The ever-increasing demand for heating in different sectors, along with more preventative
regulations on greenhouse emissions, has forced different countries to seek new …

Smart manufacturing will transform the oil refining and petrochemical sector into a
connected, information-driven environment. Using real-time and high-value support …

摘要石油和化工行业是国家的基础性产业, 目前面临转型升级的重大需求.
本文首先回顾了石油和化工行业在生产全流程的信息检测, 建模, 优化控制 …

To identify optimal ionic liquids (ILs) for CO2 capture, an efficient computer-aided IL design
(CAILD) approach is desired. The traditional CAILD methods usually combine an equation …

Supply chain operations and scheduling are well-studied problems in the literature.
Although these problems are related, they are often solved sequentially. This uncoordinated …

Refinery planning under uncertainty has gained tremendous attention, and this paper
bridges deep learning and robust optimization to address this issue. First, we propose a …

Production planning and scheduling are becoming the core of production management,
which support the decision of a petrochemical company. The optimization of production …

The challenges posed by smart manufacturing for the process industries and for process
systems engineering (PSE) researchers are discussed in this article. Much progress has …

The integrated refinery-petrochemical plant produces multiple oil products and
petrochemical materials, which process consumes large amounts of energy and generates …

In this paper, we review the role of data as a “bridge” connecting the different time/length
scales of chemical processes in mathematical modeling and multiscale, integrated decision …