INFORMS Annual Meeting se llevó a cabo en la ciudad de Houston TX, los días 23, 24 y 25 de noviembre, donde tres miembros del laboratorio participaron exponiendo parte de su trabajo en las sesiones técnicas de la conferencia.
Nelson Morales - Production and Construction Optimization in Underground Mining
The planning and design of underground mines is a very complex task that requires to balance multiple considerations like economical value and geotechnical constraints in order to generate an extraction and a construction plan. Due to this complexity, the problem is solved in different stages and scopes, which lead to suboptimal solutions or even infeasibilities. In this work we present a MIP model which aims to optimize mine plans in underground mines. We show how this model can then be coupled with other models in order to generate more comprehensive plans that integrate aspects like geomechanics or operational uncertainty.
Enrique Jelvez - An Efficient Frontier Analysis to Determine Final Pit under Geological Uncertainty
The final pit problem consists of finding the set of blocks that maximizes the undiscounted value of exploitation subject to precedence constraints. Although there exist efficient algorithms to compute it in a deterministic setting, the information on which this decision is made is subject to uncertainty. In this work, we present a comparison of several options to calculate final pit, including geological uncertainty given by a number of conditional simulations. In particular, we develop a model that allows us to generate the efficient frontier of final pit alternatives in the expected return-risk context, when the risk is measured in terms of Conditional Value at Risk.
Valentina Rojas - Activity Scheduling in Mine Construction
Construction of a mine is critical because it defines the available area for production, but proper model of a plan schedule can be hard, because there may be different ways to reach certain part of the mine, different potential technologies to use or because some activities may collaborate in order to achieve a common goal. In this talk we present a MIP model that abstracts these considerations and compare solution approaches on several mining methods.