Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/123456789/617
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dc.contributor.authorRao, Arza Keshavaen_US
dc.contributor.authorRao, Mendu Rammohanen_US
dc.date.accessioned2012-07-26T11:27:41Z
dc.date.accessioned2016-01-01T07:09:22Z
dc.date.accessioned2019-05-27T08:40:44Z-
dc.date.available2012-07-26T11:27:41Z
dc.date.available2016-01-01T07:09:22Z
dc.date.available2019-05-27T08:40:44Z-
dc.date.copyright1996en_US
dc.date.issued1996
dc.identifier.otherWP_IIMB_89-
dc.identifier.urihttp://repository.iimb.ac.in/handle/123456789/617-
dc.description.abstractThe problem of generating a cinema schedule for advertisement to maximize gross OTS ( Opportunities-To-See ) attracted the attention of media plan researchers. The development of a cinema schedule so that desired Reach is achieved in each town and the total cost of advertisement does not exceed a given budget was formulated as a mathematical programming problem. The problem has a linear objective function with nonlinear constraints and integer variables, A heuristic procedure was developed by researchers in the past to solve the problem. In this paper a nested dynamic programming formulation is given to obtain an optimal solution to the problem. The structure of the optimal solution and solution procedure for a special case is also discussed.
dc.language.isoenen_US
dc.publisherIndian Institute of Management Bangalore-
dc.relation.ispartofseriesIIMB Working Paper-89-
dc.subjectCinema schedule, advertisement-
dc.subjectMathematical programming problem-
dc.subjectNonlinear constraints-
dc.titleMedia planning: maximizing gross OTSen_US
dc.typeWorking Paper
dc.pages19p.
dc.identifier.accessionE27883
Appears in Collections:1996
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