Resource Management


Coordinators: José Correa and Iván Rapaport

This line is devoted to the resolution of critical problems arising from the productive sector and in the creation of public policies, with a special focus on resource optimization and sustainability. Its scope goes from natural resource management to scheduling and logistics. The team is composed by mathematicians and engineers with expertise in areas such as continuous and discrete optimization, algorithms, operations research and networks.

Areas of application

  • Sustainable management of natural resources
  • Operations management
  • Public health policies
  • Resource allocation
  • Routing
  • Logistics
  • Scheduling
  • Pricing
  • Energy efficiency
  • eRetail
  • Algorithmic management

Ongoing projects

  • “New Methods for Biological Control of the Arboviruses (NEMBICA)” STIC AmSud 20-STIC-05
  • Technological solutions, based on advanced mathematical machine learning techniques, to increase efficiency in hospital management (Fondef)
  • Robust delivery management: multi-depot and multiple time windows (Fondef)
  • Management of surgery pavilions in hospitals oriented to reduce waiting lists (Service contract with Hospital Dr. Luis Calvo Mackenna, Children’s hospital)
  • Prediction of no-show in hospital services (Service contract with Hospital Dr. Luis Calvo Mackenna, Children’s hospital)
  • Analyzing the demand for classrooms and the effective available capacity (School of Engineering, Universidad de Chile)
  • Optimal design of protocols for detection and treatment of sexual diseases in penitentiary populations (Math AmSud)
  • Stability of optimization and variational systems with application to natural resources management (REDES program with Australian centers)
  • Analysis of massive historical data on the use of locations in urban cemeteries and computational tools for market expansion prediction (collaboration with private company: Los Parques S.A.)
  • Optimization of the production of microalgae (Équipe Associé GreenCore – Inria Nice, France)