Ying Zuo

Beihang University | BUAA · Research Institute for Frontier Science

Autoclave is the most important equipment in the composite curing process, and its real-time condition has a direct impact on the quality of composite materials. Therefore, rapid and precise fault diagnosis reasoning is of great significance for the autoclave. To address the shortage of signed directed graph (SDG)-based fault diagnosis method, this...

End-face defect control (EF-DC) of the hot-rolled coil is crucial to the quality management. The core of EF-DC is to identify defects accurately, predict defects in advance, and improve production in time to prevent similar defects. The current research works on EF-DC are mainly at the defect recognition stage, which merely rely on the operating da...

With the promotion and application of the digital twin system in the industrial Internet platform, and around the "intelligent, integrated, and service-oriented" manufacturing characteristics, a digital twin system manufacturing service network with full-process, full-object, and full-factor coverage of virtual and real resources has gradually form...

Real-time control of complex process equipment is a crucial aspect for product quality assurance in the flow shop. However, there are two bottleneck problems, including the inaccurate quality prediction and the unstable process control, which would lead to poor product quality. To solve these problems, a data-driven real-time product quality predic...

Nowadays, most of the manufacturing industries rely on effective shop floor schedules to improve productivity and to optimize the makespan, production cost, tardiness, etc., which are usually considered in traditional scheduling problems. Recently, in response to the global initiatives for sustainability in manufacturing industries, an increasing n...

As an important part of the real economy, manufacturing industry plays a major role in the whole human society. Smart manufacturing has become a strategic issue for many countries. Smart manufacturing puts forward higher requirements for the intelligence of shop-floor production process, product operation and maintenance, logistics and supply chain...

Manufacturing service composition is a key technology in service-oriented manufacturing systems. Service correlation is a mix-order correlation, which is supposed to be defined as adjacent-order correlation (AO-C) and non-adjacent-order correlation (NAO-C). The existing works mainly focus on AO-C without considering NAO-C, and constantly lead to th...

The steel production scheduling is a typical continuous/discrete hybrid process; it is dynamic and difficult to predict. The scheduling model is the core object of steel production scheduling, and its modeling methods directly affect the precise decision-making and execution efficiency of scheduling. However, the current linear program and simulati...

Numerous optimization problems exist in the product and process design, engineering, and planning, as well as production management, and the evolutionary algorithms (EAs) have been proved to be effective optimization methods to solve these problems. However, how to choose the appropriate EA is one of the key issues due to the variety of EAs and lac...

Energy consumption (EC) is a key factor in green design of products, which systematically considers environmental impacts and comprehensive benefits. However, as there is no physical entity in the design phase, it is difficult to obtain EC data in product life cycle and thus hard to make accurate design decisions. In view of this problem, this chap...

To realize collaboration among distributed enterprises, manufacturing service collaboration on Industrial Internet platform is an efficient method. However, the low degree of participation resulted by the sense of distrust, dissatisfaction, and insecurity hinders the widely application of Industrial Internet platform. Therefore, a secure, trustwort...

Combining information technology and green manufacturing theory, the concept of energy consumption bill of materials (ECBOM) are first proposed, which is similar to Manufacturing BOM (MBOM), Plan BOM (PBOM) or other extended BOM for different business scenarios. ECBOM will become an effective informatization aid for green manufacturing in product l...

As numerous Industrial Internet platforms emerge, manufacturing services are shared among multiple stakeholders more frequently than ever. The optimal selection of shared manufacturing service composition (MSC) should both promise the task completion and the stakeholders' satisfaction. However, as commercial entities, stakeholders concentrate on no...

Data acquisition of manufacturing equipment and process is the foundation to achieve intelligent shop-floor. Due to the instantaneity and suddenness of sudden small-volume data (SSVData), sensitive perception and high frequency acquisition are necessary. However, continuous high frequency acquisition will result in a large amount of data, which bri...

Green material optimal-selection in product design is a key issue for realizing sustainable manufacturing. In order to improve the accuracy and efficiency for green material optimal-selection in product, a new method driven by digital twin (DT) is proposed. In this method, an optimal evolvement model which is an evolving and high-fidelity digital t...

With the rapid development of 3R (VR, AR, MR) technology, there are higher continuously requirements for enhanced interaction characteristics of immersive, interactivity and multi-perception. As a new emerging information technology, 3R provide a potential solution to promote interaction and fusion for digital twin technology between physical space...

Human-machine interaction (HMI) is a key technology for implementing smart manufacturing, which primarily focuses on the issues of communication, interaction, and cooperation between humans and machines. HMI has been widely studied in product lifecycle including product design, manufacturing, and service, but the efficiency and safety still cannot...

Digital twin provides an effective way for the cyber-physical integration of manufacturing. Meanwhile, smart manufacturing services could optimize the entire business processes and operation procedure of manufacturing, to achieve a new higher level of productivity. The combination of smart manufacturing services and digital twin would radically cha...

Disassembly is a very important step in recycling and maintenance, particularly for energy saving. However, disassembly sequence planning (DSP) is a challenging combinatorial optimization problem due to complex constraints of many products. This paper considers partial and parallel disassembly sequence planning for solving the degrees-offreedom in...

Process planning can be an effective way to improve the energy efficiency of production processes. Aimed at reducing both energy consumption and processing time (PT), a comprehensive approach that considers feature sequencing, process selection, and physical resources allocation simultaneously is established in this paper. As the number of decision...

Energy consumption evaluation and analysis (ECEA) of a product entire life cycle is a key issue for realising green and sustainable manufacturing. In this paper, an Internet-of-things (IoT) and cloud-based novel approach for product ECEA is proposed in which the IoT technologies are employed for real-time and dynamic collection of energy consumptio...

Energy consumption in manufacturing has risen to be a global concern. Material selection in the product design phase is of great significance to energy conservation and emission reduction. However, because of the limitation of the current life cycle energy analysis and optimization method, such concerns have not been adequately addressed in materia...

Energy management system is an important means to realize energy saving emission reduction (ESER). Meanwhile, because of people?s bad habit of using energy, the abnormal energy consumption occur frequently. In order to solve this problem, a convenient energy management system, which can detect the abnormal energy, is designed. In this progress, it...

As a new emerging and fast growing technology, Internet of Things (loT) has been widely applied in many areas, such as health care, intelligent transportation and agriculture. However, in manufacturing, the IoT-based product lifecycle energy management (PLEM), which is still at its infant stage, has not caught enough attention yet. In order to bett...

Green material selection with energy-consideration (GMS-EC) in product design is a key issue for realizing green and sustainable manufacturing. In this paper, a comprehensive optimization model for GMS-EC is established. A hybrid optimizing method named chaos quantum group leader algorithm (CQGLA) is designed to obtain the optimal energy-consumptio...

Internet of Things (IoT) as a new emerging and fast growing technology has attracted lots of attention from worldwide recently. Successful applications of IoT have been demonstrated in many fields. However, IoT is still at its infant stage when it comes to the applications in product life-cycle energy management (PLEM). In this paper, the concept,...

Cloud-based manufacturing has been defined as CMfg. It is a system built on cloud computing technology that can integrate a large number of manufacturing resources. In a CMfg system, there are huge amounts of data and one of them is the video used to monitor manufacturing processes and learn knowledge. In cloud platform, the video data generate fas...

With the development of the supply chain network (SCN) and big data processing, a simple view at above two technologies separately has become unadvisable; this mainly reflected on the growing amount of data in the SCN nodes. Since the data processing is not timely, the potential risks may spread like dominoes to the entire network. There are many s...

In view of the problem that the relevant researches for current supply-demand matching of manufacturing service were short of unified system, to promote the development and applications of Service-Oriented Manufacturing (SOM) system, the concepts of manufacturing service's supply and demand and supply-demand matching in SOM system were summarized....

Recently, cloud manufacturing (CMfg) as a new service-oriented manufacturing mode has been paid wide attention around the world. However, one of the key technologies for implementing CMfg is how to realize manufacturing resource intelligent perception and access. In order to achieve intelligent perception and access of various manufacturing resourc...

Dynamic virtual enterprise (DVE) takes outsourcing as the main business mode and it allocates customer orders to appropriate suppliers by bidding or negotiation. The real-time query of the implementation status of orders is named order tracking. Provide order tracking service in DVE helps customers to participate in the manufacturing process of the...