CSSYB flashcards
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32 cards. Read the term and the definition here. The deck at the top of this page is optional.
- Six Sigma Definition
- A disciplined, data-driven methodology that reduces process variation and defects, aiming for no more than 3.4 defects per million opportunities.
- Y = f(X)
- The principle that process outputs (Y) are determined by process inputs (X); improvement comes from identifying and controlling the key X variables.
- DMAIC Acronym
- Define, Measure, Analyze, Improve, Control: the five-phase roadmap used to improve existing processes and sustain the resulting gains.
- Rolled Throughput Yield
- The probability that a unit passes every process step without a defect; calculated as the product of each step's individual yield, or e raised to negative DPU.
- Cost of Poor Quality
- Costs associated with producing defective output, including scrap, rework, warranty, and inspection; reducing these costs is a primary financial justification for Six Sigma projects.
- SIPOC Diagram
- A high-level process map showing Suppliers, Inputs, Process, Outputs, and Customers; it defines project boundaries and helps the team agree on scope.
- SMART Goal
- A project goal that is Specific, Measurable, Achievable, Relevant, and Time-bound; it states the metric, baseline, target, and deadline without prescribing a solution.
- Voice of Customer
- Customer needs and expectations gathered through surveys, interviews, complaints, and observation; these are translated into Critical to Quality requirements for the project.
- Project Charter
- A formal document authorizing the project; it defines the problem, business case, goal, scope, team, milestones, and metrics, and is approved by the project sponsor.
- Stakeholder Analysis
- A tool that maps people or groups by power and interest so the team can plan communication and engagement; high-power, high-interest stakeholders require active management.
- DPMO
- Defects per million opportunities; calculated as defects divided by units times opportunities, then multiplied by one million, and used to compare processes.
- Cp and Cpk
- Process capability indices: Cp compares specification width to process spread, while Cpk accounts for centering; Cpk of 1.33 or higher is generally acceptable.
- Gage R&R
- A measurement system study that estimates repeatability and reproducibility; results below 10% of tolerance are acceptable, 10-30% may be conditionally acceptable, and above 30% is unacceptable.
- Continuous vs Discrete Data
- Continuous data can take any value within a range and supports powerful tests; discrete data counts categories or occurrences and includes nominal and ordinal scales.
- DPU
- Defects per unit; the average number of defects found per item, calculated as total defects divided by total units, and used to compute rolled throughput yield.
- Data Collection Plan
- A document specifying what data to collect, operational definitions, sampling method, frequency, location, and responsible person, ensuring consistent and valid measurement before analysis begins.
- P-Value Rule
- If the p-value is less than the chosen significance level (usually 0.05), reject the null hypothesis; otherwise, fail to reject it and consider the result not statistically significant.
- Type I Error
- Also called alpha, it is the probability of rejecting a true null hypothesis, equivalent to a false positive; lowering alpha reduces this risk but raises Type II error.
- Fishbone Diagram
- A cause-and-effect tool that organizes potential root causes into categories such as manpower, machine, material, method, measurement, and environment to guide team brainstorming.
- FMEA RPN
- Risk Priority Number equals Severity times Occurrence times Detection; higher scores indicate higher-priority failure modes for corrective action, and the RPN is recalculated after improvements.
- Correlation Coefficient
- A value between -1 and +1 that measures the strength and direction of a linear relationship between two variables; it does not by itself prove causation.
- ANOVA
- Analysis of variance; a hypothesis test comparing the means of three or more groups by analyzing between-group and within-group variation to determine if differences are statistically significant.
- Poka-Yoke
- Error-proofing designed into a process to prevent mistakes from occurring or to detect them immediately; it is preferred over inspection because it stops defects at the source.
- PDCA Cycle
- Plan, Do, Check, Act; an iterative improvement cycle used to pilot changes, verify results, and standardize successful solutions before broader implementation.
- 5S Workplace Organization
- Sort, Set in order, Shine, Standardize, and Sustain; a Lean method that creates a clean, organized workplace to reduce waste, errors, and search time.
- Design of Experiments
- A structured method that deliberately varies factors at set levels to identify significant effects and interactions, allowing efficient optimization of process settings.
- Impact-Effort Matrix
- A prioritization tool plotting solutions by expected impact versus implementation effort; high-impact, low-effort options are typically selected first for quick wins.
- Control Chart Limits
- Control limits are calculated from process data at plus or minus three standard deviations from the mean; they are not specification limits and represent the voice of the process.
- Control Plan
- A document listing the process characteristics to monitor, the measurement method, sampling frequency, control limits, owner, and the reaction plan when out-of-control conditions occur.
- Special Cause Variation
- Unusual variation from assignable causes that is not inherent in the process; it appears as points beyond control limits or nonrandom patterns and requires investigation.
- Out-of-Control Action Plan
- A predefined response specifying who does what when a control chart signals an out-of-control event, including containment, root cause investigation, and corrective action.
- Standard Operating Procedure
- A documented, approved work instruction that defines the standard method for a task; it supports sustainment by ensuring consistent execution after improvements are implemented.