Reverse blending case study : Data set and results

Reverse blending (RB) is a new one-stage blending problem of Operational Research where the constraints of meeting the outputs requirements are similar to Blending Problem one, but where inputs are not pre-existing and need to be defined (in both number and composition) simultaneously with the quantities to be used in the blending process. RB was designed to meet the challenge of fertilizers mass customization, it can be used to obtain a wide variety of customized fertilizers from a small number of inputs, called Canonical Basis Inputs. These data include a data set of 700 fertilizer requirements and their characteristics as well as the results of the different problems related to RB.逆向配料（Reverse Blending, RB）是运筹学（Operational Research）领域的新型单阶段配料问题，其满足产出需求的约束条件与标准配料问题（Blending Problem）相仿，但输入原料并非预先设定，而是需要与配料过程中的原料使用量同步确定其数量与组分构成。该问题最初为应对肥料大规模定制化的挑战而设计，可通过少量被称为规范基输入原料（Canonical Basis Inputs）的基础原料，制备品类丰富的定制化肥料。本数据集包含700条肥料需求及其特征，以及与逆向配料问题相关的各类问题的求解结果。

搜集汇总

背景与挑战

背景概述

该数据集是一个关于Reverse Blending（反向混合）案例研究的数据集，专注于肥料大规模定制问题。它包含700个NPK肥料需求及其特性，以及通过优化方法生成的解决方案结果，旨在从少量标准输入中生产多种定制肥料，适用于运筹学、供应链管理和可持续农业领域的研究。