Six Sigma and Process Improvement Fundamentals

A comprehensive set of vocabulary flashcards covering Six Sigma methodologies, Lean principles, statistical tools, and project management frameworks as detailed in the lecture transcript.

Six Sigma

A data-driven methodology focused on improving processes by reducing errors and variation to get as close to "zero defects" as possible.

DPMO

Defects Per Million Opportunities; a measurement of how many mistakes occur per million chances for something to go wrong, calculated as $\frac{\text{Number of Defects}}{\text{Number of Opportunities per Unit}} \times 1,000,000$.

DMAIC

A structured, data-driven approach for process improvement involving five phases: Define, Measure, Analyze, Improve, and Control.

Kaizen Mindset

A Japanese philosophy translating to "change for the better," focused on building a culture of continuous measurable improvement through teamwork and waste elimination.

Voice of the Customer (VOC)

A method to capture customer feedback, complaints, and preferences to define requirements and align process improvements with customer needs.

Critical-to-Quality (CTQ)

Measurable requirements that reflect what the customer expects from a product or service, often translated from customer needs using a tree diagram.

Value Stream

All the steps and activities required to deliver a product or service to a customer, aimed at identifying the entire process flow rather than individual steps.

Muda

A Japanese word for waste; refers to any activity within a process that does not add value. Type 1 is non-value added but necessary, while Type 2 is pure waste.

Seven Muda

The specific categories of waste: Overproduction, Correction, Inventory, Motion, Conveyance, Overprocessing, and Waiting.

Lean

A process management methodology focused on eliminating waste and improving flow to deliver customer value.

5S

A five-phase workplace organization methodology: Sort, Straighten, Shine, Standardize, and Sustain.

Just in Time (JIT)

A manufacturing principle where items are produced only as they are needed to reduce inventory levels.

Standard Deviation

A statistical measure of how spread out data points are from the mean.

Pareto Principle

The $80/20$ rule, which states that a small number of causes typically create the majority of problems.

Likert Scale

A survey rating scale typically using 5 or 7 levels used to measure opinions, attitudes, or satisfaction.

Cycle Time

The amount of time it takes to complete a specific process from start to finish.

Lead Time

The total time elapsed from the initial customer request to the final delivery of the product or service.

$$y = f(x)$$

A problem function where the output performance ($y$) depends on various input variables ($x$).

The 5 Whys

An iterative technique of repeatedly asking "why" to uncover the root cause of a specific problem.

SIPOC

A high-level process map looking at Suppliers, Inputs, Process, Outputs, and Customers.

Cost of Poor Quality (COPQ)

The sum of costs associated with scrap, rework, and returns caused by process failures.

DMADV

An acronym for Define, Measure, Analyze, Design, and Verify; used specifically for creating new processes rather than improving existing ones.

Project Charter

A document defining the problem, goal, scope, timeline, team roles, and business impact to keep a Six Sigma project aligned.

FMEA

Failure Modes and Effect Analysis; a tool used to identify potential process failures and rank risks to prioritize improvements.

Gage R&R

A system used to measure how much variation in data comes from the measurement system itself to ensure data trustworthiness.

Fishbone Diagram

A visual tool used in root cause analysis to organize possible causes of a problem into categories such as people, materials, and methods.

Correlation Coefficient ($r$)

A value between $-1$ and $1$ that indicates the strength and direction of the relationship between two variables.

Linear Regression Analysis

A statistical method used to model the relationship between variables to predict outcomes.

Hypothesis Testing

A statistical method used to determine if results are significant by comparing a null hypothesis (no change) against an alternative hypothesis (change exists).

Type 1 Error

A false positive error in hypothesis testing where a change is incorrectly identified as existing.

Type 2 Error

A false negative error in hypothesis testing where a change is incorrectly identified as NOT existing.

SPC Charts

Statistical Process Control charts used to monitor process stability over time and distinguish between normal and special cause variations.

Black Belt

A Six Sigma certification level for individuals who lead projects and apply advanced statistical analysis.

Master Black Belt

The highest Six Sigma certification level, responsible for providing strategic guidance and training across the organization.