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Risk ranking features

Tools are available to assist in comparing the risk associated with two or more different processes. For example, the first sheet of the Dow Fire and Explosion Index (FEI) (Dow, 1994b) ranks the safety characteristics of the process from a fire/explosion standpoint, without taking credit for protective and mitigation features. The Dow Chemical Exposure Index (CEI) (Dow, 1994a) and Id s Mond Index (ICI, 1985 Tyler, 1985) are other ranking tools. [Pg.67]

The Dow and Mond Indexes provide a relative ranking of the hazards and risks in a chemical process plant. This is accomplished by assigning penalties and credits based on plant features such as the presence of hazardous materials and the safety devices which can mitigate any hazardous effects. Penalties and credits are then combined into a single hazard index for the process unit in question. [Pg.176]

These and other factors identified as being associated with early stroke risk (Gladstone et al. 2004 Hill et al. 2004) were used to derive the ABCD score, a predictive tool of stroke risk within seven days after TIA (Rothwell et al. 2005). Briefly, all clinical features that had previously been found to be independently predictive of stroke after TIA were tested in a derivation cohort of 209 patients recruited from the Oxfordshire Community Stroke Project (OCSP, Lovett et al. 2003). Any variable that was a univariate predictor of the seven-day risk of stroke with a significance ofp < 0.1 assessed with the log rank test was incorporated into the score. The score was then validated in three further independent cohorts. [Pg.197]

The CAP Gap Audit assessment tool grades a corporation s CSR/SRI performance and generates readiness indicators for the top-ranking standards. Risk areas are flagged, performance is documented, and results are delivered in a concise high-impact executive report or on-site presentation. Figure 4.18 illustrates one of the reporting features - Readiness Indicators - for the major accountability standards that the CAP Gap Audit reprises. [Pg.157]

Feature (or gene) selection is complex due to the high dimensionality of the data, and thus the risk of detection of false-positive genes is high. We briefly describe some methods that have and are used in gene ranking and refer the reader to an excellent review by Huber et al. [9]. [Pg.142]

During the initial screening of the asset, a variety of data can be collected. By way of example, known information on existing characteristics and features of a particular asset can be obtained. The asset can then be broken down into subsystems, and each subsystem can be analyzed to identify mechanisms that can potentially lead to the loss of asset performance in terms of capacity, injectivity, and containment (process). The mechanisms can then be evaluated and ranked, and appropriate mitigation measures can be determined for some or all of the mechanisms (risk mitigation measures). Uncertainties can also be identified and characterization needs and solutions can be prioritized. [Pg.371]

The Dow FEI Safety and Loss Prevention Guide was developed by Dow Chemical Company sometime in the 1980s. The Dow FEI is used as a ranking system to give a relative index of the risk pertinent to individual process units on account of potential fires and explosions. The following points are a few characteristic features of FEI ... [Pg.95]


See other pages where Risk ranking features is mentioned: [Pg.25]    [Pg.25]    [Pg.1148]    [Pg.169]    [Pg.147]    [Pg.102]    [Pg.364]    [Pg.321]    [Pg.17]    [Pg.38]    [Pg.63]    [Pg.265]   
See also in sourсe #XX -- [ Pg.25 , Pg.26 ]




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