47. How OR has Impacted Decisions in Natural Resources
Invited abstract in session FC-1: Plenary Address - Andres Weintraub, cluster Plenary Talks.
Friday, 14:00-15:00Room: CE-SF
Authors (first author is the speaker)
| 1. | Andrés Weintraub
|
| Industrial engineering, University of Chile |
Abstract
OR has been very successful in supporting managerial decisions in several areas of natural resources. This talk will mostly present work we have carried out applying OR and Analytics in multiple problems in forest decision making. This considers problems on how to best harvest forests, including locating harvesting machinery and roads, spatial aspects related to environmental issues, uncertainties due to market conditions and how to integrate supply chains. These problems have led to difficult-to-solve models. Techniques used include LP, MIP, Heuristics and Meta-Heuristics ,Simulation, Stochastic Programming. In most cases, we can show the advantages of using these techniques, and discuss where they have been successfully implemented and why not in other cases. Our latest work is in fuel management related to forest fires, that is, how to manage a forest (developing fire breaks and areas treated so fire can be stopped) so that when fires break out, damage can be minimized. The damage is measured in risks to human lives, property losses, carbon emissions and damage to wildlife. We are developing techniques based on developing large data sets, machine learning and stochastic simulation to interact with optimization techniques to support these decisions. We will also show successful models to support decisions in mining extraction and salmon farming.
Keywords
- Applications, Agriculture and Forestry
- Environmental Management
- Natural Resources
Status: accepted
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