A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
K
Kaizen: A Japanese term that means gradual unending improvement
by doing little things better and setting and achieving
increasingly higher standards. Masaaki Imai made the term
famous in his book, Kaizen: The Key to Japan’s Competitive Success.
Kanban: A Japanese term for one of the primary tools of a justin-
time system. It maintains an orderly and efficient flow of materials
throughout the entire manufacturing process. It is usually a
printed card that contains specific information such as part name,
description and quantity.
Key performance indicator (KPI): A statistical measure of how
well an organization is doing in a particular area. A KPI could
measure a company’s financial performance or how it is holding
up against customer requirements.
Key process: A major system level process that supports the
mission and satisfies major consumer requirements.
Key product characteristic: A product characteristic
that can affect safety or compliance with regulations, fit, function,
performance or subsequent processing of product.
Key process characteristic: A process parameter that
can affect safety or compliance with regulations, fit, function, performance
or subsequent processing of product.
Key results area: Customer requirements that are critical for the
organization’s success.
Kitting: A process in which assemblers are supplied
with kits—a box of parts, fittings and tools—for each task they perform.
This eliminates time consuming trips from one parts bin, tool
crib or supply center to another to get necessary materials.
Kruskal-Wallis test: A nonparametric test to compare three or
more samples. It tests the null hypothesis that all populations have
identical distribution functions against the alternative hypothesis
that at least one of the samples differs only with respect to location
(median), if at all. It is the analogue to the F-test used in analysis of
variance. While analysis of variance tests depend on the assumption
that all populations under comparison are normally distributed,
the Kruskal-Wallis test places no such restriction on the
comparison. It is a logical extension of the Wilcoxon Mann-
Whitney Test (see listing). |