DFSS principles, the audit helps create more reliable and high-performance products, reduce development costs, minimize post-launch issues, and ultimately lead to increased customer satisfaction and market success.

Benefits of Design for Six Sigma (DFSS) Project Audit Checklist

Ensures consistent application of DFSS principles across all product development projects

Identifies potential design flaws and quality issues early in the development process

Reduces time-to-market by minimizing redesigns and rework

Enhances product reliability and performance through data-driven design decisions

Improves alignment between product features and customer requirements