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Explore how the Scoring System Methodology (SSM) can replace traditional IBC Height & Area Table for comprehensive risk assessment. Learn about the scoring model, risk index, and development phases for a more reliable risk evaluation method.
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Risk Assessment using Scoring System Methodology (SSM) as holistic substitute for IBC Height & Area Table Frank Noonan Professor of Industrial Engineering & Fire Protection Engineering Worcester Polytechnic Institute For AFSCC, 8/3/07, Chicago, Il.
The challenge • H&A Table overly prescriptive? • Incomplete with respect to assessing all relevant factors that make a given building size safe or unsafe. • Goals: • Holistic approach. • Acceptable level of fire safety for communities, occupants, emergency responders.
Scoring System Methodology • Widely used throughout global economy for risk assessment. • Pioneered by banking industry to assess likelihood for default with loan applications. • Other applications: • IRS audit decisions • Parole board decisions • Mass mail and telemarketing decisions • Insurance industry customer screening • Hospital patient procedure decisions
Scoring Model Example Risk Index Explanatory LevelFactors& Data Very Poor Risk Poor Risk Medium Risk Relatively Good Risk Good Risk Very Good Risk -Personnel Experience -Material Handling Processes -Manager’s Experience -Accident History Scoring Model to estimate a plant’s risk for a toxic spill.
Scoring Models • A type of Inference Tree which assesses a non-observable variable through other data which can be observed or measured • (e.g. the probability of some negative event or the effectiveness of some complex system). • Purpose: Replace Individual Judgment with a more reliable method. • Risk Index = w(1)RF(1)+ ... +w(n)RF(n)
Contract to Build a Scoring Model as alternative to IBC Height & Area Table 503. • Frank Noonan reporting to Kate Dargan and Dave Collins • Phase 1: Work with the BFP Features Study Group as SMEs to build a prototype model. • Phase 2: Continuing with BFP Study Group open model to a larger group of building safety professionals to review and fine tune the model. • Timeframe: 3/8/07 – 2/28/08
SSM development for IBC 1. Establish SMEs and communication framework. 2. Define risk metric for building safety performance. 3. Define set of risk factors (and scales) for risk assessment, (e.g. occupancy classification, height, area, full menu of active and passive risk mitigation measures, expected emergency response). 4. Define relative importance of each risk factor. 5. Calibrate Scoring Model for Acceptable Risk on Building Safety Performance.
Establish SMEs and communication framework. • SMEs: Study Group; Facilitator: Frank Noonan • MyWPI is internet forum • Need name and email address of each SME • Site Name: BFP Features Study Group • Discussion/ Voting/ Finding Consensus
2. Define risk metric for building safety performance • Narrative describing Building Safety (or risk to building safety) • Sets transition for defining risk factors. • Process: 1st draft today (8/3/07); post for revisions; complete by 8/24/07. • Risk Metric = w(1)*RF(1)+…+w(n)*RF(n) • Scale: [0,10] • GAR: GGGGGAAARRRRR
Risk Metric Narrative • “Building Safety” is defined as the aggregate effectiveness of the mitigation features ((Active and Passive and Emergency Response) in a building that are provided to protect the structure, occupants, emergency responders, and property from losses associated with anticipated hazards primarily due to fire exposure and subsequent collapse. • “Building Safety Success” can be defined as meeting the goals for the reduction of life and property loss that are acceptable and economically supportable. This is the core concept of acceptable risk. Acceptable building safety risk is that level of anticipated loss that each entity impacted can accept if a hazardous event occurs. It is based on the probabilities that the various mitigation strategies will perform as intended and it can be measured as a quantitative value, a qualitative value, or both. • Identify and analyze a building’s hazards and the potential mitigations of those hazards that positively impact building safety and also considers their probability for successful performance
3. Define set of risk factors (and scales) for risk assessment • Set of RF: complete, clear, avoid redundancy. • Pursue Hierarchical Structure ( i.e. inference tree). • See example on next slide. • Process: 1st draft today (8/3/07); post for revisions; complete by 9/5/07. • Each factor requires a narrative definition and a scale. • Whenever possible use objective scale, defining best and worst. • [0,1] factors are allowed. • Risk factor constraints are allowed as necessary conditions for G or R.
Example from U.S. Navy Vessel Refueling Decision • Major categories • Task Difficulty • Environmental • Equipment Readiness • Manpower Readiness
Risk Factors • 1. Exiting • 2. Compartmentation • 3. Smoke Management • 4. Automatic Sprinklering • 5. Fire-Resistive Construction • 6. Structural Integrity • 7. Better Inspection and Maintenance Compliance • 8. Emergency Response • 9. Occupancy Type
4. 4. Define relative importance of each risk factor. • Method of Pair-wise Comparisons • Rank order the set and use least important as anchor to elicit relative importance; repeat using most important as anchor. • Make effort to exploit the hierarchy. • Process • Voting: Average and post results • Start voting on 9/07/07; post Round 1 results by 9/18/07; post Round 2 results by 9/28/07. • Eliminate factors if weight is less than 1% and more than 15 factors.
5. Calibrate Scoring Model for Acceptable Risk on Building Safety Performance. • Create a set of Bldg Design/Operating Scenarios where bldg safety performance is on margin with respect to Acceptable Risk. • Each scenario has an SME creator who provides a narrative and set of risk factor scores. • Once a scenario is created other SMEs may weigh in on scores and make a GAR vote; scenario is eliminated if simple majority vote it as G or R. (cont.)
5. Calibrate Scoring Model for Acceptable Risk on Building Safety Performance. • Need Scenarios: My worry is with too few rather than too many. • Each scenario produces a risk index score and their range defines the Amber range in the GAR scale. • Process: Start 10/1/07; complete by 11/1/07.19
Review & Fine Tune Prototype Model • In Jan/Feb ’08, post the BFP Features Study Group prototype model for input from larger group of building safety professionals. • Revisions to • Constraints on risk factors • Relative weights of risk factors • Ruling out any scenarios on acceptable risk margin