Agile Factor Flexible Industry 4.0 with MES Manufacturing Execution System Along with ERP Back-End Integration: Ready-Made Garments as a Case Study

Industry 4.0, or the Fourth Industrial Revolution, is based on digitized the manufacturing process and makes use of all digital tools so its combination of various digital technologies computers, ERP software, IoT, machine learning and AI techniques, Manufacturing Execution Systems (MES), and big data analytics to create a new, fully digitized manufacturing system. The Critical Success Factors (CSFs) of MES adoption are both a quantitative and qualitative measurement. We use the case of ready-made garments to improve each of the three Overall Equipment Efficiency (OEE) factors: Availability, Performance, and Quality. In this study, we adopt real-time management of production activities on the shop floor from order receipt to finished products, then measure the improvement.

Curriculum Reform Practices in “Cosmetic Product Formulation Design and Preparation Technology” Under the Perspective of Integration of Industry, Education, and Research

With the upgrading of industries,the cosmetics industry has posed new requirements for technical talents.As a professional core course in cosmetic technology,“Cosmetic Product Formulation Design and Preparation Technology”serves as the foundation for cultivating students’abilities in cosmetic development and preparation.To foster high-quality skilled talents capable of adapting to the rapid growth of color cosmetics and to better promote the deep integration of scientific and technological industries with curriculum teaching,the teacher team embarked on active explorations and practical teaching research for curriculum teaching reform from four dimensions:strengthening top-level design,enriching teaching content,optimizing teaching design,and reforming assessment methods.These efforts have enhanced students’comprehensive vocational qualities and innovative consciousness,contributing to the teaching reform in higher vocational colleges under the integration of industry,education,and research.

循环经济理念下的产业园4.0规划设计——以广州中创产业园为例

在国家推进碳中和的背景下,实现经济高质量发展尤为重要。循环经济具有降低能源消耗和碳排放的关键作用,是实现经济高质量发展的必由之路。以广州中创产业园为例,引入循环经济理念,对产业园区规划存在的问题进行分析,并进行系统性规划设计。同时,基于循环经济理念对产业园进行功能结构布局,进一步探讨物质循环系统、生态循环系统和智慧园区具体的规划策略。探索广州中创产业园4.0实现循环经济发展的路径与对策,为我国其他工业化地区建设面向循环经济的工业园区4.0提供参考。

面向物流4.0的高职物流工程综合实训室建设实践

实训室建设与管理是高等教育的重要内容,如何建设面向物流4.0的综合实训室是高职物流工程专业普遍关心的问题。介绍了物流4.0的概念,探讨其对从业能力的要求和对高职物流工程教育的挑战。分析了物流4.0对物流工程综合实训室和课程体系带来的变革要求。以浙江经济职业技术学院为例,详细介绍了物流工程综合实训室的建设过程,包括理念和目标、建设内容、建设成效和不足。可为我国高职院校物流工程教育中提供参考与借鉴。

工业4.0下的质量管理

全球工业正面临第四次工业革命,即工业4.0。它指的是系统的连接和集成,以收集和分析数据,并将组织机构的运营数字化。质量4.0是与第四次工业革命相关的概念,指工业4.0背景下质量工作的数字化。探讨了质量4.0如何成为质量工作演进的一部分,重点是了解组织应如何过渡到质量4.0。提出了质量4.0的定义,并提出了过渡到质量4.0的总体过程,包括6个连续阶段,适用于计划过渡到质量4.0的不同组织机构。

Optimal Deep Learning Model Enabled Secure UAV Classification for Industry 4.0

Emerging technologies such as edge computing,Internet of Things(IoT),5G networks,big data,Artificial Intelligence(AI),and Unmanned Aerial Vehicles(UAVs)empower,Industry 4.0,with a progressive production methodology that shows attention to the interaction between machine and human beings.In the literature,various authors have focused on resolving security problems in UAV communication to provide safety for vital applications.The current research article presents a Circle Search Optimization with Deep Learning Enabled Secure UAV Classification(CSODL-SUAVC)model for Industry 4.0 environment.The suggested CSODL-SUAVC methodology is aimed at accomplishing two core objectives such as secure communication via image steganography and image classification.Primarily,the proposed CSODL-SUAVC method involves the following methods such as Multi-Level Discrete Wavelet Transformation(ML-DWT),CSO-related Optimal Pixel Selection(CSO-OPS),and signcryption-based encryption.The proposed model deploys the CSO-OPS technique to select the optimal pixel points in cover images.The secret images,encrypted by signcryption technique,are embedded into cover images.Besides,the image classification process includes three components namely,Super-Resolution using Convolution Neural Network(SRCNN),Adam optimizer,and softmax classifier.The integration of the CSO-OPS algorithm and Adam optimizer helps in achieving the maximum performance upon UAV communication.The proposed CSODLSUAVC model was experimentally validated using benchmark datasets and the outcomes were evaluated under distinct aspects.The simulation outcomes established the supreme better performance of the CSODL-SUAVC model over recent approaches.

An Integrated Analysis on the Synergistic Reduction of Carbon and Pollution Emissions from China’s Iron and Steel Industry

Decarbonization and decontamination of the iron and steel industry(ISI),which contributes up to 15%to anthropogenic CO_(2) emissions(or carbon emissions)and significant proportions of air and water pollutant emissions in China,are challenged by the huge demand for steel.Carbon and pollutants often share common emission sources,indicating that emission reduction could be achieved synergistically.Here,we explored the inherent potential of measures to adjust feedstock composition and technological structure and to control the size of the ISI to achieve carbon emission reduction(CER)and pollution emission reduction(PER).We investigated five typical pollutants in this study,namely,petroleum hydrocarbon pollutants and chemical oxygen demand in wastewater,particulate matter,SO_(2),and NO_(x) in off gases,and examined synergies between CER and PER by employing cross elasticity for the period between 2022 and 2035.The results suggest that a reduction of 8.7%-11.7%in carbon emissions and 20%-31%in pollution emissions(except for particulate matter emissions)could be achieved by 2025 under a high steel scrap ratio(SSR)scenario.Here,the SSR and electric arc furnace(EAF)ratio serve critical roles in enhancing synergies between CER and PER(which vary with the type of pollutant).However,subject to a limited volume of steel scrap,a focused increase in the EAF ratio with neglection of the available supply of steel scrap to EAF facilities would lead to an increase carbon and pollution emissions.Although CER can be achieved through SSR and EAF ratio optimization,only when the crude steel production growth rate remains below 2.2%can these optimization measures maintain the emissions in 2030 at a similar level to that in 2021.Therefore,the synergistic effects between PER and CER should be considered when formulating a development route for the ISI in the future.

ChainApparel: A Trustworthy Blockchain and IoT-Based Traceability Framework for Apparel Industry 4.0

Trustworthiness and product traceability are essential factors in the apparel industry 4.0 for establishing successful business relationships among stakeholders such as customers,manufacturers,suppliers,and consumers.Each stakeholder has implemented different technology-based systems to record and track product transactions.However,these systems work in silos,and there is no intra-system communication,leading to a lack of complete supply chain traceability for all apparel stakeholders.Moreover,apparel stakeholders are reluctant to share their business information with business competitors;thus,they involve third-party auditors to ensure the quality of the final product.Furthermore,the apparel manufacturing industry faces challenges with counterfeit products,making it difficult for consumers to determine the authenticity of the products.Therefore,in this paper,a trustworthy apparel product traceability framework called ChainApparel is developed using the Internet of Things(IoT)and blockchain to address these challenges of authenticity and traceability of apparel products.Specifically,multiple smart contracts are designed and developed for registration,process execution,audit,fault,and product traceability to authorize,validate,and trace every business transaction among the apparel stakeholders.Further,the real-time performance analysis of ChainApparel is carried out regarding transaction throughput and latency by deploying the compute nodes at different geographical locations using Hyperledger Fabric.The results conclude that ChainApparel accomplished significant performance under diverse workloads while ensuring complete traceability along the complex supply chain of the apparel industry.Thus,the ChainApparel framework helps make the apparel product more trustworthy and transparent in the market while safeguarding trust among the industry stakeholders.

Real Time Automation and Ratio Control Using PLC&SCADA in Industry 4.0

Industrial Control Systems(ICS)and SCADA(Supervisory Control and Data Acquisition)systems play a critical role in the management and regulation of critical infrastructure.SCADA systems brings us closer to the real-time application world.All process and equipment control capability is typically provided by a Distributed Control System(DCS)in industries such as power stations,agricultural systems,chemical and water treatment plants.Instead of control through DCS,this paper proposes a SCADA and PLC(Programmable Logic Controller)system to control the ratio control division and the assembly line division inside the chemical plant.A specific design and implementation method for development of SCADA/PLC based real time ratio control and automated assembly line system in a chemical plant is introduced.The assembly line division is further divided into sorting stage,filling stage and the auxiliary stage,which includes the capping unit,labelling unit and then the storage.In the ratio control division,we have defined the levels inside the mixer and ratio of the raw materials through human machine interface(HMI)panel.The ratio of raw materials is kept constant on the basis of flow rates of wild stream and manipulated stream.There is a flexibility in defining new levels and the ratios of the raw materials inside the mixer.But here we taken the predefined levels(low,medium,high)and ratios(3:4,2:1,2:5).Control valves are used for regulating the flow of the compositions.In the assembly line division,the containers are sorted on the basis of size and type of material used i.e.,big sized metallic containers and small sized non-metallic containers by inductive and capacitive proximity sensors.All the processes are facilitated with laser beam type or reflective type sensors on the conveyor system.Building a highly stable and dependable PLC/SCADA system instead of Distributed Control System is required to achieve automatic management and control of chemical industry processes to reduce waste manpower and physical resources,as well as to improve worker safety.

澳大利亚工业4.0高等学徒制:背景、实施与启示

2015年12月澳大利亚联邦政府宣布实施工业4.0高等学徒制项目,旨在应对工业4.0发展、高技能人才短缺以及学徒制改革的挑战。该项目通过提升学徒的技能水平,授予学徒高层次的应用技术文凭和副学士学位证书,拓宽学徒的就业途径和升学途径,进而提升学徒制的吸引力。借鉴澳大利亚经验,针对职业教育现场工程师专项培养计划,我国可采取以下措施:面向智能制造,加大现场工程师培养力度;突出企业主体,深化校企联合培养模式改革;强调能力本位,推进理实结合的课程教学;提升办学层次,增强中国特色学徒制吸引力。

A Historical Approach on the Opportunity to Acquire Technology Development Capability in Turkish Automobile Industry

Turkey has given importance to the development of the automobile industry since the Ottoman period.While the Ottomans,who were aware of the development process of the automobile industry in the world,provided transportation by horse-drawn carriage,they thought of importing automobiles for the Sultan and high-level bureaucrats in an effort to switch to automobile transportation.However,after the proclamation of the Republic,automobile production started,just like airplanes.While a factory was established for the production of a domestic aircraft,the first automobile production facility was established in Istanbul in 1929 by the American Ford company.This factory was closed after a short time due to the world economic crisis.After the activities of the Kayseri Aircraft Factory,which lasted until 1948,came to an end,this time,Revolution car prototypes could be manufactured completely domestically in 1961.After the project,which did not go into mass production,the KoçGroup started to produce the domestically-made Anadol car with technology transfer from multiple sources in 1967,but the production of Anadol continued until 1984.In 1971,Renault cars started to be produced under the French Renault license,and TOFAŞcars under the Italian FIAT license.Towards the end of the 1970s,creative imitation applications were made in TOFAŞcars with the bird series.In the 1990s,the production of Japanese Honda and Toyota and South Korean Hyundai cars started.In 2011,the idea of producing a domestic automobile emerged,the Devrim automobile was taken as an example in this project,the first Togg prototype was manufactured with technology transfer from multiple sources in December 2018,and it was announced that mass production would begin in March 2023.The 12-year period from 2011 to 2023 is too long for the creation of a domestic automobile.It has been understood that this long process has been passed in order to regain the pre-1980 level of technological ability.However,the most important thing is the transition from the creative imitation stage to the innovation stage.Our wish is that this process can be shortened with phase skipping approaches.

Industry 4.0 technology implementation in SMEs—A survey in the Danish-German border region

Industry 4.0,known as the fourth technological transformation towards digital-physical systems in manufacturing,creates a disruptive impact on industries.Manufacturing companies,especially small and medium-sized ones,are facing various challenges and must constantly innovate to remain competitive.One way to innovate is by implementing new technologies into company processes.In this study,we investigate how technology,company and industry related factors are associated with the implementation of Industry 4.0 in SMEs.We collect data via a survey with a focus on Industry 4.0 in SMEs.The results indicate that knowledge and expected benefits of technology are the drivers for the implementation of Industry 4.0 technologies.They also show that companies with high levels of process automation and high product variety are more likely to implement Industry 4.0 technologies.Our study creates a better understanding of the status,challenges and plans within Industry 4.0 implementation in SMEs,which will support the development of SME-friendly manufacturing tools and systems and craft managers’and policymakers’understanding of Industry 4.0 technologies.

Investigation into the Methodology and Implementation of Life Cycle Engineering under China’s Carbon Reduction Target in the Process Industry

The industrial sector is the primary source of carbon emissions in China.In pursuit of meeting its carbon reduction targets,China aims to promote resource consumption sustainability,reduce energy consumption,and achieve carbon neutrality within its processing industries.An effective strategy to promote energy savings and carbon reduction throughout the life cycle of materials is by applying life cycle engineering technology.This strategy aims to attain an optimal solution for material performance,resource consumption,and environmental impact.In this study,five types of technologies were considered:raw material replacement,process reengineering,fuel replacement,energy recycling and reutilization,and material recycling and reutilization.The meaning,methodology,and development status of life cycle engineering technology abroad and domestically are discussed in detail.A multidimensional analysis of ecological design was conducted from the perspectives of resource and energy consumption,carbon emissions,product performance,and recycling of secondary resources in a manufacturing process.This coupled with an integrated method to analyze carbon emissions in the entire life cycle of a material process industry was applied to the nonferrous industry,as an example.The results provide effective ideas and solutions for achieving low or zero carbon emission production in the Chinese industry as recycled aluminum and primary aluminum based on advanced technologies had reduced resource consumption and emissions as compared to primary aluminum production.

Prospects for green steelmaking technology with low carbon emissions in China

The steel industry is a major source of CO_(2) emissions,and thus,the mitigation of carbon emissions is the most pressing challenge in this sector.In this paper,international environmental governance in the steel industry is reviewed,and the current state of development of low-carbon technologies is discussed.Additionally,low-carbon pathways for the steel industry at the current time are proposed,emphasizing prevention and treatment strategies.Furthermore,the prospects of low-carbon technologies are explored from the perspective of transitioning the energy structure to a“carbon-electricity-hydrogen”relationship.Overall,steel enterprises should adopt hydrogen-rich metallurgical technologies that are compatible with current needs and process flows in the short term,based on the carbon substitution with hydrogen(prevention)and the CCU(CO_(2) capture and utilization)concepts(treatment).Additionally,the capture and utilization of CO_(2) for steelmaking,which can assist in achieving short-term emission reduction targets but is not a long-term solution,is discussed.In conclusion,in the long term,the carbon metallurgical process should be gradually supplanted by a hydrogen-electric synergistic approach,thus transforming the energy structure of existing steelmaking processes and attaining near-zero carbon emission steelmaking technology.

工业4.0背景下参数化设计在工业经济发展中的应用

随着信息技术和智能化制造的迅猛发展,工业4.0的浪潮已经席卷而至,为传统工业模式带来翻天覆地的变革。在这个数字化、网络化、智能化的时代,参数化设计作为一种创新的设计方法,正逐渐崭露头角。它以灵活性、定制性和高效性为特点,与工业4.0的理念高度契合。将深入研究工业4.0背景下参数化设计在工业经济中的应用,探讨其对提升生产效率、促进产品创新和实现资源可持续利用的潜在影响。通过对参数化设计在工业经济中的作用进行系统地分析,旨在为制造业在迎接工业4.0时代带来的机遇和挑战中寻找科学、可行的发展路径。

工业4.0时代高校图书馆管理与服务面临的机遇与挑战

高校图书馆是大学生构建和更新知识的基地,是构建公共文化服务体系的重要组成部分,探讨工业4.0时代高校图书馆管理与服务面临的机遇与挑战,不仅是响应“中国制造2025”的号召,也是推动图书馆高质量发展的需要。文章回顾前3次工业革命图书馆管理与服务的历史变迁,分析工业革命对高校图书馆产生的影响,探讨工业4.0时代给高校图书馆管理带来的机遇以及面临的冲击,高校图书馆如何更好地开展管理和服务工作,如何解决资金与技术问题,图书馆内部管理如何顺应工业4.0时代的发展要求,如何对现有图书馆馆员的新技术与理念等进行有效提升,以适应数字化转型的需要提出相应的设想,为提高管理效能和提升服务水平,推动高校图书馆高质量发展提供借鉴。

工业4.0赋能职业教育高质量发展:内涵、愿景与路径

随着工业4.0的发展,以技术、产业、时代赋能职业院校建设正在成为职业教育高质量发展的重要途径。文章在对工业4.0和职业教育高质量发展的内涵进行阐述的基础上,提出复合素质培育的高质量人才结构、终身理念植入的高质量职业培训、工业时代牵引的高质量课程建设、智能技术聚力的高质量环境创新和多元主体共育的高质量校企合作等美好愿景,并在“引领式嵌入”和“嵌入式自主”两种赋能机制下,提出质量根本、产业驱动、融合目标、国际视野下推动职业教育高质量发展的路径。

工业4.0技术赋能航运和船舶建造研究

现有文献通常对智能航运或者船舶智能制造分别进行研究。结合文献综述和案例研究,从船舶建造企业视角提出了数字航运和船舶建造框架,对框架的主要组成:工业4.0使能技术、自主航行船舶和船舶设计建造数字孪生、工业5.0目标等进行了分析和展望。研究提出的框架填补了将智能航运和船舶建造相结合的研究空白,有效地促进中国造船企业在推进工业4.0等数字化技术应用时拓展视角,促进产品研发的纵向集成和产业链上下游的横向集成。另外框架每个组成部分,也是航运和船舶设计制造行业数字化转型过程中要克服的难点和研究的重点。

Guarantee Strategy for the Safety of Agricultural Industry in Hunan Province

The safety of agricultural industry in Hunan Province shows an upward trend from"basically safe"to"very safe",but the state in the"safe"or"very safe"range is still unstable.In view of this,Hunan Province should guarantee the agricultural production ability,cultivate and enhance the core competitiveness of agriculture,firmly grasp the agricultural control power,attach importance to the export quality of agri-cultural products and other aspects to ensure the safety of agricultural industry.

基于天翼云4.0的行业数字化生态赋能平台SaaS化上云设计与实践

SaaS为软件交付提供基于订阅的模型,使企业能够通过互联网访问应用程序和服务,该模式消除昂贵的现场基础设施、频繁更新和软件维护的麻烦。该文是基于天翼云4.0架构的实践,对中国电信SaaS上云技术框架,以某省行业数字化生态赋能平台作为案例,阐述业务平台SaaS化部署过程和应用的实践,为云SaaS化实际部署提供优化和参考。