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Muda (waste), Mura (irregular, uneven or inconsistent) and Muri (unreasonable or excessive strain)

Machine Capability (Cmk)
capability of a machine to produce a measurable characteristic under short term influences. The minimum requirement is xbar +/-5s within tolerance, i.e., 99.99998% of manufactured parts are expected to be within the tolerance. This corresponds to a Cmk factor of 1.67. The ultimate target is a Cmk factor of 2.00. (also ongoing capability)

The probability that a failed system can be made operable in a specified interval or downtime.

Markov Model
a probabilistic model that can accurately capture the effects of order dependent component failure and of changing failure rates resulting from stress or other factors. In general, Markov modeling is used to evaluate system reliability as a function of time by mapping out the states of the system - fully operational, degraded, failed - and the probability of moving from one state to another. Markov models are most useful for modeling complex behavior associated with fault-tolerant systems, degraded modes of operation, repairable systems, sequence-dependent behavior and time-varying failure rate.

Method 653
is a variation of brainstorming developed by B Rohrbach. This method involves '6' people generating and writing down '3' potential solutions after studying a problem. After a set period of time, the solutions are handed to the next participant, who then either further develops the original three solutions ideas or provides three new ones. The handing over of potential solutions to the next person continues until everyone in the group gets a chance to see each of the original three solutions and contribute to the document. This method may generate less creative solutions because mostly individual nature of the contributions does not take advantage of group discussions.

(japanese word) manufacturing of value - added products.

Multi Vari Analysis
a powerful graphical analysis technique used to identify and quantify dominant sources of variation in a process. It is appropriate when the response variable (y) is continuous and the x's under investigation are discrete. Multi-Vari Analysis graphically depicts multiple sources of variation. It allows the examination of major families of variation, including positional (within unit or part), cyclical (unit-to-unit or part-to-part) and temporal (over time). The basic objective of Multi-Vari Analysis is to determine which family exhibits the largest variation.

Multiple Regression
most common statistical technique for predicting the value of a dependent variable in relation to one or more independent variables. Relationships can be linear, non-linear, logarithmic, etc.

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