Optimizing subscriber migrations for a telecommunication operator in uncertain context

We consider a telecommunications company expanding its network capacity to face an increasing demand. The can also invest in marketing incentivize clients shift more recent technologies, hopefully leading cheaper overall costs. To model the effect of campaigns, previous works have relied on Bass model. Since that only provides rough approximation actual shifting mechanism, purpose this work is uncertainty mechanism through lens robust optimization. thus assume (discrete) function take any value given polytope and wish optimize against worst-case realization. resulting optimization problem possesses integer recourse variables non-linear dependencies uncertain parameters. address these difficulties as follows. First, tackled heuristically piece-wise constant policy dictated by prior partition polytope. Second, non-linearities are handled careful analysis dominating scenarios. scalability economical relevance our models assessed numerical experiments performed realistic instances. In particular, we choose one instances perform case study with simulations illustrating possible benefit using