This paper introduces SPOT (Scheduling Programs Optimally for Television), an analytical model for optimal prime-time TV program scheduling. Due in part to the advent of new cable TV channels, the competition for viewer ratings has intensified substantially in recent years, and the revenues of the major networks have not kept pace with the costs of the programs. As profit margins decrease, the networks seek to improve their viewer ratings with innovative scheduling strategies. Our SPOT models for scheduling network programs combine predicted ratings for different combinations of prime-time schedules with a novel, mixed-integer, generalized network-based flow, mathematical programming model, which, when solved, provides an optimal schedule. In addition to historical performance, subjective inputs from actual network managers were used as input to the network flow optimization model. The optimization model is flexible. It can utilize the managers' input and maximize profit (instead of ratings), by considering not only the revenue potential but also the costs of the shows. Moreover, SPOT can describe the scheduling problem over any time period (e.g., day, week, month, season), and designate certain shows to, and restrict them from, given time slots. The methodology of SPOT is illustrated using data for the first quarter of 1990, obtained from a cable network. The optimization model produces solutions which would have generated an increase of approximately 2 percent in overall profitability, representing over $6 million annually for the cable network. SPOT not only produces more profitable TV schedules for this network, but also provides valuable general insights into the development of mixed programming strategies for improving future schedules.
Reddy et al. REF developed an optimal prime time TV program scheduler based on the mixed-integer near-network flow model that was successfully tested using the 1990 data from a U.S. cable TV network.
SPOT: Scheduling Programs Optimally for Television
Management Science
Economics