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Reducing the Number of Decision Variables in Ready Mixed Concrete for Optimally Solving Small Instances in a Practical Time

机译:减少准备混凝土中的决策变量的数量,以在实际时间最佳地解决小型实例

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In this paper a new formulation is presented for optimally solving single depot Ready Mixed Concrete (RMC) with a homogeneous fleet. Most introduced models in the literature deal with individual deliveries; however, the proposed model is based on customers' specifications. This results in a reduction in the number of constraints as well as in the number of variables. Therefore, the solution space of the proposed formulation is smaller than similar ones introduced in the literature. Consequently, it can be solved faster than similar formulations, which provides an opportunity for optimally solving small to medium sized RMC problems. In practice, this formulation can be used for solving resource allocation tasks in RMC.
机译:本文提出了一种新的制剂,用于用均匀的舰队进行最佳地求解单个仓库现成混合混凝土(RMC)。大多数介绍了文献中的型号与个人交付;但是,所提出的模型基于客户的规格。这导致约束的数量以及变量的数量减少。因此,所提出的制剂的溶液空间小于文献中介绍的相似的溶液空间。因此,它可以比类似的配方更快地解决,这提供了最佳地解决小于中等大小的RMC问题的机会。在实践中,该配方可用于解决RMC中的资源分配任务。

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