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Linear Programming and Mixed Integer Programming in Management of Seedling Transportation

机译:苗木运输管理中的线性规划和混合整数规划

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In this paper, the applicability of linear programming (LP) in management of seedling transportation was compared to that of mixed integer programming (MIP). In the LP model, presented in an earlier paper, a linear objective function was used as a surrogate for the actual objective function, which is intrinsically nonlinear. In the LP model, transportation costs were determined per seedling, whereas in the MIP model they were based on vehicle loads. When the number of transported seedlings within a certain period decreased, for instance, due to planting through the growth period, the computational accuracy of the LP model was clearly lower than that of the MIP model. Despite that, differences in allocation of orders between these two models were small. Thus, in the actual business situation of Finnish nursery companies, standard LP seems to be an adequate tool for management of seedling transportation. From the standpoint of cost-efficient seedling business, planting through the growth period increased optimal transportation costs markedly. In addition to the seedling business, these results can be utilized in other types of business dealing with analogous transportation problems.
机译:本文将线性规划(LP)在幼苗运输管理中的适用性与混合整数编程(MIP)进行了比较。在较早纸张中呈现的LP模型中,使用线性物镜函数作为实际目标函数的替代物,其本质上是非线性的。在LP模型中,每次幼苗确定运输成本,而在MIP模型中,它们基于车辆载荷。例如,当某个时段内的运输幼苗的数量减少时,由于种植通过生长期,LP模型的计算精度明显低于MIP模型的计算精度。尽管如此,这两个模型之间的订单分配的差异很小。因此,在芬兰托儿所公司的实际业务形势中,标准LP似乎是幼苗运输管理的适当工具。从经济高效的苗圃业务的角度来看,通过增长期间种植增加最佳运输成本。除苗木业务外,这些结果还可以用于其他类型的业务,处理类似的运输问题。

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