Ana Paula Barbosa-Póvoa

TL;DR: In this paper, a general mathematical formulation for the simultaneous design and scheduling of multipurpose plants is presented, based on the Resource Task Network process representation, uses a periodic, uniform time grid, continuous-time representation and originates mixed integer nonlinear programs (MINLPs) or mixed integer linear programs (MILPs), depending on the type of tasks and objective function being considered.

TL;DR: The conclusions clearly show that the usage of real-time information on containers fill-levels, coupled with an optimization approach to define dynamic routes potentially increases the profit of waste management companies.

TL;DR: In this paper, the authors proposed a framework for assessing social sustainability aiming to support the associated decisions on the supply chain while considering the differences that exist within the different echelons of supply chain.

TL;DR: In this article, a mixed-integer linear programming (MILP) formulation is developed to support the design and planning of agri-food supply chains (AFSC), focusing on the strategic-tactical decisions of capacity definition, selection of processing technologies, and the establishment of product flows to achieve expected net present value maximisation.

TL;DR: In this article, the authors developed a MILP model that describes the oil products distribution through a pipeline that connects one refinery to one tank farm, which represents the interaction between the pipeline schedule and the internal restrictions at the tank farm.