Success likelihood index method

Success Likelihood Index Method/Multi-Attribute Utility Decomposition (SUM-MAUD)... 

In contrast Success Likelihood Index Method (SLIM) to evaluate HEP utilize only summary of weighted multiplication of PSFs without decomposing considering event. In spite of its simplicity SLIM method is however quite interesting from the point of view of HMI designing process. Proposed solutions of HMI before being applied are usually tested through... 

The success likelihood index method (SLIM) was selected to evaluate HEP with regard identified performance shaping factors (PSFs) (Hmnphreys 1988). A systematic approach has been apphed to identify PSFs that have direct impact on hmnan-operator performance relating to successfully accomplishment required tasks. Usefulness of SLIM method is illustrated on following example. 

SLIM Success likelihood index method. It is an HRA quantification technique by which HEPs are quantified. For taking actions, this may be utilized in conjunction with multi-attribute utility decomposition (MAUD), discussed later. Here, SLI (Ref Clause 6.2.2) is calibrated. It should actually be considered under expert judgment type. It has wider application as it is somewhat generic. 

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