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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/5486
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dc.contributor.authorSteiner, Georgeen_US
dc.contributor.authorMcMaster University, Faculty of Businessen_US
dc.date.accessioned2014-06-17T20:41:07Z-
dc.date.available2014-06-17T20:41:07Z-
dc.date.created2013-12-23en_US
dc.date.issued1982-06en_US
dc.identifier.otherdsb/145en_US
dc.identifier.other1144en_US
dc.identifier.other4944168en_US
dc.identifier.urihttp://hdl.handle.net/11375/5486-
dc.description<p>21, 5 leaves : ; Includes bibliographical references (leaf [22]). ; "June, 1982."</p>en_US
dc.description.abstract<p>Consider the set of tasks that are partiallv ordered by precedence constraints. The tasks are to be sequenced so that a given objective function will assume its optimal value over the set of feasible solutions. A subset of tasks is called feasible, if for every task in the subset, all of its predecessors are also in the subset. We present an efficient dynamic proqramminq solution to the problem, when the constraining Partial order has a dimension < 2. This is done by defining a "compact" labelinq scheme and a very efficient enumerative procedure for all the feasible subsets. In this process a new characterization is qiven for 2-dimensional partial orders.</p>en_US
dc.relation.ispartofseriesResearch and working paper series (McMaster University. Faculty of Business)en_US
dc.relation.ispartofseriesno. 188en_US
dc.subjectBusinessen_US
dc.subjectBusinessen_US
dc.subject.lccProduction scheduling > Mathematical models Sequences (Mathematics) Linear programmingen_US
dc.titleSingle machine scheduling with precedence constraints of dimension 2en_US
dc.typearticleen_US
Appears in Collections:DeGroote School of Business Working Paper Series

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