Design for Lean Six Sigma (DFLSS)

Design for Six Sigma gives you everything you need to protect your new (or existing) products and processes against waste, defects, and errors.

Design for Six Sigma (DFSS) is a powerful methodology for ensuring the quality and reliability of new product and process designs that exceed current market maturity levels or break into entirely new markets. Design for Six Sigma (DFSS), can be applied across many environments.

This course focuses on product design and manufacturing or any process that produces a tangible product, including mining, refining, chemical and polymer processing, and energy production.

Beyond traditional DFSS approaches, we emphasize the often-missing element of front-end innovation to truly understand customer needs and how to translate those needs into design parameters.

You’ll learn about the details of DFSS in a focused workshop environment—complete with interactive lectures, group exercises and individualized mentoring on real, problematic data sets and projects that you bring to class. Additionally, the instructor will tailor content and examples to the composition of each class.

Who is this training and education appropriate for?

• Engineers
• Product Owners
• Scientists R&D Professionals
• Anyone interested in perfecting their products and services

Are there any prerequisites?

• Knowledge of basic statistics, process capability and measurement system analysis. E-learning associated with this course will focus on these requirements to prepare the student.
• Laptop computer running Minitab and Microsoft Excel.
• It is also recommended, but not required, that the student complete the Innovation Design and Tools course prior to taking the DFSS course so that the concepts of front-end design prepare the student for the back-end of innovation design concepts.

Learning Objectives

Upon completion of this course, participants will be able to:

• Use DMADV, Lean and Innovation methodologies to complete new product and process development projects.
• Discern between DMADV and DMAIC project opportunities.
• Describe the objectives of each DMADV phase.
• Complete a project financial and risk analyses.
• Analyze a Quality Function Deployment.
• Select concepts based on a Pugh Matrix.
• Complete a design scorecard.
• Design and analyze a robust designed experiment.
• Describe the elements of a process and the transactional roadmap.
• Predict output variability using techniques such as Monte Carlo simulations.
• Analyze reliability data.
• Predict service levels based on resource decisions.
• Describe the principles of Design for Manufacturer and Assembly
• Define inventory policies based on desired service levels.
• Select appropriate maintenance strategies for products.