<ctx:context-object xsi:schemaLocation="info:ofi/fmt:xml:xsd:ctx http://www.openurl.info/registry/docs/info:ofi/fmt:xml:xsd:ctx" timestamp="2021-08-27T17:15:14Z" xmlns:ctx="info:ofi/fmt:xml:xsd:ctx" xmlns:xsi="http://www.w3.org/2001/XML"><ctx:referent><ctx:identifier>info:oai:pure.iiasa.ac.at:4501</ctx:identifier><ctx:metadata-by-val><ctx:format>info:ofi/fmt:xml:xsd:oai_dc</ctx:format><ctx:metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/">
        <dc:relation>https://pure.iiasa.ac.at/id/eprint/4501/</dc:relation>
        <dc:title>A Decision Model for the Risk Management of Hazardous Processes</dc:title>
        <dc:creator>Holmberg, J.</dc:creator>
        <dc:description>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;
&#13;
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.</dc:description>
        <dc:publisher>WP-95-095</dc:publisher>
        <dc:date>1995-09</dc:date>
        <dc:type>Monograph</dc:type>
        <dc:type>NonPeerReviewed</dc:type>
        <dc:format>text</dc:format>
        <dc:language>en</dc:language>
        <dc:identifier>https://pure.iiasa.ac.at/id/eprint/4501/1/WP-95-095.pdf</dc:identifier>
        <dc:identifier>  Holmberg, J.  (1995).  A Decision Model for the Risk Management of Hazardous Processes.   IIASA Working Paper. IIASA, Laxenburg, Austria: WP-95-095     </dc:identifier></oai_dc:dc></ctx:metadata></ctx:metadata-by-val></ctx:referent></ctx:context-object>