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Chapter 11: Introduction to DMAIC and DMADV - Coggle Diagram
Chapter 11: Introduction to DMAIC and DMADV
DMAIC vs. DMADV
DMAIC: improves existing process
DMADV: designs new process
Define
DMAIC: identify problems & set project goals, define requirements based on leadership & budget, use Six Sigma tools for flexibility
DMADV:define requirements in a change-management environment, align with organizational change policies, focus on customer requirements
Measure
DMAIC: gather & validate data to support problem identification, format data for analysis, build tools to capture missing data
DMADV: collect data for performance benchmarks, define key performance requirements
determine what to measure and how to collect useful data, analyze data types, apply CTQ trees and sigma level calculations
risk of irrelevent or unusable data, measurement process can be time-consuming and tedious
Analyze
DMAIC: develop hyptheses about relationships between inputs & outputs, use statistical analysis to validate assumptions, identify critical causes of inefficiencies
DMADV: identify best practices & benchmarks, design process frameworks & eliminate bottlenecks
common tools: pareto charts, run charts, histograms, value analysis
perform root cause analysis using statistical tools, verify causes before proposing solutions, work with sponsor owners, and subject matter experts
team can face "storming" (conflict and disagreements), explaining statistical analysis can be difficult for non-experts, leaders should present findings in an accessible way, avoid overwhelming teams with complex statistics
Control/ verify
DMAIC: establich controls to maintain improvements, transition responsibility to process owners
use of charts and other DMAIC tools to monitor ongoing performance
DMADV: verify that the newly designed process meets all requirements, ensure smooth implementation and adaptation
Critical-to-Quality (CTQ) Analysis: DMADV teams reassess CTQ's at end of project, identifies new quality factors based on customer feedback and process capabilities, recognizes that customer expectations may shift due to new process capabilities
Verify: a fully developed process or product that meets initial Define goals, elimination of known defects and issues wherever possible, established statistical control charts, Lean templates, and policies for process management
Design/ improve
DMAIC: implement & standardize process improvements, test solutions using statistical analysis
DMADV: create entirely new processes & workflows, develop new infrastructure, tools, or systems
Purpose of design: teams create a new process or product
built on foundation laid in Define, Measure, and Analyze phases
Execution: teams use plans, instructions, or process maps, involves collaboration with vendors, manufacturers, employees
Conducted in testing environments, limited production or Beta testing, small-scale rollout to internal or external customers for feedback, troubleshooting and refining the process (optimize)
DMADV: design for Six Sigma (DFSS) approach
DMADOV: adds Optimize and Validate phases