Advances of embedded resistive random access memory in industrial manufacturing and its potential applications

Embedded memory,which heavily relies on the manufacturing process,has been widely adopted in various industrial applications.As the field of embedded memory continues to evolve,innovative strategies are emerging to enhance performance.Among them,resistive random access memory(RRAM)has gained significant attention due to its numerousadvantages over traditional memory devices,including high speed(<1 ns),high density(4 F^(2)·n^(-1)),high scalability(~nm),and low power consumption(~pJ).This review focuses on the recent progress of embedded RRAM in industrial manufacturing and its potentialapplications.It provides a brief introduction to the concepts and advantages of RRAM,discusses the key factors that impact its industrial manufacturing,and presents the commercial progress driven by cutting-edge nanotechnology,which has been pursued by manysemiconductor giants.Additionally,it highlights the adoption of embedded RRAM in emerging applications within the realm of the Internet of Things and future intelligent computing,with a particular emphasis on its role in neuromorphic computing.Finally,the review discusses thecurrent challenges and provides insights into the prospects of embedded RRAM in the era of big data and artificial intelligence.

Advanced Industrial Engineering in Next Generation of Manufacturing Systems

The article deals with possible approaches to the development trends in the industrial engineering in manufacturing organizations. The authors emphasize the need for integration of advanced industrial engineering in the next generation of manufacturing systems, which responds to new trends of production, innovation and advanced technology. This integration represents a sustainable development, so that humanization of work are increased, more effective use of natural and energy resources are achieved and production costs are reduced. Trends in the products manufacturing must meet both industrial engineering as well as production management. The development trends in the industrial engineering in manufacturing organizations must use methods and tools of advanced industrial engineering to achieve competitiveness. The second part of this article deals with specification of these approaches in next generation of production systems.

Robust Deadlock Avoidance Policy for Automated Manufacturing System With Multiple Unreliable Resources

This work studies the robust deadlock control of automated manufacturing systems with multiple unreliable resources. Our goal is to ensure the continuous production of the jobs that only require reliable resources. To reach this goal, we propose a new modified Banker's algorithm(MBA) to ensure that all resources required by these jobs can be freed. Moreover,a Petri net based deadlock avoidance policy(DAP) is introduced to ensure that all jobs remaining in the system after executing the new MBA can complete their processing smoothly when their required unreliable resources are operational. The new MBA together with the DAP forms a new DAP that is robust to the failures of unreliable resources. Owing to the high permissiveness of the new MBA and the optimality of the DAP, it is tested to be more permissive than state-of-the-art control policies.

An Approach to Evaluate the Implementation Effects of Advanced Manufacturing Technology Based on the Specialists' Opinion Selection

Since domestic corporations firstly introduced into and implemented the Advanced Manufacturing Technology (AMT),how to scientifically evaluate the implementation effects of AMT has been an urgent problem.Through the review of for- eign relative studies,this paper constructs an indicator system used to evaluate the implementation effects of AMT.Operational performance,Organizational or managerial performance,Satisfactory performance,and Competitive performance are indicators of first level in the system,and 19 indicators of second level have been selected to estimate the implementation effects of AMT.In this study,a model based on Minkowski distance discriminance to select the specialists’ opinion was designed to evaluate the indica- tor system,and the measure’s validity and practicability was proved by a case study to a diesel engine factory.

The Achievements of Advanced Manufacturing Techniques in Aviation and Aerospace Industries

In this paper, the recent achievements in the advanced manufacturing technology are presented. The laser forming of sheet metals, rapid forming, precision casting, precision forging, inertia friction welding are developed for aviation and aerospace industries. The main topics including the advantages, principle of manufacturing, processing parameters and control, typical processing applied in practice and typical work-pieces for those advanced manufacturing technologies are summarized.

Effects of Job Characteristics on Performance of Advanced Manufacturing Technology:an Empirical Examination to Equipment-manufacturing Industry

Advanced manufacturing technology(AMT)is pivotal for firms to gain manufacturing performance and com- petitive advantage.Job characteristics,as a kind of important factors affecting the implementation effects of AMT ,have become the focus in the field of academy.Based on a literature review,this study refines the implementation effects of AMT into opera- tional performance,satisfaction and competitive performance,and reclassifies the job characteristics of AMT into job autonomy, job responsibility,job complexity and job significance.With a large sample of 307 equipment-manufacturing firms selected from the 2005 China International Equipment and Manufacturing Exposition,linear structural equation analysis(LIEREL)is per- formed to examine the relationships between job characteristics and the implementation effects of AMT.The results show that job re- sponsibility and job significance have positive effects on satisfaction;satisfaction is positively correlated with operational perfor- mance;operational performance positively affects competitive performance.The findings provide the guide for firms to improve satisfaction,achieve higher operational performance and further gain higher competitive by reasonable job redesign.

Modeling of Agile Manufacturing Execution Systems with an Agent-based Approach

Agile manufacturing execution systems (AMES) are used to help manufacturers optimize shop floor production in an agile way. And the modeling of AMES is the key issue of realizing AMES. This paper presents an agent-based approach to AMES modeling. Firstly, the characteristics of AMES and its requirements on modeling are discussed. Secondly, a comparative analysis of modeling methods is carried out, and AMES modeling using an agent-based approach is put forward. Agent-based modeling method not only inherit the favorable features of traditional object-oriented modeling method such as data encapsulation, modularity and so on, but also has the ability to construct intelligent, rational and autonomous agent which can cooperate together to realize the goal of agile operation. A general agent architecture used in AMES modeling is described. Under this architecture, an agent can be divided into domain-independent components and domain-specific components which helps solve problems such as information overload, incomplete information handling and soft decision-making. Furthermore, an AMES model using four types of agents, i.e., interface agent, information agent, resource agent and management agent, is established. Thirdly, a snapshot of AMES model is provided in the case study. Especially, an agent-based cooperating process of task scheduling in AMES is illustrated in detail. Finally, the advantages and disadvantages of this modeling approach are discussed as well.

A Mini-Review and Perspective on Current Best Practice and Emerging Industry 4.0 Methods for Risk Reduction in Advanced Composites Manufacturing

The manufacturing of composite structures is a highly complex task with inevitable risks, particularly associated with aleatoric and epistemic uncertainty of both the materials and processes, as well as the need for in-situ decision-making to mitigate defects during manufacturing. In the context of aerospace composites production in particular, there is a heightened impetus to address and reduce this risk. Current qualification and substantiation frameworks within the aerospace industry define tractable methods for risk reduction. In parallel, Industry 4.0 is an emerging set of technologies and tools that can enable better decision-making towards risk reduction, supported by data-driven models. It offers new paradigms for manufacturers, by virtue of enabling in-situ decisions for optimizing the process as a dynamic system. However, the static nature of current (pre-Industry 4.0) best-practice frameworks may be viewed as at odds with this emerging novel approach. In addition, many of the predictive tools leveraged in an Industry 4.0 system are black-box in nature, which presents other concerns of tractability, interpretability and ultimately risk. This article presents a perspective on the current state-of-the-art in the aerospace composites industry focusing on risk reduction in the autoclave processing, as an example system, while reviewing current trends and needs towards a Composites 4.0 future.

Study on the Collaboration between Advanced Manufacturing Technology and Production Process

The advanced manufacturing technology of mechanical products features interaction, and high simulation, etc. In this paper, a digital geometry model for the processing is established with the aid of computer technology, so that the needs of machinery manufacturing production and precision machining can be fulfilled, and also the simulation, validation, comparison, and optimization of many plans can be implemented for ultimately finding out an optimal processing method and realizing the benefit of low cost and high quality. From two different levels of activity and parts, the configuration principle of mechanical products＇ advanced manufacturing technology is defined. Therefore, the advanced manufacturing technology for customizing different products can be derived, and also the reuse of different types of parts is realized. Finally, this is verified with an example.

激光冲击强化技术在核电领域的研究进展

激光冲击强化技术属于改善金属性能的重要表面形变强化技术,因其独特的技术优势在航天及船舶领域获得广泛应用。随着科技的发展研发出多种激光冲击强化技术,并逐渐开始在核电装备领域获得应用,然而针对该技术在核电领域的研究进展缺乏系统的综述。先通过介绍不同表面形变强化技术,叙述激光冲击强化技术的发展,阐述激光冲击强化机制,最后综述激光冲击强化技术在核电领域的应用研究进展。总结发现,激光冲击强化技术可有效改善核电领域材料力学、摩擦磨损及腐蚀性能,但传统和添加辅助手段激光冲击强化技术受约束层和吸收层影响较大,无涂激光冲击强化技术对金属易产生热效应,飞秒激光冲击强化影响层浅且强化效果差,不同工艺技术在核电领域提升摩擦磨损性能研究较少。对不同工艺激光冲击强化机理及在核电领域材料不同性能的提升进行深入研究,为进一步提升激光冲击强化技术在核电领域材料的应用提供理论基础,可为核电领域关键装备进行强化、提升核电装备运行寿命提供参考。

纺织科技发展前沿

随着科学技术的创新和进步,纺织行业不断迭代升级。前沿技术的跨界与融合,在理论、应用领域不断推动纺织科技取得重大进步与突破。通过介绍先进技术在纺织纤维材料、纺织智能制造、纺织绿色加工和先进纺织品领域的应用,综述了纺织行业从纤维到制造,再到后道加工和应用的全流程研究进展,总结了纺织纤维先进制备技术、计算机数字化技术在纺织制造领域的应用,和以环保为核心的纺织绿色加工技术、高科技纺织品在各大产业的应用。随着科技的进一步革新以及对绿色纺织品的更高要求,以高效化、数字化、智能化、绿色化为导向的多元发展仍是纺织技术革命的方向。

我国先进制造业与生产性服务业融合生态位研究

基于2012-2021年省级面板数据,运用生态位模型测度先进制造业与生产性服务业融合差异与竞争现状。结果表明:先进制造业与生产性服务业融合生态位宽度空间上呈现东高西低分布特征,其中融合基础生态位宽度两极分化极其严重是导致我国生态位宽度呈梯度分布的主要原因。生态位重叠现象普遍,区域间存在激烈竞争,其中地理位置和优势主导产业相近更易形成相同的融合路线,导致重叠度较高。生态位适宜度整体水平偏低,融合子系统生态位适宜度均呈现“东高、中平、西低”特征。

基于翻转课堂模式的先进制造技术课程思政教学改革与实践

先进制造技术是一门涉及多学科交叉的制造方向前沿专业课程,该文基于翻转课堂的模式可以打破传统“独角戏”教学课堂,能够有效激发学生学习兴趣,增强课程的广度和深度。利用线上线下混合式教学平台构建课程模块,解决内容繁杂、学时紧张等教学难题,充分发挥教师的思政引领作用,将环境和可持续发展、爱国精神、工匠精神、钻研精神和思辨思维等思政元素润物无声地融入到先进制造技术课程教育中。通过教学改革与实践,取得良好的效果。

地方竞争与区域协同导向下先进制造业政策适配性评估——以粤港澳大湾区九市为例

先进制造业作为引领经济高质量发展的基础力量,政府政策支持是增强其竞争力与协同度的必要条件。在地市层面,先进制造业政策普遍孤立且内容同构。政策适配性作为专门的理论视角有助于解决此类问题。它包括政策竞争取向与产业竞争力适配、政策配置水平与供给能力适配、政策协同取向与产业协同度适配三个维度,突出积极政策目的和相对需求标准。进一步构建评估的操作化方案并用于粤港澳大湾区九市实证分析,发现部分地市政策在相应维度的适配性欠佳且行业差异较大,政策目标未能紧扣产业结构中的短板进行设置,政策工具泛化且统筹分工机制不健全。为此,可从政策导向与要素选择、资源利用与政策创新、权责划分与统筹协调等方面着力,推动地市先进制造业政策适配性提升。

“两业”融合与先进制造业全要素生产率

现代服务业和先进制造业深度融合是中国参与大国博弈与产业竞争的重要抓手,是实现先进制造业高质量发展的重要途径。基于2003—2021年沪深A股上市公司数据,实证检验“两业”融合对先进制造业全要素生产率(TFP)的影响。实证结果表明:“两业”融合显著提升了先进制造业TFP。异质性分析表明,“两业”融合对先进制造业TFP的影响在国有企业及大型企业中更为显著,分行业来看,专用设备制造业以及计算机、通信和其他电子设备制造业与现代服务业融合之后,能够显著提升行业TFP。机制检验发现,“两业”融合主要通过改进技术创新、缓解融资约束、优化资源配置等渠道对先进制造业TFP起到促进作用。据此提出引导先进制造业与现代服务业深度融合、积极发展数字经济和现代服务业、鼓励企业之间协同创新以及减弱要素流动壁垒等政策建议。

长三角城市群FDI、技术创新与先进制造业集群发展

FDI和技术创新是长三角城市群先进制造业集群发展的重要影响因素。文章基于2010—2021年长三角城市群26个城市面板数据,分析FDI对先进制造业集群发展的直接作用机制以及技术创新在FDI与先进制造业集群发展之间的中介作用机制,并运用面板回归模型和中介效应模型检验理论假设。研究结果表明:长三角城市群FDI对先进制造业集群发展具有显著的正向作用,其作用机制主要表现为促进集群网络化、产业链优化和劳动力流动;技术创新在FDI与先进制造业集群发展之间具有显著的中介作用。根据研究结论提出长三角城市群促进FDI高质量发展、提高先进制造业集群的科技创新能力、加强FDI与技术创新的协同效应等政策建议。

中药工业智能制造转型模式及监管问题探讨

中药制药工业质量控制水平的提升需要以科技创新为引领,以先进制药工程技术为支撑。智能制造融合了先进制造技术与信息技术,已经成为提高制造业质量与效益的先进生产方式。本研究聚焦中药工业实施智能制造重大战略工程,根据中药产品质量及其制造流程的特点,结合中药制药工业面临的管控问题以及智能制造技术特征,提出中药产业发展智能制造的转型方向,核心包括由基于经验的控制向以数据为驱动力的控制转型、产品检验向过程管控转型、分散向集成转型,以及药品制造向药品全生命周期服务转型等领域的突破。总结近年来中药标杆性企业在智能制造技术研究方面取得的成果以及产业转化进展,讨论中药产业在智能制造转型过程中面临的监管问题,以期为中药工业实施智能制造项目的系统架构规划与技术路线设计提供参考。

固相搅拌摩擦沉积增材制造技术研究进展

搅拌摩擦沉积增材(Additive friction stir deposition,AFSD)是一种先进的固相增材制造(Additive manufacturing, AM)技术。与传统基于熔融的增材制造技术相比,它具有增材结构致密、材料低变形和过程高效节能等优势,在航空装备制造、交通运输、机械制造等领域拥有广阔的应用前景。本文综述了AFSD技术的原理、优势、组织演变特点和应用情况。重点介绍了AFSD过程中“工艺条件-微观组织-力学性能”相关性的研究现状,沉积材料力学性能受材料流动状态、界面连接机制、微观组织演变情况的综合影响。列举了AFSD技术在大型构件整体制造、高性能涂层、表面缺陷修复等领域的应用。最后,对AFSD技术进行了展望,指出该技术在工艺与组织变化耦合、原位变形条件模拟、工具头设计和新材料增材等方面需进一步研究和突破。

面向先进制造的机械加工工艺教学改革方法研究

依据机械制造技术课程教学改革要求,对教学内容、教学方法、教学设计等进行了优化和重构。针对课程现状存在的问题,对教学内容进行重新设计;融合线上线下混合式教学模式;改进课程考核方案等。教学效果表明,该项教学改革提高了学生的面向先进制造的实践能力,提升了师资的教学水平。