Myopic Heuristics for the Random Yield Problem
Operations Research
Structural Properties of Stochastic Dynamic Programs
Operations Research
Multistage Production to Order with Rework Capability
Management Science
Scheduling Commercials on Broadcast Television
Operations Research
Production Planning Under Yield and Demand Uncertainty with Yield-Dependent Cost and Price
Manufacturing & Service Operations Management
Stochastic Comparisons in Production Yield Management
Operations Research
Sourcing with random yields and stochastic demand: A newsvendor approach
Computers and Operations Research
Competitive Options, Supply Contracting, and Electronic Markets
Management Science
Dynamic Programming and Optimal Control, Vol. II
Dynamic Programming and Optimal Control, Vol. II
Revenue Management of Callable Products
Management Science
Resource and Revenue Management in Nonprofit Operations
Operations Research
OR PRACTICE---Scheduling of Dynamic In-Game Advertising
Operations Research
The Newsvendor Problem with Advertising Revenue
Manufacturing & Service Operations Management
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An important challenge faced by media broadcasting companies is how to allocate limited advertising space between upfront (forward) contracts and the spot market (referred to in advertising as the scatter market) to maximize profits and meet contractual commitments. We develop stylized optimization models of airtime capacity planning and allocation across multiple clients under audience uncertainty. In a short-term profit maximizing setting, our results provide insight for capacity planning decisions upfront and during the broadcasting season. Our results suggest that broadcasting companies should prioritize upfront clients according to marginal revenue per audience unit. We find that accepted upfront market contracts can be aggregated across clients and served in proportion to the audience demanded. Closed-form solutions are obtained in a static setting. These results remain valid in a dynamic setting, when considering the opportunity to increase allocation by airing make-goods during the broadcasting season. Our structural results characterize the impact of contracting parameters, time, and audience uncertainty on profits and capacity decisions. The results hold under general audience and spot market profit models. Overall, we find that ignoring audience uncertainty can have a significant cost for media capacity planning and allocation.