Operations Research in the Natural Resource Industry T. Bjørndal∗ • I. Herrero∗∗ • A. Newman§ • C. Romero† • A. Weintraub‡ ∗Portsmouth Business School, University of Portsmouth, Portsmouth, United Kingdom ∗∗Department of Economy and Business, University Pablo de Olavide, Seville, Spain §Division of Economics and Business, Colorado School of Mines, Golden, CO 80401 USA †Department of Forest Economics and Management, Technical University of Madrid, Madrid, Spain ‡Industrial Engineering Department, University of Chile, Santiago, Chile
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[email protected] Abstract Operations research is becoming increasingly prevalent in the natural resource sector, specif- ically, in agriculture, fisheries, forestry and mining. While there are similar research questions in these areas, e.g., how to harvest and/or extract the resources and how to account for environ- mental impacts, there are also differences, e.g., the length of time associated with a growth and harvesting or extraction cycle, and whether or not the resource is renewable. Research in all four areas is at different levels of advancement in terms of the methodology currently developed and the acceptance of implementable plans and policies. In this paper, we review the most recent and seminal work in all four areas, considering modeling, algorithmic developments, and application. Keywords: operations research, optimization, simulation, stochastic modeling, literature re- view, natural resources, agriculture, fisheries, forestry, mining §Corresponding author 1 1 Introduction Operations research has played an important role in the analysis and decision making of natural resources, specifically, in agriculture, fisheries, forestry and mining, in the last 40 years (Weintraub et al., 2007).