CSSC MBB flashcards
CSSC MBB · Build recall with a focused review session.
33 cards. Read the term and the definition here. The deck at the top of this page is optional.
- DPMO
- Defects per million opportunities: defects divided by units times opportunities, multiplied by one million. It normalizes defect counts across processes with different complexity.
- Rolled Throughput Yield
- The product of first-pass yields of all process steps. It exposes hidden rework, because a step that passes 95 percent five times yields only about 77 percent overall.
- Cost of Poor Quality
- Total cost of prevention, appraisal, internal failure, and external failure. Internal and external failure costs are avoidable losses; prevention and appraisal are planned investments.
- Eight Wastes
- Transport, Inventory, Motion, Waiting, Overproduction, Over-processing, Defects, and Skills underuse. Overproduction is usually ranked as the most damaging waste.
- CTQ Tree
- A hierarchical translation of a vague customer statement into specific, measurable characteristics, each with a target and specification limits used for capability analysis.
- SIPOC Diagram
- A high-level map of Suppliers, Inputs, Process, Outputs, and Customers. It establishes project boundaries and identifies who supplies and receives the process output.
- Kano Model
- Classifies requirements as must-be, performance, or delighter. Must-be absence causes dissatisfaction; delighters create satisfaction but their absence is not penalized.
- SMART Goal Statement
- A goal that is specific, measurable, achievable, relevant, and time-bound. It states the target metric, baseline, and deadline without naming a cause or solution.
- Project Charter
- The signed document authorizing a project. It contains the business case, problem and goal statements, scope boundaries, milestones, team roles, and sponsor approval.
- RACI Matrix
- Assigns Responsible, Accountable, Consulted, and Informed roles per deliverable. Exactly one person is Accountable, preventing shared and therefore absent ownership.
- Tuckman Stages
- Forming, Storming, Norming, Performing, and Adjourning. Conflict peaks in Storming, so leaders should establish ground rules early rather than suppress disagreement.
- Critical Path
- The longest-duration path through the project network. Its activities have zero float, so any delay on them delays the whole project completion date.
- Repeatability vs Reproducibility
- Repeatability is variation when one appraiser measures the same item repeatedly, mainly equipment. Reproducibility is variation between different appraisers measuring the same items.
- Gage R&R Percent
- GRR variation divided by total variation or tolerance, times one hundred. Below ten percent is acceptable, above thirty percent requires measurement system improvement.
- Cp versus Cpk
- Cp compares tolerance width to six sigma and ignores centering. Cpk divides the nearer specification distance by three sigma, so off-center processes score lower.
- Attribute Agreement Analysis
- Evaluates discrete measurement systems by comparing each appraiser with themselves and with a standard. Kappa near one indicates agreement beyond chance.
- Type I and Type II Error
- Type I error rejects a true null hypothesis, a false alarm at probability alpha. Type II error fails to reject a false null, a missed effect at probability beta.
- ANOVA
- Compares means of three or more groups by partitioning total variation into between-group and within-group components, then testing their ratio with an F statistic.
- Paired t-Test
- Compares two related measurements on the same units, such as before and after, by testing whether the mean of the differences equals zero. It removes unit-to-unit variation.
- RPN
- Risk Priority Number equals Severity times Occurrence times Detection in FMEA. High-severity items are addressed regardless of their total score.
- Multi-Vari Study
- A graphical study that separates variation into positional, cyclical, and temporal families. It narrows the search for dominant causes before formal hypothesis testing.
- Full Factorial Design
- An experiment running every combination of factor levels, requiring two to the k runs. It estimates all main effects and interactions without aliasing.
- Fractional Factorial Design
- A designed experiment using a subset of full factorial runs. It aliases some effects, so resolution four or higher is preferred when interactions may matter.
- Interaction Effect
- Occurs when the effect of one factor on the response depends on the level of another factor. One-factor-at-a-time experiments cannot detect interactions.
- Poka-Yoke
- Error-proofing that makes a defect impossible or immediately detectable at the source. It ranks above training and procedures because it does not rely on attention.
- Control Plan
- Documents each critical characteristic with its specification, measurement method, sampling frequency, control method, reaction plan, and responsible owner.
- Control Chart Selection
- Use Xbar-R for subgroups of two to nine, Xbar-S for ten or more, and individuals charts for single observations. Use p, np, c, or u charts for attribute data.
- Western Electric Rules
- Signals of special cause: one point beyond three sigma, two of three beyond two sigma, four of five beyond one sigma, or eight consecutive points on one side.
- Specification versus Control Limits
- Specification limits come from customer requirements and define capability. Control limits come from process data at plus or minus three sigma and define stability.
- DMADV
- Define, Measure, Analyze, Design, and Verify. This DFSS roadmap creates a new process or product rather than repairing an existing one, as DMAIC does.
- Quality Function Deployment
- A structured method, starting with the house of quality, that converts customer requirements into ranked design characteristics and target values for development.
- Taguchi Loss Function
- A quadratic loss that increases as a characteristic departs from its target, even while still inside specification. It motivates reducing variation, not just passing inspection.
- DFMEA versus PFMEA
- DFMEA analyzes failure modes of a design before it exists; PFMEA analyzes failure modes of the manufacturing or service process. Both are updated when changes occur.