Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/5182
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dc.creatorBienstock, Daniel-
dc.creatorShapiro, Jeremy F., 1939--
dc.date2004-05-28T19:26:52Z-
dc.date2004-05-28T19:26:52Z-
dc.date1984-05-
dc.date.accessioned2013-10-09T02:38:11Z-
dc.date.available2013-10-09T02:38:11Z-
dc.date.issued2013-10-09-
dc.identifierhttp://hdl.handle.net/1721.1/5182-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionThis paper reports on the application of stochastic programming with recourse models to strategic planning problems typical of those faced by an electric utility. A prototype model was constructed using realistic data, and optimized using Benders' decomposition method. The decomposition treats simultaneously stochastic programming and mixed integer programming structures arising naturally in strategicplanning models.-
dc.descriptionRevised January 1985-
dc.format1215606 bytes-
dc.formatapplication/pdf-
dc.languageen_US-
dc.publisherMassachusetts Institute of Technology, Operations Research Center-
dc.relationOperations Research Center Working Paper;OR 128-84-
dc.titleStochastic Programming Models for Strategic Planning: An Application to Electric Utilities-
dc.typeWorking Paper-
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