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Harnessing the power of IBM Analytics to enable smarter, more sustainable management of forest roads
技术
- 分析与建模 - 预测分析
适用行业
- 教育
用例
- 预测性维护
服务
- 数据科学服务
挑战
华盛顿大学环境学院与许多外部公司和机构合作,其中包括美国州政府部门,该部门管理着州信托土地上约 210 万英亩的林地。该部门还管理着全州 15,000 英里的林业道路,这些道路对于机械和人员到达森林偏远地区进行木材采伐、维护或娱乐活动至关重要。学院的任务是研究最佳、最可持续的方式来支持该部门完成其复杂的任务,即维护森林道路网络并帮助木材公司优化采伐流程——同时将成本和环境影响降至最低。
关于客户
华盛顿大学环境学院研究地球的大气、土地和水系统以及人类对它们的影响。它还研究环境问题的工程和技术解决方案,以及政府政策对环境变化的影响。该学院与许多外部公司和机构合作,包括一个美国州政府部门,该部门管理着州信托土地上约 210 万英亩的森林。该部门还管理着全州 15,000 英里以上的森林道路,这些道路对于机械和人员到达森林的偏远地区进行木材采伐、维护或娱乐活动至关重要。
解决方案
该学院选择实施 IBM ILOG CPLEX Optimizer 和 Concert Technology,这是一种数学优化解决方案,可帮助研究人员构建高效的优化模型,然后解决高度复杂的问题,以在给定的约束条件下找到最佳解决方案。在这种情况下,目标是将用于安排木材采伐的现有模型与用于安排森林道路维护的新模型相结合。这将使政府和木材公司能够协调和优化采伐时间和森林道路的维护 - 不仅可以节省运营成本,还可以评估是否有必要继续维护整个森林道路网络,或者是否可以淘汰部分道路。
运营影响
数量效益
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