This work is inspired by very challenging issues arising in space logistics. The problem of scheduling a number of activities, in a given time elapse, optimizing the resource exploitation is discussed. The available resources are not constant, as well as the request, relative to each job. The mathematical aspects are illustrated, providing a time-indexed MILP model. The case of a single resource is analysed first. Extensions, including the multi-resource case and the presence of additional conditions are considered. Possible applications are suggested and an in-depth experimental analysis is reported.
'Resource-constrained scheduling with non-constant capacity and non-regular activities' by Giorgio Fasano. To appear in: Giorgio Fasano and János D. Pintér, Eds.: Space Engineering: Modeling and Optimization with Case Studies. Springer Science + Business Media, New York, 2016