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Decision Conferencing in Nuclear Emergency Management

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Decision Conferencing in Nuclear Emergency Management by Raimo P. H m l inen Mats Lindstedt Kari Sinkko – PowerPoint PPT presentation

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Title: Decision Conferencing in Nuclear Emergency Management


1
Decision Conferencing in Nuclear Emergency
Management
  • by
  • Raimo P. Hämäläinen
  • Mats Lindstedt
  • Kari Sinkko

2
Contents of presentation
  • background of the study
  • decision conferences at STUK
  • results and conclusions

3
RODOS project
  • a Real-time On-line DecisiOn Support project to
    develop a group support system for nuclear
    emergency management
  • sponsored by the European Commission and started
    in 1990
  • in Finland STUK (Radiation and Nuclear Safety
    Authority) participates in the project
  • the decision conferences were part of the RODOS
    project and organized by STUK

4
Objectives
  • to study decision conferencing and its
    suitability in RODOS
  • to study the use of the RODOS software
  • to study the incorporation of uncertainties

5
Decision conferencing
  • refers to intensive, computer supported meetings
  • a group of people develops a shared understanding
    of a common problem
  • develops a decision analysis model, assisted by a
    facilitator
  • originally a two-day meeting

6
Decision conferencing
  • here a faster type of decision conferencing was
    used (a few hours)
  • prestructured value trees or separate decision
    making groups
  • decision analysis interviews

7
Conferences at STUK
  • early phase countermeasures (a few hours after
    the accident)
  • iodine tablets, sheltering, and evacuation
  • the RODOS software was used to calculate accident
    data and impacts of countermeasures
  • first phase of the conferences values and
    attributes
  • second phase of the conferences uncertainties
  • participants from STUK and from the Finnish
    nuclear power companies

8
Conferences at STUK
9
Conferences at STUK
10
Objectives of the first conference
  • to define the factors and attributes important
    when deciding on countermeasures
  • no uncertainties included

11
Problem structuring session
Preliminary value tree
12
First decision conference
Final value tree
13
First decision conference-the strategies and
their impacts
14
First decision conference- weights given by
participants
15
First decision conference- rankings
2
1
3
16
Second decision conference
  • uncertainties included
  • it was known that an accident had happened, but
    it was not known how severe it had been
  • 5, 50, and 95 fractiles used
  • three accident scenarios

17
Second decision conference
Final value tree
18
Second decision conference-impacts
19
Second decision conference- eliciting utility
functions
Lottery question Please select the number of
cancer incidents (L) that would make you
indifferent between getting that amount for
sure and a fifty-fifty chance of getting 250
cancer incidents or 0 incidents.
20
Second decision conference- utility functions
21
Second decision conference- weights
22
Second decision conference
Ranking with SMART
Ranking with Tradeoff
23
Second decision conference- ranking with SMART
(95 fractile)
24
Observations
  • the decision conferencing format was successful
  • a lot of progress was made in just a few hours,
    with more training this method could be used in a
    real situation
  • using prestructured value trees or benchmarks
    seems a promising way forward
  • brainstorming was a good way to get the process
    started
  • the participants were able to agree on the value
    trees
  • provides a common framework from which to discuss
    the situation

25
Problems
  • the choice of strategies was too limited, the
    best choice was too obvious
  • the attributes need to be better defined
  • the terminology used needs to be clearer
  • the case assumed a single decision point, in
    reality sequential decision making would be used
  • the participants did not feel that the weighting
    of the attributes was very appropriate

26
Understanding uncertainties
  • this was found to be very difficult
  • the participants rather focused on the worst case
    scenario (95 fractile) and ignored the
    probabilities
  • there was no uncertainty about the accident, if
    there had been the situation would have been even
    more difficult

27
Conclusions - RODOS software
  • still a prototype, but could have worked better
  • problems with presenting the data using thematic
    maps
  • does not yet allow what-if analyses
  • the software was not used very much during the
    conferences
  • the participants felt RODOS could be used to
    provide data on the accident and to calculate
    impacts
  • they did not feel RODOS could help in the actual
    decision making

28
References
  • Hämäläinen, R. P, Leikola, O. 1996. Spontaneous
    Decision Conferencing with Top-level Politicians.
    OR Insights Vol 9, pp. 24-28.
  • Hämäläinen R.P., Sinkko K., Lindstedt M. 1999.
    Multi-Attribute Risk Analysis in Nuclear
    Emergency Management. Risk Analysis, 2000.
  • Hämäläinen R.P., Sinkko K., Lindstedt M., Ammann
    M. and Salo A. 1998. RODOS and decision
    conferencing on early phase protective actions in
    Finland, Radiation and Nuclear Safety Authority,
    STUK-A159, December, pp. 1-76. Downloadable at
    http//www.hut.fi/Units/SAL/Publications/
  • Hämäläinen R.P., Sinkko K., Lindstedt M., Ammann
    M. and Salo A. 1999. Decision analysis interviews
    on protective actions in Finland supported by
    RODOS system. Radiation and Nuclear Safety
    Authority, STUK-A173, February 2000, pp. 57. Also
    RODOS Report - Decision Support for Nuclear
    Emergencies, RODOS(WG7)-TN(99)-04.
  • Hämäläinen R.P., Lindstedt M. and Sinkko K. 2000.
    Decision analysis interviews in nuclear emergency
    management. Manuscript.
  • French, S., Finck, R., Hämäläinen, R.P.,
    Naadland, E., Roed, J., Salo, A. and Sinkko K..
    1995. An exercise on clean-up actions in an urban
    environment after a nuclear accident, Nordic
    Decision Conference, Sweden, 20-31, August.
  • Hämäläinen R P. 1988. Computer Assisted Energy
    Policy Analysis in the Parliament of Finland.
    Interfaces 4 (Vol. 18) 12-23.
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