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.
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Published: 10/01/2016 Number of Pages: 33 File Size: 1 file , 780 KB Note: This product is unavailable in Russia, Ukraine, Belarus