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Implement & Validate

Implement & Validate

Implement and Validate– Under six sigma green belt – The final phase validate or verify which is about validating/verifying whether the design suits the requirements of customers and business. Before implementing the design, there are some quick steps or pre-requisites to be done to validate that the design is appropriate in normal working conditions which are –

Implement & Validate- Various improvement methods are used which are:

Brainstorming
Brainstorming is a technique to systematically generate ideas usually to handle a challenging situation, from a group of people by nurturing free-thinking. There are several such opportunities in any organisation, e.g. Improving productivity, increasing sales, finding new business development areas, launching new products or defining new processes.

Multi-vari studies
Multi-Vari Analysis is a tool that graphically displays patterns of variation. These studies are used to identify possible X’s and/or families of variation. These families of variation can frequently hide within a subgroup, between groups or over time.

FMEA
The acronym FMEA stands for “Failure Modes and Effects Analysis”. It represents a technique aimed at averting future issues in project processes and eliminating risks that may hamper a solution.

Measurement system capability re-analysis
It is a method to re-identify the components of variation in the measurement. It is used to re-quantify the impact of measurement errors and to ensure the integrity of data used for analysis.

Post-improvement capability analysis
Post improvement re-measuring and re-analyzing the capability and performance of a process under review enables organizations to numerically represent and interpret its current state, and to report its sigma level. When done correctly, process capability analyses enable project team to precisely assess current performance in light of future goals, and ultimately, to determine the need and targets of process improvement. Process capabilities can be determined for normal and non-normal data, and for variable (continuous) and attribute (discrete) data alike.

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