scholarly journals Research on semantic similarity between cloud manufacturing resource and demand service ontology

Author(s):  
ZHANG Wei ◽  
WANG Ping ◽  
WANG Nianxin
2016 ◽  
Vol 693 ◽  
pp. 1880-1885 ◽  
Author(s):  
Kai Kai Su ◽  
Wen Sheng Xu ◽  
Jian Yong Li

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).


2014 ◽  
Vol 644-650 ◽  
pp. 3241-3244
Author(s):  
Ge Li Feng

This paper focuses on the application of cloud manufacturing technology in the development of digital intelligent production control platform. Combined with the characteristics of NC machine shop, using the cloud manufacturing technology, the intelligent scheduling of production plan based on the theory of constraints, and multi-objective scheduling optimization technology, developed the target task balance optimization, manufacturing resource planning, equipment load balance module etc., achieved tracking and monitoring of the status of schedule, completion, production etc., ensure the statistics and analysis of production data correct and complete, and provide the basis for evaluation of production condition.


Author(s):  
Yujiang Li ◽  
Qiuling Huang ◽  
Mikael Hedlind ◽  
Gunilla Sivard ◽  
Magnus Lundgren ◽  
...  

Information management for manufacturing resources such as cutting tools is an important research topic in the context of cloud manufacturing. Vendors and customers usually use catalogues to communicate information for such manufacturing resource. Incompatibilities of information in syntax, semantics, and structure among supply chains often result in inefficient manual sharing and management of the catalogue information. It is difficult for cloud based applications to pool information from various sources. This communication failure calls for a system neutral solution for data modeling and exchange to enhance interoperability of the cutting tool catalogue information. Previous studies has present solutions for representation of the cutting tool information with STEP AP242 (ISO/DIS 10303-242) with semantic classification referring to a PLib (ISO 13584, Part Library) based dictionary. This approach can be extended for the catalogue modeling, due to functionalities for specification and configuration control of general product variants in the same standard. With a modeling approach with standardized information schemas, system architecture to guide implementation is proposed to enhance the communication in practice. Relative elements to represent vendors’ catalogues and customers’ requirements are modeled. Associations to the PLib-based dictionary complete semantics and enable information mapping between vendors and customers. Principles of the mapping are identified to facilitate implementation of related software systems. Prototypes are developed to verify the proposed system architecture. The proposed solution is promising to migrate to other types of products than cutting tools, because the data models are based on the general product models defined in AP242.


2017 ◽  
Vol 13 (4) ◽  
pp. 56-71 ◽  
Author(s):  
Xiaochun Sheng ◽  
Kefeng Wang

The paper studies the cloud manufacturing service platform and mode in the coordination and optimization of large equipment complete service (LECS). A set of theory based system of coordination and optimization is systematically established to support and implement LECS' cloud manufacturing mode. The research results show that the collaborative logic framework proposed is of macro guidance significance; the composite synergy mechanism system designed realizes all-round cooperative target; the collaborative optimization model and algorithm established have validity and practicality through instance verification. It systematically realizes the collaborative management of resource choice and optimizing configuration, the plan and control in the process of service, and so on. It can ensure the stability of manufacturing resource service seamless, green, environmental protection, and high quality. It achieves optimization of the overall system coordination. The study also provides a theoretical basis and scientific method for large equipment enterprise from manufacturer to a service integrator transformation.


2016 ◽  
Vol 32 (4) ◽  
pp. 414-436 ◽  
Author(s):  
Minghai Yuan ◽  
Kun Deng ◽  
W. A. Chaovalitwongse

Author(s):  
Xi Vincent Wang ◽  
Xun W. Xu

In recent years, Cloud Manufacturing concept has been proposed by taking advantage of Cloud Computing to improve the performance of manufacturing industry. Cloud Manufacturing attempts can be summarized as two sectors, i.e. manufacturing version of Computing Cloud, and a distributed environment that is networked around Manufacturing Cloud. In this paper, manufacturing resource, ability and relevant essentials are discussed in the service-oriented perspective. The functional requirements of a Cloud Manufacturing environment are discussed, along with an interoperable manufacturing system framework. Cloud resource integration models are developed that are compliant with existing international standards. It is possible to achieve a collaborative, intelligent, and distributed environment via Cloud Manufacturing technologies.


2013 ◽  
Vol 694-697 ◽  
pp. 2404-2407 ◽  
Author(s):  
Ke Zhou ◽  
Xiao Dong Li

To save manufacturing resources in cloud manufacturing environment, a manufacturing resource deployment evaluation system in construction machinery was designed and applied. At first evaluation indexes of manufacturing resource deployment were analyzed. Then the architecture and function structure were designed, and the database were analyzed. And some technologies adopted in the system were introduced to ensure security, stability, and interoperability of the information. Feasibility and effectiveness of the system were verified by a enterprise application case.


Sign in / Sign up

Export Citation Format

Share Document