In this paper, we present a MILP clustering formulation for tackling the operational management of crude oil supply (OMCOS) proposed by de Assis et al. (2019). The OMCOS consists of defining the scheduling of vessel trips between offshore platforms and a crude oil terminal, combined with the scheduling of operations in a terminal to supply crude oil to distillation columns. The benefits of using the clustering solution as a pre-step before solving the OMCOS are: (a) reduces the number of routes for vessels; (b) simplifies offloading and unloading operations; (c) imposes rules for crude mixtures in clusters of storage tanks that minimize property variations; and (d) produces bounds on crude properties inside storage tanks that are used to linearize bilinear terms in blending constraints. Through the combination of clusters and a MILP-NLP decomposition, near optimal solutions were obtained for a set of representative instances of OMCOS at a reduced computational cost.

在本文中，我们提出了由de Assis等提出的用于解决原油供应（OMCOS）运营管理的MILP聚类公式。（2019）。OMCOS包括定义海上平台和原油码头之间的船程安排，以及码头向蒸馏塔供应原油的操作安排。使用集群解决方案作为解决OMCOS之前的第一步的好处是：（a）减少了船只的航线数量；（b）简化卸货和卸货操作；（c）对储罐群中的原油混合物强加了规则，以尽量减少性能变化；（d）产生储罐内原油特性的界限，该界限用于使混合约束中的双线性项线性化。