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Data cleansing may also involve harmonization (or normalization) of data, which is the process of bringing together data of "varying file formats, naming conventions, and columns", [2] and transforming it into one cohesive data set; a simple example is the expansion of abbreviations ("st, rd, etc." to "street, road, etcetera").
In resilience engineering, successes (things that go right) and failures (things that go wrong) are seen as having the same basis, namely human performance variability. A specific account of that is the efficiency–thoroughness trade-off principle, [18] which can be found on all levels of human activity, in individuals as well as in groups.
Delivery (customer valued) processes are constantly evaluated and improved in the light of their efficiency, effectiveness and flexibility. Some see continual improvement processes as a meta-process for most management systems (such as business process management, quality management, project management, and program management). [3] W.
Shingo distinguished between the concepts of inevitable human mistakes and defects in the production. Defects occur when the mistakes are allowed to reach the customer. The aim of poka-yoke is to design the process so that mistakes can be detected and corrected immediately, eliminating defects at the source.
An example of an organizational process implemented to increase organizational learning is the U.S. Army's use of a formally structured de-brief process called an after-action review (AAR) to analyze what happened, why it happened, and how it could be improved immediately after a mission. Learning laboratories are a type or learning ...
A systematic process is often closely associated with critical thinking. [ 1 ] In general the application of a systematic process is regarded as a means of management aimed at reducing the number and severity of mistakes, errors and failures due to either human or technological functions involved.
DMAIC is a data-driven quality strategy used to improve processes. [5] The term "control" is the fifth phase of this strategy. Quality assurance comprises administrative and procedural activities implemented in a quality system so that requirements and goals for a product, service or activity will be accomplished. [3]
There are few studies explicitly linking cognitive biases to real-world incidents with highly negative outcomes. Examples: One study [11] explicitly focused on cognitive bias as a potential contributor to a disaster-level event; this study examined the causes of the loss of several members of two expedition teams on Mount Everest on two consecutive days in 1996.