Engineering 3 (2017) 151Contents lists available at ScienceDirectEngineeringjournal homepage: www.elsevier.com/locate/engEditorialSmart and Optimal Manufacturing: The Key for the Transformation and Development of the Process IndustryFeng QianKey Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, ChinaIn recent years, smart manufactur-ing has been the focus of competition and collaboration between countries around the world. The major developed and developing countries are speeding up their strategic planning and layout for smart manufacturing. Germany, the United States, and China have released the Industry 4.0, Smart Process Man-ufacturing, and Made in China 2025 initiatives, respectively, which aim at a deep integration of information and communication technology and man-ufacturing technology, thus achieving seamless integration of prod-ucts, equipment, humans, and organizations.
The process industry, which mainly includes elementary raw material industries such as petroleum, chemical engineering, steel, nonferrous metal, and building materials, is a foundational indus-try not only for China, but also for other manufacturing powers including the United States. After decades of development, the in-dustrial structure of the Chinese process industry is gradually being upgraded and breakthrough technologies are emerging, making Chinese process industry a world leader in terms of scale. However, a gap still exists between the Chinese process industry and the in-ternational advanced process industry in terms of overall production effectiveness. In addition, the restrictions on China’s energy and re-sources are becoming increasingly aggravated and problems in safety and environmental protection are surfacing at an increasing rate.
The international process industry is at a critical and historic moment of transformation, resulting in the development of accurate production operations, efficient and smart manufacturing process-es, and system-optimized design with the integration of safety and environmental sustainability. This special issue therefore focuses on the following issues: how to handle challenges and opportunities in the trend of global manufacturing; how to solve bottleneck prob-lems in operating management, production operation, efficiency and security, and information integration using modern information technologies; how to develop the process industry at a steady pace in order to achieve efficient, green, and smart manufacturing; and how to realize the reform of the current modes of production, man-agement, and marketing. With the support of the Chinese Academy of Engineering, it is our great honor to invite academicians and renowned researchers from countries including Belgium, Canada, China, Italy, Portugal, Spain, the United Kingdom, and the United States to report new ideas, new theories, and new technologies in smart and optimal manufacturing in the process industry. The topics in this issue involve visions for smart and optimal manufacturing in the process industry, scientific problems and key technologies in the industry, opportunities and challenges that confront process system engineers in smart manufacturing, big-data-driven industrial pro-cess optimization, the performance evaluation and fault diagnosis of process operation, and the global optimization of production plan-ning and scheduling.
We express our sincere thanks to the authors who submitted papers to this special issue. Our goal for this issue is to report the state of the art in smart and optimal manufacturing in the process industry to our readers, and to outline some novel ideas in this field. In addition, we believe that this special issue will assist scholars at universities, research institutions, and enterprises to further un-derstand the essence of smart and optimal manufacturing in the process industry and to reach a consensus regarding industry devel-opment. In this way, we hope to enhance the current level of under-standing of smart manufacturing in the process industry and thus promote the entire manufacturing industry.
http://dx.doi.org/10.1016/J.ENG.2017.02.0162095-8099/© 2017 THE AUTHORS. Published by Elsevier LTD on behalf of the Chinese Academy of Engineering and Higher Education Press Limited Company.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Engineering 2 (2016) xxx–xxxContents lists available at ScienceDirectEngineeringjournal homepage: www.elsevier.com/locate/engEditorial智能优化制造：流程工业转型发展的关键钱锋Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology,Shanghai 200237, China近年来，智能制造成为世界各国竞争和合作的焦点，主要发达和发展中国家纷纷加快战略规划和布局。德国、美国、中国相继发布了“工业4.0”战略、“智能过程制造”以及《中国制造2025》战略，旨在将信息、计算与通信技术与生产制造技术深度融合，实现产品、设备、人和组织之间的无缝集成与合作。流程工业主要包括石油、化工、钢铁、有色、建材等基础原材料工业，不仅是中国、也是美国等世界制造业大国的国民经济支柱和基础产业。经过数十年发展，中国流程工业产业结构逐步优化，关键技术不断取得突破，已发展成为世界上规模最大的流程工业制造国家；但中国在流程工业生产制造总体效能上仍与国际先进水平存在差距，体现在资源和能源的利用效率亟须提升、安全和环保问题日益突出等。就国际流程工业总体发展而言，其正处于历史的转型发展关键时刻，如企业生产的精准运营、制造过程的高效化和智能化、绿色安全导向的系统优化设计与集成等。因此，如何积极应对全球化制造新形势带来的机遇和挑战，有效利用现代信息技术，解决目前流程工业在经营决策层面、生产运行层面、能效安全环保层面以及信息集成层面存在的瓶颈问题，推进以高效化、绿色化和智能化制造为目标的流程工业稳步发展，实现生产、管理以及营销全过程模式的变革，是本专题栏目着重讨论的内容。在中国工程院的支持下，我们有幸邀请到来自英国、美国、加拿大、西班牙、意大利、比利时、葡萄牙以及中国的相关院士与知名学者报道他们在流程工业智能优化制造方面的新思想、新理论和新技术。主题涉及流程工业智能优化制造的愿景、工程科学问题和关键技术，智能制造背景下过程系统工程师所面临的机遇和挑战，大数据驱动的工业过程优化，过程运行的性能评价和故障诊断，以及生产运行计划排产的全局优化等。最后，衷心感谢本专题栏目论文作者的大力支持。希望通过此次专题栏目，及时报道流程工业智能优化制造领域的最新信息，挖掘最新观点以飧读者；并希望此专题论文有助于高校、科研院所、企业等相关领域的科研人员进一步深入理解流程工业智能优化制造的内涵，凝聚发展共识，推动和提升对流程工业乃至整个制造业智能制造发展的认识水平和技术水平。2095-8099/© 2017 THE AUTHORS. Published by Elsevier LTD on behalf of the Chinese Academy of Engineering and Higher Education Press Limited Company. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).英文原文: Engineering 2017, 3(2): 151引用本文: Feng Qian. Smart and Optimal Manufacturing: The Key for the Transformation and Development of the Process Industry. Engineering, http://dx.doi.org/10.1016/J.ENG.2017.02.016
