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A heuristic approach to long-range production planning of cement quarry operations

机译:启发式方法对水泥采石场进行长期生产计划

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摘要

Cement manufacturing requires sustained supply of raw materials from limestone quarry. Raw materials inventory in limestone quarry is identified as a block model, usually, consisting of thousands of blocks. Each block consists of a distinct amount of chemical constituents which are vital for cement production. An individual block never satisfies the process quality constraints; therefore, the blending of various quarry blocks with expensive additives purchased from the market becomes a prerequisite. The objective of a quarry production scheduling model is to mine available blocks in a sequence such that cement plant quantity and quality requirements are satisfied. Achieving a solution to the problem, where each block is defined as an integer (0-1) variable, often within reasonable time, has been a challenge for the mining industry. In this article, the complex production scheduling problem is divided into two sub-problems, where quarry sequencing algorithm develops feasible quarry plans and mixed integer linear programming based blending formulation minimises cost by selecting a plan that requires least amount of additives from the market. The implementation of methodology on an existing operation ensures time as well as cost savings compared to the schedules produced manually.
机译:水泥制造需要持续供应石灰石采石场的原材料。石灰石采石场的原材料库存被识别为块模型,通常由数千个块组成。每个区块都包含不同数量的化学成分,这些化学成分对于水泥生产至关重要。单个块永远不会满足过程质量约束;因此,将各种采石场与从市场上购买的昂贵添加剂进行混合成为前提。采石场生产调度模型的目标是按顺序开采可用的区块,从而满足水泥厂的数量和质量要求。对于通常在合理时间内将每个块定义为整数(0-1)变量的问题的解决方案,对采矿业来说是一个挑战。在本文中,复杂的生产计划问题分为两个子问题,其中,采石场排序算法开发可行的采石场计划,基于混合整数线性规划的混合配方通过选择市场上需求最少添加剂的计划来最大程度地降低成本。与手动生成的时间表相比,在现有操作上实施方法论可确保时间和成本节省。

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