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You have reached the DFSS - Design for Six Sigma Dictionary within an evolving Business Excellence dictionary. In this dictionary, you will find not only the meaning of a term but also a discussion on practical application of the term. You can see the entire Dictionary here. Business Excellence dictionary is growing with addition of two new terms every week. To take part in making of the dictionary, you may try to reply to the latest question mentioned here
This page contains links to various discussion topics that relate to DFSS Design for Six Sigma. This page was last updated on 13th September 2019. Please click on the links below to see the definition, and best reply to the application question.
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- Algorithm - Discussion - Provide some of the latest examples where breakthroughs with improved accuracy or reduced turnaround times have been achieved due to use of effective algorithms for predictive analytics.
- Artificial Intelligence - Discussion - What is the difference between Artificial intelligence (AI) and Robotic Process Automation (RPA). Can the highest level of automation be achieved without the two working in tandem?
- Design for Assembly - Discussion - Explain the meaning and application of DFA index for a component.
- Design Risk Analysis - Discussion - What are the common tools for Design Risk Analysis?
- Design of Experiments - Discussion - What are the key differences in OFAT (One Factor at A Time) testing and DOE (Design of Experiments)? What are the advantages of one over the other?
- DFMEA/ Design FMEA - Discussion - What are the key differences between PFMEA and DFMEA? How does Design FMEA feed in to Process FMEA? What kind of feedback is expected from Process FMEA to Design FMEA?
- Kakushin - Discussion - Explain the meaning of Kaizen, Kaikaku and Kakushin (The three approaches used in Lean Implementation). How are the three different from each other? How do they complement each other? What would a company lose if one of these as a concept was not utilised?
- Mistake Proofing - Discussion - While it is understood that mistake proofing is immensely effective, there is some confusion about what it means or intends to achieve.
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- Poka Yoke - Discussion -
- Preventive Action - Discussion - While correction is generally unavoidable, corrective actions and preventive actions are mostly optional. Are there situations where both preventive action and corrective action are undesirable and correction is the only preferred action?
- RPA (Robotic Process Automation) - Discussion - What is the difference between Artificial intelligence (AI) and Robotic Process Automation (RPA). Can the highest level of automation be achieved without the two working in tandem?
- Root Cause - Discussion - While solving problems, root cause analysis is considered as an obvious step. When is it that one should refer to a “cause” as the “root cause”? (or a set of “causes” as “root causes”)
- Root Cause Analysis - Discussion - In a cause effect relationship, the cause may be either "necessary" or "sufficient" or both or neither of these. How does necessity or sufficiency of cause influence problem solving?
- Sensitivity Analysis - Discussion - How does Sensitivity Analysis relate with Root Cause Analysis?
- Validation - Discussion - In the DMADV roadmap of Lean Six Sigma, the last phase is Verify/ Validate.