A Perspective on Smart Process Manufacturing Research Challenges forProcess Systems Engineers

作     者：Ian David Lockhart Bogle 

作者机构：Center for Process Systems Engineering Department of Chemical Engineering University College London London WC1E 7JE UK 

出 版 物：《Engineering》 (工程（英文）)

年 卷 期：2017年第3卷第2期

页      面：161-165页

核心收录：

学科分类：07[理学] 08[工学] 

主　　题：Smart manufacturing Process systems engineering Uncertainty Flexibility Optimization Model-based control 

摘      要：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 been made in achieving plant- and site-wide optimization, hut benchmarking would give greater confidence. Technical challenges confrontingprocess systems engineers in developing enabling tools and techniques are discussed regarding flexibilityand uncertainty, responsiveness and agility, robustness and security, the prediction of mixture propertiesand function, and new modeling and mathematics paradigms. Exploiting intelligence from big data to driveagility will require tackling new challenges, such as how to ensure the consistency and confidentiality ofdata through long and complex supply chains. Modeling challenges also exist, and involve ensuring that allkey aspects are properly modeled, particularly where health, safety, and environmental concerns requireaccurate predictions of small but critical amounts at specific locations. Environmental concerns will requireus to keep a closer track on all molecular species so that they are optimally used to create sustainablesolutions. Disruptive business models may result, particularly from new personalized products, but that isdifficult to predict.