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Managing Reliability and Stability Risks in Forest Harvesting

机译:管理森林采伐中的可靠性和稳定性风险

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The timing of forest stands harvesting is an important operational decision in forestry. Major goals of private nonindustrial forest owners are to achieve a steady flow of profits while reaching an overall satisfactory and reliable profit level. These goals are pursued under uncertainties in the growth of trees in different regions and in the prices of wood products. We propose an optimization framework that uses financial risk concepts to capture the above goals and uncertainties, and apply it to a real forestry problem in Finland. Our results demonstrate that the obtained harvesting schedules outperform those obtained without the explicit consideration of the stability and reliability requirements in harvest profits. More generally, our results indicate that the forest owner can improve the profit stability by (i) harvesting a greater number of forest stands early and (ii) harvesting in the first periods of the planning horizon stands that are predominantly composed of slow-growing forests. This research responds to the call for scenario-based approaches that represent well, and in a solvable way, multiple uncertainties in large forestry problems. This study fills in a gap in stochastic programming and can be a cornerstone for subsequent improvements in the solution of combinatorial chance-constrained problems with multirow random technology matrix.
机译:林分采伐的时机是林业的一项重要业务决策。私有非工业林所有者的主要目标是实现稳定的利润流,同时达到总体上令人满意和可靠的利润水平。这些目标是在不同地区的树木生长和木制品价格存在不确定性的情况下追求的。我们提出了一个优化框架,该框架使用财务风险概念来捕获上述目标和不确定性,并将其应用于芬兰的实际林业问题。我们的结果表明,在没有明确考虑收获利润的稳定性和可靠性要求的情况下,所获得的收获计划优于那些收获计划。更普遍地说,我们的结果表明,林主可以通过(i)尽早采伐更多的林分和(ii)在主要由生长缓慢的森林组成的规划视野的第一期采伐来提高利润稳定性。这项研究回应了对基于情景的方法的呼吁,这种方法可以很好地解决大型林业问题中的多种不确定性,并且可以解决。这项研究填补了随机编程中的空白,并且可以作为后续改进多行随机技术矩阵组合机会约束问题解决方案的基石。

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