<mets:mets OBJID="eprint_4501" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2024-01-01T23:50:00Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>IIASA Repository</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_4501_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>A Decision Model for the Risk Management of Hazardous Processes</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">J.</mods:namePart><mods:namePart type="family">Holmberg</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>We formulate a decision model for the risk management of hazardous processes as an optimization problem of a point process. The essential features of the model are: long-term (process lifetime) objective function which is a risk-averse utility function, a dynamic risk model (marked point process model) representing the stochastic process of events observable or unobservable to the decision-maker and a long-term control variable guiding the selection of optimal solutions for short-term problems. &#13;
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The model is demonstrated by a case study of a hazardous process with reparable safety systems, such as a nuclear power plant. The short-term decision problem of the case study is whether it is sometimes beneficial to temporarily shut the process down in order to cut, off the high risk periods. The long-term decision problem is to optimize a long-term control variable that determines which decision alternative is preferred in a case of increased risk in the process: (1) to shut the process down during the repair time or (2) to continue the operation. Several long-term strategies are analysed and compared. As a solution approach for the optimization problem, we use the stochastic quasi-gradient procedure.</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">1995-09</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>WP-95-095</mods:publisher></mods:originInfo><mods:genre>Monograph</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_4501"><mets:rightsMD ID="rights_eprint_4501_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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