Name | Support | Language | Availability | Edition date | Price | ||
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PDF sécurisé |
English |
Active |
10/1/2016 |
€43.00 |
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Details
Research conducted in other industries than construction has revealed that high-impact, low-frequency (HILF) events are preceded by events or conditions that can be detected and, if acted upon, can prevent the HILF incident. This summary describes the CII project that yielded the construction industry's first valid and reliable method for identifying the leading conditions that predict HILF events, and the predictive scorecard the team developed to implement those findings.
Additional Info
Author | Construction Industry Institute |
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Published by | CII |
Document type | Standard |
Theme | /subgroups/56212 |
Number of pages | 33 |
Keyword | CII RS321-1 |