文献类型：期刊文献

英文题名：Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

作者：Qian, Feng[1];Zhong, Weimin[1];Du, Wenli[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2017

卷号：3

期号：2

起止页码：154

外文期刊名：ENGINEERING

收录：;EI(收录号：20180604771359);WOS:【SCI-EXPANDED(收录号:WOS:000401660800003)】；

基金：This research was supported by the National Natural Science Foundation of China (61333010, 61590923, 61422303). Some ideas in this research originated from the discussions in the No. 157 "Shuangqing" Forum hold by the National Natural Science Foundation of China. The authors express the sincere thanks to the National Natural Science Foundation of China and the experts in the Forum.

语种：英文

外文关键词：Process industry; Smart and optimal manufacturing; Green manufacturing; High-end manufacturing; Optimality assessment

摘要：Given the significant requirements for transforming and promoting the process industry, we present the major limitations of current petrochemical enterprises, including limitations in decision-making, production operation, efficiency and security, information integration, and so forth. To promote a vision of the process industry with efficient, green, and smart production, modern information technology should be utilized throughout the entire optimization process for production, management, and marketing. To focus on smart equipment in manufacturing processes, as well as on the adaptive intelligent optimization of the manufacturing process, operating mode, and supply chain management, we put forward several key scientific problems in engineering in a demand-driven and application-oriented manner, namely: (1)intelligent sensing and integration of all process information, including production and management information; (2)collaborative decision-making in the supply chain, industry chain, and value chain, driven by knowledge; (3)cooperative control and optimization of plant-wide production processes via human-cyber-physical interaction; and (4) life-cycle assessments for safety and environmental footprint monitoring, in addition to tracing analysis and risk control. In order to solve these limitations and core scientific problems, we further present fundamental theories and key technologies for smart and optimal manufacturing in the process industry. Although this paper discusses the process industry in China, the conclusions in this paper can be extended to the process industry around the world. (C) 2017 THE AUTHORS. Published by Elsevier LTD on behalf of the Chinese Academy of Engineering and Higher Education Press Limited Company.