Predictive Fatigue Mgmt for Construction - Fatigue Science - Product Brochure - 08:2017

Predictivefatigue riskmanagementfor constructionScientifically-validatedtechnology to predictand prevent fatigue-related accidents

The heavy constructionindustry is awakeningto the true cost ofworker fatigueAs data continues to advance every aspect of heavy industry,leading firms are beginning to recognize the quantifiable effectsof worker fatigue on safety and productivity. Nowhere are theserisks more pronounced than in construction, where productiontimelines challenge your workforce every day.Fortunately, new developments in connected technologynow make it possible to mitigate fatigue risks like never before,creating unprecedented opportunities for improved safety andperformance.

Finally, you can predict worker fatigue hours in advance Since 2006, construction firms have relied on analysis fromFatigue Science to optimize their shift schedules around worker fatigue. Now, we’re combining our decades of validated scientific research witha first-of-its-kind connected platform that can predict individual worker fatigue onset — hours before other technologies make possible. For the first time, it’s now possible to ensure all workers on-duty are fit for the day’s challenges ahead.

The high cost of workforcefatigue in heavy industryWorker fatigue is recognized as one of the leading human factors causes of accidentsin heavy industry, causing more damage than alcohol and drug use combined.Safety incidents and accidents Insurance and liabilityA broad US industry study last 3.5x Technology has made fatigueyear concluded that fatigueresults in a 13% increased likeilnihjuoroyd of impairment measurable and settlleegmael ntsrisk of death and the loss of detectable, and it’s placed the onus on employers to either1.2 million workdays per year. Another study face increased liability andfound that workers who slept less than 5 hrs. insurance costs, or control costs with effectiveper day were 3.5x as likely to be injured than fatigue management practices.those sleeping 7+ hrs.Lost productivity Recently in Australia, a leader in workplace fatigue legislation, courts awarded a mineIt’s estimated that up to 20% 20% worker almost US$1m in damages, afterof the general population finding the company didn’t do enough tosuffers from sleep disorders, sleep disorders mitigate fatigue risk in the workplace, setting a new precedent for employer liability.such as sleep apnea andother conditions. Organizations that invest in Reputationemployee well-being programs typically findthat absenteeism decreases by 40%, turnover Large construction projects often operate under intense public scrutiny, and preventableby 25%, and accidents by about 50%. accidents raise red flags with employees, investors and the larger community. ProactiveAssets and maintenance leadership in fatigue-related safety is now more of a priority than ever for globalA US Dept. of Transportation 5x construction companies.study of railroad operatorsfound that the average cost accident costof accidents caused by a Communication failures and on-site errorsfatigued worker was 5x greater than a non-fatigued worker. Moreover, fatigued operation Even when fatigue-related accidents don’t occur, worker fatigue often poses significantof vehicles often has a significant impact on challenges to smooth operation, including an uptick in errors for process-oriented tasks and“wear and tear” and maintenance costs, especially collaboration efforts.drivetrain and braking components.

Microsleeps: accidents waiting to happenMicrosleeps are momentary lapses in consciousness due to fatigue. In the span ofas little as three or four seconds, a fatigued driver experiencing a microsleep cantravel close to 90m (293 feet) with their eyes closed, entirely unaware of what ishappening. Microsleeps are particularly threatening because they can arise beforea worker feels sleepy or shows any other outward signs of fatigue.4 sec 80 km/hr 89m 50 mph 293'Study finds almost 50% of constructionworkers exposed to fatigue riskA 2015 US study concluded that fatigueshould be considered a safety risk factorin construction. Of 606 workers studied,approxiamately 40% reported being ‘tiredsome days’ in the past 3 months, and 10%reported being ‘tired most or every day’.Workers who felt ‘tired some days’ weresignificantly more likely to report difficultywith physical functions.The researchers believe the actual figuresmay be even higher, as the ‘tough it out’culture in the industry leads to a reluctance tospeak up about fatigue.Source: Influence of fatigue on construction workers’ physical andcognitive function, Soc. of Occupational Medicine; Oxford Univ. Press, 2015

Reactive vs. Predictive: A key difference infatigue risk management approaches REACTIVEReactive technologies detect fatigue once physical symptoms appear. While valuable as part of a broader toolkit, they don’t address the root cause of fatigue, and used alone, leave less time for intervention.EEG monitoring In-cab driver monitoringHeadwear embedded sensors, which capture In-cab devices detect fatigue from changesbrain wave (EEG) data, can alert managers in facial, eye, and body movement. They canto on-duty drowsiness. As with all reactive identify fatigue once physical symptomssystems, interventions are limited to reacting appear, but often these signs only arise whenwith little notice, instead of planning in advance. the worker is already in grave danger.PVT alertness testing Telematics analysisPsychomotor vigilance tests can give a fatigue Telematics systems can try to detect erraticsnapshot at the time of testing, but they’re steering and braking, often due to fatigue.unable to predict fatigue while a worker is However, these systems only work within the middle of a shift — a more common certain vehicles and roadway conditions.scenario than fatigue at the day’s beginning. Moreover, by the time fatigue is detected, dangerous driving is already underway.

PREDICTIVEPredictive technology analyzes sleep and circadian rhythms to project if and when fatigue will occur,providing many hours of advance notice to plan for both critical interventions and root-cause treatments.Validated algorithms applied to wearable-based sleep dataPredictive fatigue management begins by +capturing high-resolution sleep data with avalidated wrist-worn wearable device, offeringaccuracy far beyond what is available fromconsumer sleep trackers.Then, it applies a validated biomathematical Readiband™ SAFTE™model to those sleep data to generate anaccurate fatigue prediction for each worker’s wearable device Fatigue Modelday ahead.These predictions are made available in aneasy-to-use manager’s dashboard, providinga bird’s eye view of all upcoming fatigue risks.7:00 am 1:00 pm 5:00 pmStart of shift Middle of shift Near end of shiftMost workers Some workers will A few workers willappear non-fatigued face fatigue onset face critical fatigue

The SAFTE™Fatigue ModelThe SAFTE Fatigue Model (Sleep, Activity, Fatigue,and Task Effectiveness) is the world’s leadingbiomathematical fatigue model — developed bythe US Army Research Lab, with over 25 yearsand $37 million in research.It has been extensively validated by theUS Department of Transportation, FederalAviation Administration, and numerous othergovernmental and industry organizations.The SAFTE Fatigue Model analyzes detailedsleep data in order to predictively quantifyfatigue levels, hour-by-hour, for the dayahead.The SAFTE Fatigue Model is availableexclusively from Fatigue Science and itsdistributors.

The SAFTE Fatigue Model applies Circadian rhythm Time of day Sleep quantityscientific research to evaluatesleep and predict fatigue Sleep & wake Cumulative sleep Awakenings consistency debtThe Model analyzes a complexarray of sleep factors thatcollectively define a “good night’ssleep.” These factors go beyond asimple count of hours slept, andthey even account for factors likeseasonal light exposure—a majordriver of circadian rhythm. Blood alcohol Reduced It quantifies fatigue and makes equivalence reaction times it easy to compare with other physiological impairmentsS A F T E Alertness Score 100 +11% The SAFTE Fatigue Model Normal levels of quantifies fatigue on an easy-to- 90 effectiveness visualize 0-100 scale—the SAFTE Alertness Score. It can reliably 80 +25% indicate the effects of fatigue as +43% they compare to reaction time, Fatigue-impairment +67% lapse likelihood, and cognitive effectiveness. At a score of 70, 70 0.08% fatigue has as similar impact as a blood alcohol concentration of 0.08. Decreased cognitive & physical effectiveness It predicts how one’s fatigue will evolve over the day ahead 60 When a worker’s sleep is analyzed, Predicted fatigue impairment the SAFTE Fatigue Model outputs a time-series of fatigue scores 100 for their day ahead, based on the predicted progression ofS A F T E Alertness Score 90 the worker’s circadian rhythm. This projection makes it easy to Start of day pinpoint, at the start of the day, the moment if and when the worker 80 will reach dangerous fatigue levels. 70 End of day 60 7:00 9:00 11:00 13:00 15:00 17:00 19:00 21:00

Sleep sciencevalidated insafety-criticalenvironmentsaround the worldThe SAFTE Fatigue Model has been studiedby numerous agencies and research bodies,including the US Department of Transportationand Federal Aviation Administration.These studies reveal a close correlation betweena worker’s SAFTE Alertness Score and their riskof causing a costly safety incident.

SAFTE Alertness Score Accident Risk SAFTE Score andand safety incident risk accident riskAn extensive study from the US 1.8Dept. of Transportation found thatfatigue accident risk in real-world 1.6locomotive environments steadilyincreased as SAFTE Alertness US Dept. of TransportationScores became more severe. Theincident risk doubled at a Score of 1.450, as compared to a non-fatiguedstate. 1.2SAFTE Alertness Score 1.0and driver behavior 0.8An analysis we performed on acommercial trucking customer’s < 50 60 70 80 90 100sleep and telematics data foundthat drivers with SAFTE Alertness S A F T E Alertness ScoreScores below 50 were 8.5 timesmore likely to exhibit instances SAFTE Score andof excessive speed, with similar safety incident riskfindings for the incidence of harshbraking. 0.50Benchmarking your operation’s Avg # of excessive speed 0.40 0.43 Commercialoverall fatigue exposure incidents per drive hr. trucking 0.30 customerEvery organization wondersabout their own level of fatigue 0.20 0.24risk exposure. An added benefitof quantifying fatigue for each 0.10 0.14and every shift hour is that you 0.10can finally obtain an objectivebenchmark of your workforce’s 0.00 0.04 0.05fatigue exposure – and trackimprovements in this risk profile < 50 60 70 80 90 100over time. S A F T E Alertness Score Day shift Night shift 18% 30% % of hrs spent below SAFTE Score of 70 < 50 60 70 80 90 100 S A F T E Alertness Score

Using predictive fatigue managementin large construction projects RECORD Readibands capture sleep data in high- resolution, with validated accuracy.Bluetooth® reWsiasttearnt NtoralocckaintigonThe Readiband™ wearable device SYNCThe wrist-worn Fatigue Science Readiband When workerscaptures high-resolution sleep data with arrive for duty,validated 92% accuracy, as compared with a their Readibandsclinical polysomnography sleep lab. automatically sync via a secure iPadWith the Readiband’s 30-day battery life, it’s stationed on-site.easy to “wear it and forget it,” and workers’ No user action isbands sync automatically when arriving for duty. required. ANALYZE In a secure cloud environment, the SAFTE Fatigue Model analyzes workers’ data and produces individual fatigue predictions for the shift ahead.

PREDICT & MANAGEThe Fatigue Science web app gives shift supervisors and safety managers an easy, at-a-glance view ofall current and upcoming fatigue risks in their on-duty workforce. With this comprehensive “bird’s-eyeview” of the day ahead, safety-critical interventions are now possible hours in advance.SHARE RESPONSIBILITYWith the Readiband app, workers can play animportant role in reducing their own fatigue risk.By illustrating the relationship between a worker’ssleep habits and their resulting safety on the job, ourapp helps workers “connect the dots” to the concreteactions they can take to reduce their own fatigue.

Help chronically fatigued workersreduce their fatigue at its sourceA toolkit that empowers industrial health staff to identify and help treat chronically fatigued workersPredicting fatigue and intervening early is your Using our comprehensive fatigue analyticsbest defense against the day’s fatigue risks. platform — the same one used by recentBut what if you could also reduce the presence winners of the Superbowl® and World Series®of fatigue to begin with? Your workers would — authorized health staff can easily identifybe better rested, safer, healthier, and more chronically fatigued workers and guide them withproductive – a win for everyone. data-backed sleep advice, and even steer them toward treatment for possible sleep disorders.The New York Times: Seattle Seahawks relyon Fatigue Science for performance edge“I always thought that sleep was overrated,and I had to kind of be knocked in the headto understand,” Seahawks head coach PeteCarroll told the Times. “Like somany things, once it gets on theradar screen, it makes senseand you ask, why didn’t we payattention before?”

A step-by-step approach to asuccessful deploymentImplementing any new workforce technology can often appear to be a daunting task, especiallywhen it involves remote locations and extreme conditions. But it doesn’t have to be.Pilot and fatigue assessment phaseAt Fatigue Science we’ve implemented FRMS Avg sleep On-duty timetechnologies and strategies for over 10 years. per night fatigue impairedThrough our experience, we’ve learned that themost constructive first step in implementing 30%any risk reduction strategy is to establish abaseline risk profile of your existing operation. 90-Day Pilot results 6.32 hrs SAFTE 61-70We begin each deployment with a pilot project, 5.88 hrs 19% 23%wherein we deploy Readibands with a limited setof workers and closely analyze the data in this 16%pilot period. With these data, we’ll quantify thesources and extent of fatigue in your operation, SAFTE 11%constructing a baseline Fatigue Risk Profile <60unique to your operating environment. 7% Baseline Phase II Baseline Phase II day 30 day 90 day 30 day 90Implementation Ongoing specialized supportNext, we’ll use our findings to align closely Finally, you can count on us to provide expert-with your management goals, including change level support for your operation, includingmanagement guidance for introducing a policy not only dedicated technical support andof fatigue intervention into daily use. We’ll also implementation guidance, but also analyticalhelp introduce workers to the program, including insights as we help you drive measurableteaching them about sleep hygiene and best improvements to your Fatigue Risk Profile.practices for reducing their own fatigue.BBMV construction managing fatigueon London’s $19-billion Crossrailmegaproject “People were ready to wear the Readibandsbecause they saw positive benefit, and itworked very well for us that their sleeppatterns started to improve.”John Clifton, BBMV SupervisorCrossrail Project, London, UK

To learn more how Fatigue Science fatiguescience.comcan help reduce fatigue risk in your (604) 408-0085operation, please contact an expert [email protected] our team for a free consultation. Fatigue Science 730-1133 Melville St Vancouver, BC V6E 4E5 © 2017 Fatigue Science Inc. All marks property of their respective owners.