Copyright and Proprietary, Performance Improvement International, LLC, 2016. Derivative Product Strictly Prohibited. Error-Free® Operation and Human Performance Performance Improvement International, LLC
Copyright and Proprietary, Performance Improvement International, LLC, 2016. Derivative Product Strictly Prohibited.
Error-Free® Operation and Human Performance
Performance Improvement International, LLC
Copyright and Proprietary, Performance Improvement International, LLC, 2016. Derivative Product Strictly Prohibited.
What is Error-Free® Operation and Human Performance?
Error-Free® operation and human performance means no operational or injury events due to preventable human errors.
Over the past 30 years, Dr. Chong Chiu and PII’s more than 50 human and organizational performance experts have taken on numerous R&D and application projects to perfect two new technologies. These two new technologies make the Error-Free® operation and human performance a reality, not just a slogan.
Copyright and Proprietary, Performance Improvement International, LLC, 2016. Derivative Product Strictly Prohibited.
Two New Technologies that Affect Error-Free® Operation and Human Performance
Predictive Quality
KALETM (Error-Free® Intelligence Software)
Copyright and Proprietary, Performance Improvement International, LLC, 2016. Derivative Product Strictly Prohibited.
Error-Free® Technology’s History(1975-2016)
The Error-Free
Zone®
Path 1 (1975-2006)
Path 2(1990-2011)Path 3
(2000-2009)
Path 4 (2011-now)
Path Area (from-and-end, years of focus)
Breakthroughs based on more than 80,000 data points analyzed by PII for various types of errors and events in various types of jobs and working conditions
1 Errors and events modeling (1975-20015)
WASH-1400 (MT, 1975), PRA technology. Three error types. Swiss cheese model. Prevention, Detection and Correction (PDC) model for implementation (1998). Event probability model (PII, 2006-2015),
2 Causes of and their effects on errors (1990-2011)
WASH-1400 (MIT, 1975) on operator errors. PII’s top 10 error traps based on operation errors (1993). PII’s error reduction training (QV&VSM, STAR, 1996). Situational Brain Insufficiency Model (2008). PII’s 18 shaping factors (2008). PII’s job-specific Error-Free® behavior (2011).
3 Layer of protections and their failure rates(2000-2009)
Job specific and event specific LOP library (2006). Failure rate of LOPs due to intentional errors (2007). Failure of LOPs due to inadequate LOP design (2008). Failures of procedure and work plans (2009).
4 KALETM Human performance data bank (2011-2015). Equipment performance data bank (2011-2015). Human Performance Instant Root Cause Analysis (2013-2014). O&P Root cause Analysis (2015). Pre-job Briefing Readiness (2014). Safety Management Readiness (2015). Error Risk Meter (2013)
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What is Predictive Quality?
Know Barrier Failure and Error Rates
During Design and Operation
Know How to Design and
Improve the System
Proactively with Focus
Know Controlling Parameters
Affecting Failure Rates and Errors
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What is Reactive Quality Currently in Use?
Design Procedures or System without
Knowing the Failure Rates
Fixing Problems without
Quantitatively Prioritize the
Corrective Actions
After Events, Performing Root Cause Analysis in a Shot-gun
Fashion
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E v e n t
LOP1
LOP2
LOP3
Triggering Event
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Event: an undesired situation that has negative consequences. An event could be related to loss of production, equipment damage, rework, or injury.
Layer of Protection: a barrier that is set in place to correct active errors (i.e., actions not allowed) or latent errors (i.e., erroneous actions that are bound to become errors). This barrier may be a:• Administrative LOP (Yellow); a non-physical LOP such as adhering to the
minimum approach distance (MAD) while working in an electrically energized environment.
• Equipment/Passive LOP (Blue); a physical LOP such as a physical guard on a piece of equipment.
• Mixed LOP; where both Administrative and Equipment aspects to the LOP exist, such as wearing personal protective equipment (PPE).
Note that a procedure, behavior standards, or PJB can be both a guide to guide rule-based performance for its error-prevention measures and an LOP for its error-correcting measures (such as self check, verification, etc.)
Triggering Event: any single error as affected by shaping factors, an equipment failure, or a special condition (such as acts of nature) that triggers a chain of occurrences that may lead to an event if sufficient layers-of-protection are not provided.
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24 Hour Error Map
100%
8:00 am 8:00 pm 8:00 amDay Shift Night Shift
LunchMid-night snack
Drowsiness
Distraction
Over-confidence
Time Pressure
250%
40%
Error Rate
Turnover Turnover
Late-afternoon snack
Skill-based ErrorsRule-based Errors
Shaping Factor Time Chart
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PII data based on mega-analysis of more than 23 studies. This chart is used in PII’s human error prediction to account for time-of-day effects
Copyright and Proprietary, Performance Improvement International, LLC, 2016. Derivative Product Strictly Prohibited.
Typical Calculated and Confirmed LOP Failure Rates at an Average Performing Nuclear Power Station
Behav
ior Stan
dard: S
elf-Check
Qualificati
on Test
Concurre
nt Veri
fication
Age Rela
ted Fa
ilure
Manag
emen
t
Behav
ior Stan
dard: Q
V&V
Work Pack
age Prep
aration
Design
Modificati
on
Accountab
ility
Require
ment T
rackin
g
Procurem
ent (D
esign
) Spec
Prep
Review
Verificati
on
Behav
ior Stan
dard: P
olicy Compli.
Behav
ior Stan
dard: Li
ne of F
ire
Mainten
ance
Design
Change
Track
ing
Problem
Reporti
ng and Reso
lution
Behav
ior Stan
dard: A
rea Clea
ring
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Predictaed LOP Failure Rates
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What is KALETM?KALETM is a cloud-based Error-Free® Intelligence Software, accessible from all devices and operating systems. This Error-Free® integrated tool provides the right information, the right check list, the right procedures, and the right analysis as a SAAS solution to help workers avoid errors or to find root causes of their errors in the most cost-effective way.
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Typical O&M Spending Varies as Much as +/- 20% in a Tight Industry
US nuclear plants use similar technology, operation standards, and operation years. The difference in O&M costs among plants largely result from approaches to human performance from workers to management. Some of them are more proactive than others, resulting a lower O&M spending. With predictive quality, O&M costs for all of them can be significantly reduced.
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Nuclear Industry Current ExpenditureYear 2000 Data
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Contact Us
If you would like to receive more information regarding Error-Free® methodology, technology, and software; please feel free to reach out to us at:
Email: [email protected]: http://PIIOnline.comPhone: (760) 722-0202
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