规划具有成本效益的运营森林库存
Santeri Karppinen1, Liviu Ene2, Lovisa Engberg Sundström2
1Department of Mathematics and Statistics, University of Jyvaskyla, Seminaarinkatu 15, Jyvaskyla 40014, Finland.
Biometrics
|September 25, 2024
概括
这项研究通过平衡准确性成本与收获计划需求来优化林业库存决策. 一种新的近似方法有助于确定用于运营林业管理的最佳库存投资.
科学领域:
- 运营研究 运营研究
- 林业科学 林业科学
- 贝叶斯决策理论 贝叶斯决策理论
背景情况:
- 运营林业涉及复杂的决策,平衡资源估计与采伐物流.
- 采伐前库存的准确性影响木材量估计和随后的安排,但更高的准确性会产生更大的成本.
- 贝叶斯的两阶段决策框架适用于优化这些相互依存的操作选择.
研究的目的:
- 开发一种实用的方法,以优化在预算限制下运营林业的库存准确性决策.
- 将库存选择制定为最大化后期价值,考虑到收获时间表.
- 估计从不同的库存准确度中获得的信息的经济价值.
主要方法:
- 在预算约束下最大限度地提高后期价值,制定了外部阶段问题.
- 使用近似方法解决了计算难以解决的内部阶段 (NP-hard一般化的二次赋值问题).
- 结合蒙特卡洛采样与贪的随机方法来解决二进制优化问题.
- 将该方法应用于100个瑞典森林区域的数据集.
主要成果:
- 在整个数据集中为各种预算级别推导出最佳库存决策.
- 估计了可以从不同准确度的收获前库存中获得的信息的价值.
- 在林业中展示了一种复杂的贝叶斯决策问题的实用方法.
结论:
- 开发的近似方法为优化运营林业库存决策提供了可行的解决方案.
- 平衡库存准确性和成本对于高效的木材采伐和资源管理至关重要.
- 该研究量化了信息的价值,帮助对森林库存进行战略投资.
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