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Linear programming model applied to scheduling of iron ore production at the Kiruna Mine, Sweden

机译:瑞典Kiruna Mine的铁矿石生产安排的线性规划模型

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A linear programming (LP) model to solve long and short term production scheduling problem for sublevel caving operations is presented. The LP Model is designed as a multi time period problem to provide monthly schedules that meet production, blending and sequencing requirements. One of the most important issues during the development of the LP model was the requirement of sequencing between blocks. In this mathematical mode, unique constraints that ensure sequencing of the stopes are developed. A new decomposition technique is introduced to come up with a schedule for a model with large number of variables. The suggestion concerning how to handle large number of variables are given. The scheduling results obtained based on the Kiruna Mine are further presented and discussed. The LP scheduling model was implemented on a data set obtained from Kiruna Iron Ore Mine, in Sweden. The initial MIP model implementation was successful and provided solution that optimized resource recovery while meeting monthly and yearly production constraints.
机译:提出了一种用于解决悬浮洞穴操作的长期生产调度问题的线性编程(LP)模型。 LP模型设计为多时间段问题,以提供满足生产,混合和排序要求的月度计划。 LP模型开发期间最重要的问题是块之间测序的要求。在该数学模式下,开发了确保停止排序的唯一约束。引入了一种新的分解技术来提出具有大量变量的模型的时间表。给出了如何处理大量变量的建议。进一步提出并讨论了基于基金矿获得的调度结果。 LP调度模型在瑞典在基金铁矿石矿的数据集上实施。初始MIP模型实现成功,并提供了解决方案,在每月和年度生产约束时优化资源恢复。

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