Some principles for acceptance criteria for online risk picture

Slides:



Advertisements
Similar presentations
Risk Analysis Fundamentals and Application Robert L. Griffin International Plant Protection Convention Food and Agriculture Organization of the UN.
Advertisements

Decision Making Under Uncertainty CSE 495 Resources: –Russell and Norwick’s book.
Case Study in Successful Risk Management – The Oil and Gas Industry in Norway Some critical reflections Terje Aven University of Stavanger, Norway.
Introduction Dr. Yan Liu Department of Biomedical, Industrial & Human Factors Engineering Wright State University.
Review: What influences confidence intervals?
CS 589 Information Risk Management 23 January 2007.
Vectus Ltd Copyright Page 1 Safety Process in Vectus ’ PRT Project Inge Alme: Safety Manager Jörgen Gustafsson: CTO.
Predictions of Utility Theory About the Nature of Demand References: Varian: Ch 8 Slutsky Equation (Especially Appendix to Chapter 8) Supplementary Reference:
Risk Analysis vs Security Controls. Security Controls Risk assessment is a flawed safeguard selection method. There is a tendency to confuse security.
Decision Making Under Risk and Uncertainty: An Overview Lecture II.
Uncertainty Management in Rule-based Expert Systems
Managing Risk CHAPTER SEVEN Student Version Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin.
“ Building Strong “ Delivering Integrated, Sustainable, Water Resources Solutions The Contemporary Language of Risk Analysis Campaign Goal 2a Risk Technology.
S ystems Analysis Laboratory Helsinki University of Technology 1 Decision Analysis Raimo P. Hämäläinen Systems Analysis Laboratory Helsinki University.
Chapter 11 – Introduction to Risk Analysis u Why do individuals, companies, and stockholders take risks?
Probabilistic Risk Assessment and Conceptual Design Bryan C Fuqua – SAIC Diana DeMott – SAIC
Uncertainty and Reliability Analysis D Nagesh Kumar, IISc Water Resources Planning and Management: M6L2 Stochastic Optimization.
Predictions of Utility Theory About the Nature of Demand References: Varian: Ch 8 Slutsky Equation (Especially Appendix to Chapter 8) Suplementary References:
The Nature & Method of Economics. The Economic Perspective Not just about money but rather decision making and social phenomenon Applies to all facets.
Tom.h.wilson Department of Geology and Geography West Virginia University Morgantown, WV.
Tom.h.wilson Department of Geology and Geography West Virginia University Morgantown, WV.
Regular process for global reporting and assessment of the state of the marine environment, including socio-economic aspects Guidance for Authors.
Lecture 8 Social Regulation. Correction of market failures, not dealing with the natural monopoly problem Regulation of health, safety, environment, public.
Virtual University of Pakistan
Virtual University of Pakistan
Hardware & Software Reliability
12. Principles of Parameter Estimation
NON-CONFORMITIES AND EXEMPTIONS AERONAUTICAL STUDIES
C h a p t e r 2 EFFICIENCY, MARKETS, AND GOVERNMENTS
Introduction to estimation: 2 cases
BUSINESS ETHICS 1.
Breaking Down Your Sales Target
Section 2: Science as a Process
Introduction to Simulation Modelling
Hypothesis Testing and Confidence Intervals (Part 1): Using the Standard Normal Lecture 8 Justin Kern October 10 and 12, 2017.
Situation ethics lesson 4
EFFICIENCY, MARKETS, AND GOVERNMENTS
Psychology as a science
SAMPLING (Zikmund, Chapter 12.
The Nature of Qualitative Research
HSE Case: Risk Based Approach.
Introduction.
Recap Questions What is interactionism?
Climate Surprises, Catastrophes
SAMPLING.
Review: What influences confidence intervals?
Introduction to Philosophy Lecture 15 Ethics #1: Utilitarianism
St. Edward’s University
Generating and Refining Research Ideas
1 Limits, Alternatives, and Choices
Geology Geomath Chapter 7 - Statistics tom.h.wilson
The Basic Tools of Finance
The Basic Tools of Finance
Slides by JOHN LOUCKS St. Edward’s University.
Basic Economic Concepts (Continued…)
Scientific Methods The goal of any scientific method is to solve a problem or to better understand an observed event.
Societal Security – Risk communication – Dialogues on risk issues
Pest Risk Analysis (PRA) Stage 2: Pest Risk Assessment
Uncertainty Logical approach problem: we do not always know complete truth about the environment Example: Leave(t) = leave for airport t minutes before.
Chapter 24: Capital Investment Decisions
Perfect Competition - Final
EAST GRADE course 2019 Introduction to Meta-Analysis
COP statistic proposal for UN-WLTP
SOS 510 Perspectives on Sustainability Chuck Redman Oct. 29, 2018
Chapter 9: Significance Testing
From Randomness to Probability
12. Principles of Parameter Estimation
The Basic Tools of Finance
State University of Telecommunications
Design Issues Lecture Topic 6.
Presentation transcript:

Some principles for acceptance criteria for online risk picture Jørn Vatn, NTNU

Principle 1 Acceptance criteria shall contribute to good decisions

Principle 1 Acceptance criteria shall contribute to good decisions A good decision should Reflect preference structures Take uncertainty into account

Principle 2 Online criteria shall reflect the same preference structure as stated in the acceptance criteria for average considerations

What is acceptance criteria? Acceptance criteria define lines of demarcation between what is acceptable, and what is not acceptable Acceptance criteria (AC) may be defined for any condition, variable, action, behaviour etc. Risk acceptance criteria (RAC) define criteria related to risk

Note Risk acceptance criteria may be in conflict with stated preference structures: Abrahamsen and Aven (2008) show that the use of risk acceptance criteria may violate the independence axiom of the expected utility theory In risk management frameworks RAC are important, whereas use of consistent frameworks like utility theory is not!

What is risk? Within the risk analysis society two different views are often presented: Risk exists independent of the analyst, i.e., risk is a property of a technical system, a socio-technical system etc. Risk is generally uncertain, we have not sufficient data to assess the true risk. Risk is uncertainty related to future events. Uncertainty means that the risk analyst does not know everything regarding future events.

Principle 3 The way we express and use risk acceptance criteria should reflect our understanding of risk Risk is a property: In this perspective risk exist, but is usually unknown. The analyst needs to take uncertainty into account, e.g., letting the risk, R, be a random quantity. It is required to define how a random quantity can be compared to the RAC! Risk is uncertainty: To express risk, probabilities are used to express the uncertainty. Probabilities are not random quantities, hence it is easier to compare with RAC In the following, approach 2 is pursued

What is risk? Position 2: Risk is essentially the answer to 3 fundamental questions dealing with uncertainty: What can go wrong? Will it go wrong? And if so, how bad will it be? Probabilities are used to express uncertainty Probabilities do not exist, i.e., they represent personal believes Probabilities are not uncertain, but conditional to our understanding

Risk picture (1) A set of undesired events, the causes and factors that may contribute to the event, the possible consequences of the event with corresponding influencing factors …

Risk picture (2) A set of undesired events, the causes and factors that may contribute to the event, the possible consequences of the event with corresponding influencing factors, and uncertainties related to all these issues Risk = Uncertainty regarding events  RAC Causes and factors are not risk  AC

Average conditions, examples Acceptance criteria - AC The Norwegian Activity Instruction § 76 and the Governing instruction § 2 require that there are two independent barriers protecting against the well stream and that the status of these shall always be known It is not acceptable to drive the car if you are not sober It is not acceptable to drive the car if you do not have a driving license

Average conditions, examples Risk acceptance criteria - RAC FAR = 10, i.e., the expected number of fatalities per 108 work hour shall be less than 10 (oil and gas) PLL = 11, i.e., the expected number of fatalities in Norwegian rail operation shall be less than 11 f-N curve 

How to set RAC? It is hard to spot any scientific arguments Scientific in the “natural science” sense would in any case be meaningless Three approaches often used Historical rates (Unacceptable to go in the wrong direction, i.e., increasing risk) Comparisson with other activities or threats Extra risk by an activity should be insignificant in relation to baseline risk, MEM (IEC 61508)

Principle 1 Acceptance criteria shall contribute to good decisions It is hard to really see that the way RAC are defined and used today really supports good decisions Principle 1 is really a bit shaky !

“Online” questions (from Lars) Can hot work be performed in the area in which you have degraded barriers? What are acceptable risk compensating measures upon barrier degradation? It is not obvious that these are online risk decisions The principles, or the way to argue, need to be defined in advance, but used “online”

Principle 2 Online criteria shall reflect the same preference structure as stated in the acceptance criteria for average considerations Given average consideration RACs, we may in principle deduce online implications Risk allocation principles are required

Risk allocation Risk allocation is often recommended when high level RAC should be distributed to low level RACs, e.g., SIL = Safety Integrity Levels on safety function level In the Norwegian oil & gas industry this is regarded almost impossible, hence OLF 70 propose other approaches Principle 2 would be very demanding!

The 2 questions and risk allocation - 2nd attempt Can hot work be performed in the area in which you have degraded barriers? (Q1) What are acceptable risk compensating measures upon barrier degradation? (Q2) Proposed principles Assume overall (average) RAC are fulfilled Assume risk contribution from each “scenario” is known, and “optimized” from the QRA. On scenario level (totals) we shall have: Instantaneous risk cannot exceed average scenario risk by more than one order of magnitude (Q1) Long term risk increase cannot exceed 10% (Q2)

Note the following The numbers (tenfold and 10%) are rather arbitrary, but some case studies may verify these numbers (with modifications) The approach would require static and operational risk analysis to be combined Expected utility theory would have “solved” the normative issues in Q1 and Q2 whereas the RAC approach by no means are able to handle these in a similar traceable manner