Fog-IBDIS:Industrial Big Data Integration and Sharing with Fog Computing for Manufacturing Systems

Industrial big data integration and sharing(IBDIS)is of great significance in managing and providing data for big data analysis in manufacturing systems.A novel fog-computing-based IBDIS approach called Fog-IBDIS is proposed in order to integrate and share industrial big data with high raw data security and low network traffic loads by moving the integration task from the cloud to the edge of networks.First,a task flow graph(TFG)is designed to model the data analysis process.The TFG is composed of several tasks,which are executed by the data owners through the Fog-IBDIS platform in order to protect raw data privacy.Second,the function of Fog-IBDIS to enable data integration and sharing is presented in five modules:TFG management,compilation and running control,the data integration model,the basic algorithm library,and the management component.Finally,a case study is presented to illustrate the implementation of Fog-IBDIS,which ensures raw data security by deploying the analysis tasks executed by the data generators,and eases the network traffic load by greatly reducing the volume of transmitted data.

Industry Linkage and Low-carbon Development--Based on Logistics Industry & Manufacturing Industry

Key project of " manufacturing industry and logistics industry linkage"was proposed in the Logistics Adjustment and Revitalization Plan by the state council in 2009. However the consumption and pollution generated by manufacturing industry and logistics industry linkage in China are also large at present. How to conduct manufacturing industry and logistics industry linkage by the low-carbon manner is one of most important issues under current low-carbon economy background. In this paper,the issue is studied and analyzed by constructing system dynamics model,which could propose suggestions for low-carbon linkage development of manufacturing industry and logistics industry.

Should China's Manufacturing Industry Transition Towards Both Ends of the "Smiling Curve" ?——A Comparative Analysis between China and Traditional Manufacturing Powers

The manufacturing sector in China has surpassed that of the United States in terms of scale.Yet it still suffers from the shocks of an international economic downturn,the lack of core technologies,and the impact of "re-industrialization" of the developed economies.Based on an evaluation of the "smiling curve" theory and selected trade data from 1991 to 2011,this paper performs a comparative analysis of the differences between the manufacturing sectors of China and those of the traditional manufacturing powers in terms of product categories and architecture.This analysis is conducted in order to explore the question of whether China should transition from being the "world's manufacturing plant" to both ends of the "smiling curve".The paper then introduces Japan's "inverted smiling curve " to explore whether profit margins remain in the manufacturing sector.Research shows that China's manufacturing capacity,especially its "integrated" product assembly capacity,has not been fully realized,and that the development of the manufacturing sector can still yield high market returns.As a result,it is necessary for China to continue the path of being the "world's manufacturing plant".

Integrated and Intelligent Manufacturing： Perspectives and Enablers

With ever-increasing market competition and advances in technology, more and more countries are prioritizing advanced manufacturing technology as their top priority for economic growth. Germany announced the Industry 4.0 strategy in 2013. The US government launched the Advanced Manufacturing Partnership （AMP） in 2011 and the National Network for Manufacturing Innovation （NNMI） in 2014. Most recently, the Manufacturing USA initiative was officially rolled out to further ＂leverage existing resources... to nurture manufacturing innovation and accelerate commercialization＂ by fostering close collaboration between industry, academia, and government partners. In 2015, the Chinese government officially published a 10- year plan and roadmap toward manufacturing： Made in China 2025. In all these national initiatives, the core technology development and implementation is in the area of advanced manufacturing systems. A new manufacturing paradigm is emerging, which can be characterized by two unique features： integrated manufacturing and intelligent manufacturing. This trend is in line with the progress of industrial revolutions, in which higher efficiency in production systems is being continuously pursued. To this end, 10 major technologies can be identified for the new manufacturing paradigm. This paper describes the rationales and needs for integrated and intelligent manufacturing （i2M） systems. Related technologies from different fields are also described. In particular, key technological enablers, such as the Intemet of Things and Services （IoTS）, cyber-physical systems （CPSs）, and cloud computing are discussed. Challenges are addressed with applica- tions that are based on commercially available platforms such as General Electric （GE）＇s Predix and PTC＇s ThingWorx.

Intelligent Support System for Healthcare Logistics 4.0 Optimization in the Covid Pandemic Context

The covid pandemic points out inconsistencies and points to improve in the organization of healthcare logistics. Indeed, the dangerousness and the propagation process of the virus imply to increase health security (patient and personal health). In this context, healthcare logistics flows require a new and safety organization improving the hospital performance. The purpose of this paper consists in optimizing healthcare logistics flows by solving problems associated to the internal logistics such as reduction of the personal health wasting time and the protection of both patients and personal health. Then, the methodology corresponds to the use of the hospital sustainable digital transformation as a response to healthcare flows and safety problems. Indeed, social, societal and environmental aspects have to be considered in addition to new technologies such as artificial intelligence (AI), Internet of Things (IoTs), Big data and analytics. These parameters could be used in the healthcare for increasing doctor, nurse, caregiver performance during their daily operations, and patient satisfaction. Indeed, this hospital digital transformation requires the use of large data associated to patients and personal health, algorithms, a performance measurement tool (actual and future state) and a general approach for transforming digitally the hospital flows. The paper findings show that the healthcare logistics performance could be improved with a sustainable digital transformation methodology and an intelligent software tool. This paper aims to develop this healthcare logistics 4.0 methodology and to elaborate the intelligent support system. After an introduction presenting the common hospital flows and their main problems, a literature review will be detailed for showing how existing concepts could contribute to the elaboration of a structured methodology. The structure of the intelligent software tool for the healthcare digital transformation and the tool development processes will be presented. An example will be given for illustrating the development of the tool.

Current Status of the Integrated Circuit Industry in China--IC Manufacturing Industry

Editorial Introduction: China's IC industry has been flourishing in recent years, huge market demand together with government investments are the major driving forces for this development. The status and development momentum of the Chinese IC industry also attracted wide interest and attention of international counterparts. A group of domestic IC experts are invited by the JoMM to write a series of articles about China's IC industry, including the history, current status, development, and related government policies. Information in these articles is all from public data from recent years. The purpose of these articles is to enhance mutual understanding between the Chinese domestic IC industry and international IC ecosystem. The following article is the third one of this series, the status quo of China's IC industry. The IC industry chain is very long including design, manufacturing, special equipment, materials, packaging and testing. The article series are arranged in accordance with this scope.

An Internet-enabled Integration of Concurrent Engineering with Co-design

In this paper,the Web-based integration methodology and framework have been developed to facilitate collabora- tive and concurrent engineering design in distributed manufacturing environments.The distributed concurrent engineering and co- design are discussed as key components in the mechanism.The related integration system is presented,which includes four function- al modules:co-design,Web-based visualization,manufacturing analysis and look-up service.It can be used for a design team geo- graphically distributed to organize a collaborative and concurrent engineering design effectively.In particular,the collaborative mechanism incorporated with Java-based and Internet-enabled technologies can generate extended strategies for design and planning. Thus,the proposed integration architecture enables the system to be generic,open and scalable.Finally,for the trend of global manufacturing,a case study of Internet-enabled collaborative optimization is introduced and a discussion on teamwork capability is made.

The Analysis of Logistics Strategic Type of Northeastern Equipment Manufacture Industry

Logistics strategy has very important function to the development of old industrial base of equipment manufacture industry in the northeast, logistics strategic type is an important component of logistics strategy. The understanding of it will contributes to enterprise make suitable logistics strategy according to one＇s own actual conditions, to plan long-term development, and then establish an unassailable position during keen competition nowadays.

数实融合培育和壮大制造业产业集群的理论逻辑与实施路径

数字经济与实体经济融合发展已经成为中国提升产业竞争力的重要手段,在培育和壮大产业集群发展中具有重要的推动作用。本文从农村电商这一数字经济与实体经济融合的典型形式入手,以电商大县山东曹县的服饰产业为例,探究数实融合在培育和壮大制造业产业集群中的理论逻辑和实施路径,为深化数实融合促进产业集群发展提供新思路。数实融合带来的销售模式创新促使销售实体的市场容量跃升,为产业集聚发展提供动力支撑;数实融合改善制造业产业集群内部的资源配置水平和创新能力,线上集聚极大突破产业集群区域的发展资源禀赋限制,进而提升产业集群的竞争力水平。推动电商高质量发展、加强数字基础设施建设、推进生产企业的数字化转型和引导产业线上集聚,是以数实融合推动制造业集群发展的重要路径。

物流业和制造业融合发展对全要素生产率的影响

基于2006—2020年的省际面板数据,使用耦合协调度模型测算我国物流业和制造业的融合发展水平。研究发现:我国各省份物流业和制造业融合发展度逐步上升,总体上处于低水平向高水平过渡的协调阶段。(1)省际之间物流业与制造业融合水平存在差异,其中浙江、江苏、山东和广东的融合发展水平最高,中部和西部省份融合发展水平提高较快,吉林、黑龙江和辽宁三省则有退步。(2)使用固定效应模型检验两业融合发展对全要素生产率的影响,发现两业融合发展度的提高能够促进区域全要素生产率的提升,该结论在利用IV-GMM和IV-LIML等模型估计下依旧显著。(3)两业融合发展度的提高一方面可以推动全要素生产率边界的扩大,另一方面有利于实际效率趋近最优效率。

产业融合与新质生产力共同赋能物流业降本增效

目前,物流业降本增效存在“社会物流成本等同于物流成本”“降低全社会物流成本就是降低物流企业的服务价格”“我国物流成本远远高于发达国家”三个认识误区和“中小微物流企业居多”“全球经济下行”两个现实瓶颈。产业融合、新质生产力与物流业降本增效之间的逻辑关系是:产业融合通过物流业与其他产业的高效互动,从供应链视角进行全链条的资源匹配和优化升级,为社会物流降本提供源动力。新质生产力通过技术革命性突破、生产要素的创新性配置以及产业深度转型升级,实现生产效率提升的质变,成为全社会物流成本降低的重要手段。在此基础上,考虑到产业融合和新质生产力对物流业降本增效的赋能是一个全方位多层次的过程,从战略设计-战术控制-操作执行三个层面,提出以产业融合和新质生产力共同赋能物流业降本增效的实施策略:在战略设计层面,要依托物流数智化技术,开展良好的物流服务设计、以供应链订单为驱动,开展供应链体系重构设计、基于供应链可视化技术,进行物流成本控制图设计。在战术控制层面,要运用新技术和新模式,减少商品流通环节,利用产业集群和服务共享机制,缩短物流运输距离、构建轴辐射物流网络,重塑集疏运物流体系、重构生态链伙伴关系,减少交易成本。在操作执行层面,要发挥物流标准化基础性引领性作用,减少流通堵点、推动供应链金融体系建设,赋能企业降本、加大直达运输比例,减少流通损耗。为保障产业融合和新质生产力共同赋能物流业降本增效策略的顺利实施,应发挥重点产业链建设示范效应,警惕物流降本带来的就业新问题,支持中小物流企业通过技术创新实现降本以及发挥平台赋能物流降本作用,为进一步推动我国物流业降本增效提供指导方向。

轨道交通装备制造业创新组织演进机理研究

本文以中国轨道交通装备制造业为案例,基于“组合赋能-创新组织演进-创新模式升级-创新能力提升-产业技术进步”分析框架,探究制造业创新组织演进及其影响。结果表明:①创新组织演进经历了创新系统、创新生态系统和创新联合体依次递进的3个阶段;②与创新组织演进同步,创新模式实现了从合作创新到协同创新再到融通创新的升级;③伴随着创新组织演进和创新模式升级,技术创新能力发展经历了技术吸收能力、技术改造能力、集成创新能力和数字化创新能力4个阶段,同时制造能力发展经历了从基础制造能力、国产化能力、整机制造能力到智能制造能力的逐级跃升;④产业依托创新系统完成了技术“跟跑”,依托创新生态系统实现了技术“并跑”,依托创新联合体则取得了技术“领跑”;⑤创新组织演进是“有为政府”和“有效市场”组合赋能的结果。轨道交通装备制造业创新组织演进机理研究既能丰富产学研融合创新理论体系,也为其他高端制造业突破关键核心技术国际封锁提供理论启示。

2023年我国现代物流发展回顾与展望

进入“十四五”时期,特别是新冠疫情三年以来,现代物流在国民经济中的产业地位持续提升,发展模式稳步转换,制度保障更加完善。本文系统回顾了2023年我国现代物流发展取得的丰硕成果,展望2024年及未来一段时期,我国现代物流有望呈现的一些新趋势。

基于协同育人理念的产业学院建设实践——以钢铁智能制造产业学院为例

产业学院作为深化产教融合、校企合作的重要载体,有效实现了人才培养与产业需求的对接。武汉工程职业技术学院钢铁智能制造产业学院立足钢铁制造产业转型升级发展,以冶金设备智能运维省级高水平专业群为载体,通过创新“五接五融五双”人才培养模式,共同实施“五段递进式”教学,打造“双师型”教师团队,共建生产性实训基地,共同开发活页式教材,培养“操检维调”高素质技能人才。

服务型制造能缓解企业的融资约束吗?——基于准自然实验的分析

服务型制造是基于“服务化”等概念而提出的一个具有中国特色的概念,是我国推进先进制造业和现代服务业深度融合的重要方向。以服务型制造示范遴选工作为准自然实验,采用PSM-DID方法研究了服务型制造对企业融资约束的缓解效果及其作用机制。结果发现:服务型制造能够缓解企业的融资约束,且该结论具有稳健性;服务型制造通过改善生产效率、提升企业绩效和强化企业创新渠道发挥作用,且效果受到地理区位、行业竞争以及企业所有权性质等异质性因素的影响。

长三角物流业与制造业融合发展水平及影响因素研究

文章基于熵值法和耦合协调度模型测算出2010—2021年长三角物流业与制造业融合发展水平,利用Kernel密度估计图来进行动态演进分析,并在此基础上研究融合发展的影响因素,进行实证分析后得到如下结论:研究期内长三角物流业与制造业融合发展水平呈现上升趋势,其中江苏的融合发展水平最高,安徽最低,但安徽的增加幅度是最大的,区域间的差距在逐渐减少。经济发展水平、政府管制、信息化水平与融合发展水平具有显著相关关系。并提出政策建议。

双循环发展格局下广东省制造业和物流业融合发展研究

广东省制造业、物流业均处于转型升级、结构调整的重要阶段。推动制造业和物流业两业融合发展是构建新时代“双循环”新发展格局的重要举措,促进广东省制造业、物流业高质量发展的基本途径。针对当前两业融合发展存在的主要问题,广东省须建立面向支柱性制造产业的专业化物流基地、大力推动制造企业物流业务社会化和不断提高物流企业综合服务能力来推动制造业与物流业双向融合发展,以此促进区域产业升级、转移集聚和产业协调高质量发展。

长三角一体化城市群数字经济对物流业高质量发展的影响研究

以长三角一体化城市群为研究样本,运用2011-2020年长三角一体化城市群的数据实证检验该区域数字经济对物流业高质量发展的影响,并在此基础上进一步探讨其作用机制。研究结果表明:(1)长三角一体化城市群数字经济的发展能够推动物流业高质量发展,在进行稳健性检验后,结论依然成立;(2)从作用机制研究可以发现,长三角一体化城市群数字经济的发展能够直接推动物流业高质量发展,并且可以通过物流业全要素生产率间接推动物流业高质量发展;(3)异质性结果显示,经济越发达地区其数字经济的发展对于物流业高质量发展的推动作用越明显。根据上述研究结论提出三点政策建议:一是大力发展长三角一体化城市群数字经济与物流业,加强产业与城市间的交流合作;二是通过提高物流业全要素生产率来推动物流业高质量发展;三是根据不同城市的不同经济情况因地制宜地发展数字经济。

南通市物流业、制造业的低碳融合发展

南通市物流业、制造业发展态势较好,且在一定程度上实现了低碳融合发展,但仍存在政府引导和政策约束不足、两业联动不足、物流业运作效率不高、碳中和专业人才缺乏等问题。政府、园区、行业企业和院校发挥各自作用并建立协调联动机制,有助于促进南通市物流业、制造业的低碳融合发展。

供给侧改革视域下校企深度融合运行机制探究——以长春职业技术学院为例

产业学院是产教融合的一种新兴组织形态,通过融通学校优势专业群与一流企业为代表的区域优势主导产业,解决企业转型升级的技术创新难题,满足企业高质量复合型人才需求。长春职业技术学院探索构建“一平台、六共同”校企协同育人生态体系,创新“职前—职后全程工学交替式”人才培养模式,有利于培养大批智能制造高端岗位技术技能创新型人才,为促进区域经济高质量发展提供强有力的人才支撑。