Development Status of Cloud Manufacturing in China

2014 ◽  
Author(s):  
Lin Zhang ◽  
Jingeng Mai ◽  
Fei Tao ◽  
Yongliang Luo ◽  
Lei Ren
Keyword(s):  
Manufacturing Industry ◽  
Integrated Management ◽  
Cloud Manufacturing ◽  
Enterprise Management ◽  
Service Platform ◽  
Development Status ◽  
Flexible Material ◽  
Aerospace Technology ◽  
The One ◽  
Group Enterprise

Facing technological innovation and structural transformation challenges in depth development of China’s manufacturing industry, the concept of cloud manufacturing (CMfg) was proposed and got government’s support. This paper reviews the development status of CMfg in China. On the one hand, a number of research institutions studied systematically on theories and key technologies of CMfg, such as application patterns and platform architectures, resource matching, service composition and sharing, manufacturing cloud integrated management, etc. And on the other hand, some cloud manufacturing service platforms were build and applied in small and medium-sized enterprises and group enterprises, such as group enterprise CMfg service platform for the complicated aerospace products, CMfg service platform of aerospace technology group, group enterprise CMfg service platform for manufacturing and management, cloud application in growing enterprise management informatization, CMfg service platform for mould and flexible material industry, CMfg service platform for new product R&D of car parts, CMfg service platform for steel industry chain collaboration, CMfg service platform for mould industry in Ningbo, etc.

Theory, supporting technology and application analysis of cloud manufacturing: a systematic and comprehensive literature review

2020 ◽  
Vol 120 (8) ◽  
pp. 1585-1614
Author(s):  
Ming K. Lim ◽  
Weiqing Xiong ◽  
Zhimei Lei
Keyword(s):  
Literature Review ◽  
Manufacturing Industry ◽  
Cloud Manufacturing ◽  
Feature Identification ◽  
Relevant Research ◽  
Research Directions ◽  
Content Type ◽  
Development Status ◽  
Comprehensive Literature Review ◽  
Key Characteristics

PurposeCloud manufacturing (CMfg) is a networked manufacturing mode that promotes the agile, service-oriented, green and intelligent development of the manufacturing industry. Although some scholars have reviewed related studies of CMfg from multiple perspectives, these reviews are not fully systematic or well justified and fail to fully reveal the key characteristics in the development process of CMfg. The purpose of this paper is to systematically review the relevant research on CMfg via identification of key characteristics of definition, architecture, supporting technology and application of CMfg to provide critical information in decision support for the innovation and development of CMfg.Design/methodology/approachThis study systematically reviews the relevant research on CMfg across theoretical methods to technical applications by integrating quantitative and qualitative methods. Word cloud method is used to quantitatively analyse the structure and feature of different definitions of CMfg. The principle of System Science is used to explore the basic components and functions of various CMfg architectures and their common and differing characteristics. A multi-level technology framework is developed to explore the development status of CMfg supporting technologies. A multi-stage application classification is proposed to reveal the application status of CMfg.FindingsThrough literature review, this study found that CMfg architecture is currently dominated by general architectures and lacks architectures that fit the actual enterprise characteristics; CMfg supporting technology is mature in the traditional cloud computing-based technology, but it is still weak in the development of virtualization and servitization technology, service scheduling technology; CMfg application is still in the initial stage and still lacks a relatively complete system application. By analysing the development status of CMfg, this study also identified potential research directions of CMfg in information management, service composition and evaluation, system application and sustainable development and other aspects.Research limitations/implicationsThis paper predominantly focuses on journal articles and some key conference papers published in English and Chinese. Chinese articles account for more than half of the total. The reason is that CMfg was proposed by the Chinese and CMfg is suitable for the development of China's manufacturing industry because of China's intelligent manufacturing environment. It is believed that this research has reached a reliable comprehensiveness that can help scholars and practitioners establish new research directions and evaluate their work in CMfg.Originality/valuePrior literature reviews ignore the identification and analysis of key feature identification for the current development of CMfg, including common and unique feature identification of different CMfg architectures and functions, multi-layer analysis and interpretation of CMfg technology and different stage analysis of CMfg applications. This study addresses these limitations and provides a comprehensive literature review.

New approaches to improving enterprise management systems using international models and standards in a digital transformation environment

2020 ◽  
pp. 24-29
Author(s):  
V.V. Silaeva ◽  
◽  
V.P. Semenov ◽  
Keyword(s):  
Management System ◽  
Integrated Management ◽  
Digital Transformation ◽  
International Standards ◽  
System Model ◽  
Management Systems ◽  
Enterprise Management ◽  
Integrated Management System ◽  
New Approaches ◽  
Iso 31000

The relevance of creating integrated management systems for enterprises in a digital transformation environment is proved. New approaches to improving the management system in accordance with the new European excellence model (EFQM 2020) and international standards for achieving sustainable success and risk management are described. Approach to the development of integrated management system model based on the new EFQM 2020 model and international standards such as ISO 9004:2018 and ISO 31000:2018 is offered.

Survey of One-handed Lifting in Manufacturing Industry: A Cross-sectional Study of the BackWorks Study Cohort

2020 ◽  
Vol 64 (1) ◽  
pp. 942-946
Author(s):  
Ruoliang Tang ◽  
Jay M. Kapellusch ◽  
Andrew S. Merryweather ◽  
Matthew S. Thiese ◽  
Kurt T. Hegmann ◽  
...  
Keyword(s):  
Manufacturing Industry ◽  
Cross Sectional Study ◽  
Study Cohort ◽  
The European Union ◽  
Sectional Study ◽  
Cross Sectional ◽  
Materials Handling ◽  
Manual Materials Handling ◽  
Lost Productivity ◽  
The One

Low back pain (LBP) is a common health problem and a major cause of lost productivity in workplaces. Manual materials handling (MMH) jobs have traditionally been regarded as risk factor for LBP. Compared to two-handed lifting, one-handed lifting has received little attention in both epidemiological and biomechanical research. In addition, one frequent complaint of the revised NIOSH lifting equation (RNLE) has been the lack of capability to directly evaluate one-handed lifting. Modifications have been proposed by the European Union, however their efficacy and influence have not yet been evaluated. This cross-sectional study provided objective survey of the MMH jobs, especially the one-handed lifting performed in manufacturing industry and investigated the outcomes of three proposed methods to address one-handed lifting using RNLE approach. Preliminary results suggest that workers with some one-handed lifting are associated with higher physical exposure. However, the increase was more significant among those who perform primarily one-handed lifting.

Research on Mass Manufacturing Resource Sensory Data Management Based on Hadoop

2016 ◽  
Vol 693 ◽  
pp. 1880-1885 ◽  
Author(s):  
Kai Kai Su ◽  
Wen Sheng Xu ◽  
Jian Yong Li
Keyword(s):  
Distributed Storage ◽  
Cloud Manufacturing ◽  
Distributed File System ◽  
Service Platform ◽  
Sensory Data ◽  
Computing Model ◽  
Hadoop Distributed File System ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Management Method

Aiming at the management issue of mass sensory data from the manufacturing resources in cloud manufacturing, a management method for mass sensory data based on Hadoop is proposed. Firstly, characteristics of sensory data in cloud manufacturing are analyzed, meanings and advantages of Internet of Things and cloud computing are elaborated. Then the structure of the cloud manufacturing service platform is proposed based on Hadoop, the information model of manufacturing resources in cloud manufacturing is defined, and the data cloud in the cloud manufacturing service platform is designed. The distributed storage of mass sensory data is implemented and a universal distributed computing model of mass sensory data is established based on the characteristics of Hadoop Distributed File System (HDFS).

Dynamic Manufacturing Capability Assessment of Industrial Robots Based on Feedback Information in Cloud Manufacturing

2017 ◽  
Author(s):  
Zeyu Zhang ◽  
Wenjun Xu ◽  
Quan Liu ◽  
Zude Zhou ◽  
Duc Truong Pham
Keyword(s):  
Manufacturing Industry ◽  
Dynamic Assessment ◽  
Cloud Manufacturing ◽  
Industrial Robots ◽  
Assessment Model ◽  
Advanced Technology ◽  
Distribution Model ◽  
Information Feedback ◽  
Optimal Solutions ◽  
Manufacturing Capability

With the development of information and computer network technology, cloud manufacturing has been developing rapidly, industrial robots (IRs) as a vital symbol and an advanced technology of manufacturing industry, in scheduling service, the constantly changing information data will result in the corresponding vary of the manufacturing capability. Under a fixed constraint of some capability service request, this will decrease the number of the optimal solutions and provide the inaccurate service to users. So it is important to make the manufacturing capability stable and obtain more optimal solutions to satisfy the constraint, thus the dynamic assessment of manufacturing capability based on information feedback is investigated in this paper. A set of indicators is established considering the IRs’ manufacturing capability and a new dynamic assessment model is proposed to achieve the actual data and the expected data information feedback, using the “normal distribution” model, which can correct the assessment weight. By the way, a case study is simulated in the MATLAB, which shows the reliability and reasonability of this method in evaluate the manufacturing capability in IR.

scholarly journals Development Status and Prospects of Microbial Manufacturing Industry in China

2021 ◽  
Vol 23 (5) ◽  
pp. 59
Author(s):  
Xinyu Bi ◽  
Xueqin Lyu ◽  
Long Liu ◽  
Jian Chen
Keyword(s):  
Manufacturing Industry ◽  
Development Status

Cloud-Based Intelligent User Interface for Cloud Manufacturing: Model, Technology, and Application

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Lei Ren ◽  
Jin Cui ◽  
Ni Li ◽  
Qiong Wu ◽  
Cuixia Ma ◽  
...  
Keyword(s):  
User Interface ◽  
Manufacturing Industry ◽  
Multimodal Interaction ◽  
Cloud Manufacturing ◽  
Domain Specific ◽  
Intelligent User Interface ◽  
Usability Problems ◽  
Key Characteristics ◽  
Industry Practice ◽  
Service Oriented

Cloud manufacturing is gradually transforming the way enterprises do business from traditional production-oriented manufacturing to service-oriented manufacturing. The development of cloud manufacturing in industry practice is closely related to domain-specific user experience. The huge amount of users with diverse roles and various requirements in manufacturing industry are facing great challenges of cloud system usability problems. Thus, user interface issues play a significant role in pushing this new area forward. In this paper, we discuss the key characteristics of intelligent user interface (IUI) for cloud manufacturing, i.e., naturality, smart mobility, self-configuration, and flexible customization. Further, a cloud-plus-IUI model for cloud end-users is presented. Then we discuss the enabling technologies, i.e., automatic configuration based on virtualization, context-aware adaption and recommendation, and multimodal interaction. Finally, we present SketchPart, a sketch-based pad system prototype for searching part drawings in the cloud, to show the advantages of the proposed cloud-plus-IUI solution.

Enhancing the Security of Cloud Manufacturing by Restricting Resource Access

2014 ◽  
Vol 11 (4) ◽  
Author(s):  
Xiaoyun Liu ◽  
Wu He ◽  
Li Xu ◽  
Gongjun Yan
Keyword(s):  
Conflict Of Interest ◽  
Manufacturing Industry ◽  
Geographic Location ◽  
Cloud Manufacturing ◽  
Research Topic ◽  
Access Time ◽  
Secret Key ◽  
Is Security ◽  
The Right ◽  
Resource Security

AbstractCloud manufacturing has recently become a hot research topic in the manufacturing industry. One of the key bottlenecks that hinders the development and application of cloud manufacturing is security. As the adoption and use of manufacturing cloud depends on its security mechanism to a large extent, we propose a new resource security method to enhance the security of cloud manufacturing services by providing resources exclusive access to cloud virtual machine and restricting cloud access from unauthorized users. To enable authorized users in the right location, right time and right network to access resources, a GeoAuthentication model that maps geographic location, access time, and subnetwork information into a secret key is proposed. We also propose conflict firewall in manufacturing cloud to separate users with conflict of interest.

The Turbocharger Products and Manufacturing Research

2014 ◽  
Vol 651-653 ◽  
pp. 932-935
Author(s):  
Su Ying Xu
Keyword(s):  
Internal Combustion Engine ◽  
Manufacturing Industry ◽  
Combustion Engine ◽  
Enterprise Management ◽  
Production Scale ◽  
Industry Chain ◽  
Industrial Chain ◽  
Mode Of Operation ◽  
Chain Complete ◽  
Production Organization

the exhaust turbine supercharger in the process of manufacturing is made up of many enterprises to participate in the production and management. Production organization form of the differences is determined by the scale of production and mode of operation. Parts of casting blank and parts processing has formed a complete industrial chain. Complete parts processing and manufacturing industry chain has failed to form the advantage of the products. Many companies, management can not meet the user's demand. Also can't satisfy the hosts, scale and qualification requirements of production enterprises. Enterprise management has been formed a consortium. Enterprise production scale and qualification of such as to meet the requirement of enterprises for internal combustion engine accessories. The manufacture of parts and exhaust turbocharger parts processing and assembly in production process can be controlled. Is helpful to the enterprise's development and improvement of product quality.

Development Status and Countermeasures of Innovation and Entrepreneurship Service Platform in China's Universities

2021 ◽  
Vol 7 (6) ◽  
pp. 6180-6189
Author(s):  
Wang Yong ◽  
Zhang Yaohui
Keyword(s):  
College Students ◽  
Government Policy ◽  
Scientific Research ◽  
Business Environment ◽  
Colleges And Universities ◽  
Service Platform ◽  
Development Status ◽  
Support For Innovation ◽  
The Government ◽  
Innovation And Entrepreneurship

Innovation and entrepreneurship service platforms in colleges and universities bear the dual responsibility of education on and support for innovation and entrepreneurship. However, at present, they are confronted with such problems as insufficient government policy publicity, insignificant transformation effect of scientific research achievements, fragile business environment, and weak financing function. To continue to advance the construction of innovation and entrepreneurship service platform for college students, it is necessary to improve the government environment of those platforms within colleges and universities, build the service platform based on the transformation of teachers’ scientific research achievements, enhance the business environment for college students’ innovation and entrepreneurship, and promote the financing capacity of colleges’ incubators.

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