Using Leading Indicators to Continuously ImproveQHSE (Quality, Health, Safety, Environmental)Performance

摘要

Have you found the leading indicators for which continued execution TRULY does result infewer injuries, less spills, and generally better QHSE performance? If so, can you prove it?If not, is it something you wish to do?This session will dive into the increasingly hot topic of “Leading Indicators” and howcombining a large global data set with some fundamental statistical methods can result inboth finding those factors which TRULY affect performance outcomes and themathematical support to prove it.Initially, we will explore a rather large data set involving thousands of sites cutting acrossthe globe for both Energy companies and the Oilfield Service businesses which serve ascontractors to them. We will discuss how many different types of “leading indicators” arebeing extracted from this data set and analyzed to identify the TRUE mathematicallyprovenleading indicators of performance.We will review the many different types of metrics which can be extracted from this vastdata set, as well as discuss benchmarked data – ranging from the standard QHSE activitiessuch as ratio’s of near miss reports to highseverityincidents, percent of employees involvedin proactive reporting activities, rate of ontimeclosure of action items, etc.. To the muchmore “elusive” measurements like leadership, culture, responsiveness, etc…Finally, we will discuss how these many variables can be analyzed to identify those factorswhich have the strongest association to “outcomes” (losses). And we will briefly reviewhow these “proven” leading indicators may be used on management scorecards to influenceexecution and continuously improve performance.