We address a challenging tank blending and scheduling problem that arises in the specialty chemical industry. We model the problem as a nonconvex mixed-integer quadratically-constrainted programm (MIQCP) and then approximate this model as a mixed-integer linear program (MILP) using a discretization-based approach. We combine a rolling horizon approach with the discretization of individual chemical property specifications to deal with long scheduling horizons, time-varying quality specifications, and multiple suppliers with discrete arrival times. This approach has been evaluated using industry-representative data sets from the specialty chemical industry. We demonstrate that the proposed approach supports fast planning cycles.

我们解决了特种化学工业中出现的充满挑战的储罐混合和调度问题。我们将问题建模为非凸混合整数二次约束程​​序（MIQCP），然后使用基于离散化的方法将此模型近似为混合整数线性程序（MILP）。我们将滚动式方法与各个化学性质规格的离散化相结合，以应对较长的调度期，随时间变化的质量规格以及到达时间离散的多个供应商。已使用来自特种化学行业的行业代表性数据集对该方法进行了评估。我们证明了所提出的方法支持快速的计划周期。