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Fleet Scheduling in Underground Mines Using Constraint Programming

机译:使用约束规划的地下矿山舰队调度

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The profitability of an underground mine is greatly affected by the scheduling of the mobile production fleet. Today, most mine operations are scheduled manually, which is a tedious and error-prone activity. In this contribution, we present and formalize the underground mine scheduling problem, and propose a CP-based model for solving it. The model is evaluated on instances generated from real data. The results are promising and show a potential for further extensions.
机译:移动生产车队的调度极大地影响了地下矿山的盈利能力。如今,大多数矿山作业都是手动安排的,这是一个乏味且容易出错的活动。在此贡献中,我们提出并规范了地下矿山调度问题,并提出了基于CP的模型来解决该问题。该模型是根据从真实数据生成的实例进行评估的。结果令人鼓舞,并显示出进一步扩展的潜力。

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