Please use this identifier to cite or link to this item:
https://repository.iimb.ac.in/handle/123456789/617
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rao, Arza Keshava | en_US |
dc.contributor.author | Rao, Mendu Rammohan | en_US |
dc.date.accessioned | 2012-07-26T11:27:41Z | |
dc.date.accessioned | 2016-01-01T07:09:22Z | |
dc.date.accessioned | 2019-05-27T08:40:44Z | - |
dc.date.available | 2012-07-26T11:27:41Z | |
dc.date.available | 2016-01-01T07:09:22Z | |
dc.date.available | 2019-05-27T08:40:44Z | - |
dc.date.copyright | 1996 | en_US |
dc.date.issued | 1996 | |
dc.identifier.other | WP_IIMB_89 | - |
dc.identifier.uri | http://repository.iimb.ac.in/handle/123456789/617 | - |
dc.description.abstract | The 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.iso | en | en_US |
dc.publisher | Indian Institute of Management Bangalore | - |
dc.relation.ispartofseries | IIMB Working Paper-89 | - |
dc.subject | Cinema schedule, advertisement | - |
dc.subject | Mathematical programming problem | - |
dc.subject | Nonlinear constraints | - |
dc.title | Media planning: maximizing gross OTS | en_US |
dc.type | Working Paper | |
dc.pages | 19p. | |
dc.identifier.accession | E27883 | |
Appears in Collections: | 1996 |
Files in This Item:
File | Description | Size | Format | |
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WP.IIMB.89.pdf | 1.17 MB | Adobe PDF | View/Open |
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