In this work, a Mixed-Integer Nonlinear Programming (MINLP) modeling framework for
integrating short-term Crude-oil Scheduling (CS) and mid-term Refinery Planning (RP) has …

Refinery manufacturing and the downstream oil-product distribution should be highly
integrated in the refinery supply chain system. However, systematic studies dealing with …

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 …

Understanding the holistic relationship between refinery production scheduling (RPS) and
the cyber-physical production environment with smart scheduling is a new question posed in …

Crude oil port depots are key hubs in oil trade and thus play a vital role in the crude oil
supply chain. Based on the characteristics of the scheduling system in an oil port depot, the …

IMPL is both a structure-and semantic-based machine-coded proprietary software language
(closed-source) built upon the computer programming language Fortran to model and solve …

Modeling and optimization of large-scale refinery scheduling problems is challenging
because of their complexity and size. Herein, we propose a mathematical model to …

Crude oil operations are an important part of petroleum supply chain, including multiple
industrial processes such as crude oil procurement, crude oil distribution, crude oil …

We develop a linear programming (LP) approach for nonlinear (NLP) blending of streams to
approximate nonconvex quality constraints by considering property variables as constants …

Integrated scheduling optimization comprising the battery limits of crude-oil refineries is a
challenging problem to be solved as it includes decisions concerning the quantity and …