Chapter 8. Quality Management Flashcards
Quality Management Processes and Outputs
Control Quality - Quality Control Measurements and Verified Deliverables
Plan Quality Management - Quality Management Plan and Quality Metrics
Manage Quality - Quality Reports, Test and Evaluation Documents
Define quality.
The degree to which a set of ineherent characteristics fulfills requirements.
Quality Management Processes
Planning - Plan Quality Management Plan
Executing - Manage Quality
Monitoring & Controlling - Control Quality
Total Quality Management (TCM)
A quality theory popularized after WWII that states that everyone in the company is responsible for quality and able to make a difference in the ultimate quality of the product. Invented by Walter Shewart at Western Electric but made popular by Edwards Deming, in Japan.
Theory focuses underlying process of a product is produced and the employees in the quality produce, rather than the product itself. A good process will ultimately yield good results.
Plan - Do - Act cycle.
Continous Improvement, or Kaizan
Stresses contract process improvement in the form of small changes in products or services. Focuses on oingoing series of small changes to improve product and processes.
Just-in-Time (JIT)
Manufacturing method that brings inventory down to zero (or near zero), forces focus on quality, since no excess inventory is on hand to waste.
ISO 9000
International Organizatio of Standardiation, ensures companies document what they do and do what they document.
Statisticial Independence
When two outcomes of two processes are not linked together, or dependent on one another.
Mutually Exclusive
When one choice excludes the other(s).
Standard Deviation
Statistical calcualtion used to measure and describe how a set of data is organized. Represented by the Greek symbol for sigma.
Averaging all data points to get the mean, then calculating the difference between each data point and the mean, ssquaring each of the differences, and dividing the sum of the squared differences by the number of data points minus one. Take the square root of that number to get the standard deviation of a data set.
Six Sigma
Popular philosophy, focuses on achieving high levels of quality by controlling the processes and reducing defects (anything that does not meet the customer’s quality standards).
A sigma is defined as 1 standard deviation from the mean. At the level of 1 sigma quality, 68.25% of all outputs will meet quality standards. At 3 sigma quality, 99.99966% of all outputs meet quality standards.
Six sigma strives to quantify, measure and control the quality of produces, services and results. Based on underlying theory that anything will vary if measured to a fine enough level. Goal is to refine the process so that human error and outside influence no longer influence results, any remaining variations are completely random.
To know about Six Sigma
It is a quality management philosophy that sets very high standards for quality. 1 sigma = 317,500 defects per 1 mil opportunities, 3 sigma = 2,700 defects per 1 mil opportunities, 6 sigma = 3.4 defects per 1 mil opportunities.
Even higher standards are strived for in some industries, such as the airline, pharmaceutical and utilities industries.
Prevention VS Inspection
Prevention - keeping defects from occuring
Inspection - identifying and catching effors before they impact others
Prevention is always favored over inspection.
Attribute sampling vs Variable sample
Attribute sampling - binary, work result conforms to quality or it does not (pass or fail)
Variable sampling - measures how well something conforms to quality (rater on a continous scale), shows how well well something conformed to the ideal quality
Special Causes vs Common Causes
Special Causes - unusual, preventable by process improvement
Common Causes - normal, generally accepted
Tolerances vs Control Limits
Tolerances - limits on a project set for product acceptance, focuses on if product is acceptable.
Control limits - more complex, set at three standard deviations at, above and below mean. Results must fall within the control limits, focuses on if processes are acdeptable.
Customer Satisfaction
Fitness for Use
Conformance to Requirements
Does the deliverable solve the underlying need and does it work properly.