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Reactive management consists of reacting quickly after the problem occurs, by treating the symptoms. This type of management is implemented by reactive systems, [3] [4] self-adaptive systems, [5] self-organized systems, and complex adaptive systems. The goal here is to react quickly and alleviate the effects of the problem as soon as possible.
Reactive plans can be expressed also by connectionist networks like artificial neural networks or free-flow hierarchies. The basic representational unit is a unit with several input links that feed the unit with "an abstract activity" and output links that propagate the activity to following units.
All causes shall be verified or proved. One can use five whys or Ishikawa diagrams to map causes against the effect or problem identified. D5: Verify Permanent Corrections (PCs) for Problem that will resolve the problem for the customer: Using pre-production programs, quantitatively confirm that the selected correction will resolve the problem ...
The task of additional reactive power compensation (also known as voltage compensation) is assigned to compensating devices: [7] passive (either permanently connected or switched) sinks of reactive power (e.g., shunt reactors that are similar to transformers in construction, with a single winding and iron core [9]).
The problem or a non-conformance can be identified internally through staff suggestions, management reviews, document reviews or internal audits. External leads to finding the root cause of the problem can include Customer complaints and suggestions; customer rejections; non-conformities raised in customer or third-party audits; recommendations ...
RPR has been fully aligned with ITIL v3 since RPR 2.01 was released in April 2008. RPR fits directly into the ITIL v3 problem management process as a sub-process. Some organisations handle ongoing recurring problems within incident management, and RPR also fits into the ITIL v3 incident management process as a sub-process.
Adaptive management, also known as adaptive resource management or adaptive environmental assessment and management, is a structured, iterative process of robust decision making in the face of uncertainty, with an aim to reducing uncertainty over time via system monitoring.
Dorian Shainin (September 26, 1914 – January 7, 2000) was an American quality consultant, aeronautics engineer, author, and college professor most notable for his contributions in the fields of industrial problem solving, product reliability, and quality engineering, particularly the creation and development of the "Red X" concept.