Design for Lean Six Sigma – DFLSS Upgrade
In increasingly demanding markets, designing robust products and processes is a competitive advantage. The DFLSS course teaches how to apply the DMADV methodology to translate customer needs into practical and reliable solutions.
The objectives of this course are:
Many projects fail because they don’t consider the customer’s voice from the beginning. This course prepares professionals to design with a focus on critical requirements, reducing future failures and ensuring deliverables that meet or exceed expectations.
The objectives of this course are:
- Apply DMADV to translate VOC into CTQs and design requirements.
- Use statistical tools to validate solutions.
- Structure robust and scalable design projects.
Many projects fail because they don’t consider the customer’s voice from the beginning. This course prepares professionals to design with a focus on critical requirements, reducing future failures and ensuring deliverables that meet or exceed expectations.
Público-Alvo
Professionals involved in managing and improving processes and products
Requisitos
No pre-requisites.
Workload
32 or 40 hours
Formatos
In-person, Online and HybridContent
Basic Structure:
Introduction
40 hours
Pre-Work:
Prepare topics to be worked in class
Note:
Minitab software used for statistical analysis
Introduction
- Contextualization of the DFSS methodology: why it was created, applications, benefits and comparison with DMAIC
- Differences between DMAIC and DMADV
- When to use DMADV
- Financial benefits of DMADV projects
- Relationship between DMADV and PMI
- How to identify DFSS projects
- Project scope definition
- Risk management plan
- Multigenerational plan for project managers
- Project schedule and Gantt diagram
- Project contract
- Identification of customers and their needs
- Translation of needs into project requirements (CTQ)
- CTQ prioritization
- Voice of Customer and Voice of Business
- CTQs and CTPs
- Affinity diagram and structure tree
- Customer data collection plan: surveys, interviews and focus groups
- Benchmarking
- Needs analysis using ANOM assessment and activities table
- Quality Function Deployment (QFD)
- CTQ risk matrix
- Kano matrix
- Design thinking
- Development of design concepts
- Assessment and selection of the best design
- Development of high-level design
- Development of detailed design
- Testing and verification of the detailed design
- Pilot plan preparation
- Detailed project description
- QFD levels three and four
- FMEA: DFMEA and PFMEA
- Logistic regression
- Monte Carlo simulation
- Design of experiments principles (DOE)
- Fractional factorial design principles
- Pilot planning
- Reliability analysis
- Control plan
- Poka-yoke
- Drive the pilot plan
- Implementation of the new design and handoff to the process owner
- Statistical process control (SPC)
- PDCA and SDCA
- Assessment
40 hours
Pre-Work:
Prepare topics to be worked in class
Note:
Minitab software used for statistical analysis