Home Math for a better future

Chi siamo La nostra identità

Piattaforme I prodotti di Moxoff

Soluzioni La matematica per evolvere

Casi studio Esempi di storie di successo

Education La formazione su misura

Contattaci Il filo diretto con gli specialisti

Home

Chi siamo

Piattaforme

Soluzioni

Casi studio

Education

Contattaci

Magazine Unisciti a noi

case study

Media & Publishing

z = −1 + i nα = θ + 2πk f(x) = 3x − 2 z = −1 + i −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n

Media & Publishing

Support to the planning of a television schedule

An important Italian radio and television broadcaster has entrusted us with the realization of a decision support tool that helps out the channel managers in planning the schedules.

z = −1 + i nα = θ + 2πk f(x) = 3x − 2 z = −1 + i −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR} [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n

During the creation of the schedule, the channel manager has to manage multiple factors in order to decide the best placement of the content in it, in order to maximize audience ratings.
They must take into account all the scheduling constraints, the broadcasting rights available for each content, the target audience of the various time slots etc…
The tool we have developed supports the channel manager, producing an ordered list of titles that considers all the constraints. This content ranking is then used as input in an optimization model that, based on the expected performance and the different airing criteria, provides the optimal schedule for a time period of interest as a result.