Research on the Knowledge-Based Multi-Dimensional Information Model of Manufacturing Capability in CMfg

2012 ◽  
Vol 472-475 ◽  
pp. 2592-2595 ◽  
Author(s):  
Yong Liang Luo ◽  
Lin Zhang ◽  
Kui Ping Zhang ◽  
Fei Tao

Cloud manufacturing (CMfg) is a new service-oriented, highly efficient, lowly consumption knowledge based, and intelligent networked manufacturing model. It aims to achieve on-demand use, dynamic collaborative work, and circulation of manufacturing resources and manufacturing capability(MC). In order to achieve the above goal proposed, how to realize the formal description of MC is the key point in CMfg. This paper emphasizes the multi-dimensional information model of MC based on knowledge. According to the requirement and characteristics of manufacturing, the concept and connotation of MC were presented firstly in this paper, then the multi-dimension information model for MC was proposed based on knowledge, it contains three dimensions, such as elements dimension, relationship dimension, evaluation dimension.

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Tolulope J. Ashaolu ◽  
Abayomi Ajayi-Majebi ◽  
Sarhan M. Musa

Cloud manufacturing is a service-oriented, knowledge-based smart manufacturing system. It is integrated with cloud computing technology, Internet of Things, and high-performance computing. Through cloud manufacturing, manufacturing resources (such as manufacturing software tools, manufacturing equipment, and manufacturing capabilities) are “virtualized” and offered as consumable in the same way as electricity, gas, and water. The manufacturing resources are provided to users as services over the Internet (cloud) in a pay-as-you-go manner. This paper presents a brief introduction to cloud manufacturing.


Author(s):  
Chun Zhao ◽  
Lin Zhang ◽  
Xuesong Zhang ◽  
Liang Zhang

Centralized management and sharing of manufacturing resources is one of the important functions of cloud manufacturing platform. There are many kinds of manufacturing resources, centralized management, optimized scheduling, quick searching for various manufacturing resources become important issues in a cloud manufacturing platform. This paper presents a resource management model based on metadata to realize the access and unified management of the hardware resources, software resources and knowledge resources. Two management approaches respectively for static and dynamic resource data are introduced to realize resource state monitoring and real-time information collecting. On this basis, the relationship between static and dynamic data is determined and service-oriented of resources is realized.


2011 ◽  
Vol 120 ◽  
pp. 456-459 ◽  
Author(s):  
Li Sun ◽  
Jian Min Fan ◽  
Zi Qin Ma ◽  
Xiu Lun Wang ◽  
Hao Tan ◽  
...  

Based on the philosophy of cloud computing and cloud manufacturing, cloud process management, a new intelligently network process management model, is proposed. And it is service-oriented, highly efficient, and knowledge-based. On the base of the study of contemporary process management, cloud computing, and cloud manufacturing, product life cycle-oriented cloud process management is researched with the survey of a large state-owned enterprise. The cloud process management is initially defined. The structure model of cloud process management is expounded. And the application mode of product life cycle-oriented cloud process management is initially put forward. These establish the foundation for further research.


2010 ◽  
Vol 143-144 ◽  
pp. 1250-1253 ◽  
Author(s):  
Lei Wu

To solve more complex manufacturing problems and perform larger scale collaborative manufacturing, a new service-oriented networked manufacturing model—Cloud Manufacturing is presented. The paper presents a resource virtualization model to support resource sharing in cloud manufacturing environment. It can be decomposed into four layers: manufacturing resources layer, concrete web service layer, logical service layer and application layer. The relationships of every layer are discussed in detail. At last, we make a conclusion and put forward the future work.


Author(s):  
Göran Adamson ◽  
Lihui Wang ◽  
Magnus Holm

Cloud manufacturing has emerged as a new manufacturing paradigm, which combines technologies (such as Internet of Things, Cloud computing, semantic Web, virtualisation and service-oriented technologies) with advanced manufacturing models, information and communication technologies. It aims to be networked, intelligent, service-oriented, knowledge-based and energy efficient, and promises a variety of benefits and advantages by providing fast, reliable and secure on-demand services for users. It is envisioned that companies in all sectors of manufacturing will be able to package their resources and know-hows in the Cloud, making them conveniently available for others through pay-as-you-go, which is also timely and economically attractive. Resources, e.g. manufacturing software tools, applications, knowledge and fabrication capabilities, will then be made accessible to presumptive consumers on a worldwide basis. After surveying a vast array of available publications, this paper presents an up-to-date literature review together with future trends and research directions in Cloud manufacturing.


2011 ◽  
Vol 201-203 ◽  
pp. 685-688 ◽  
Author(s):  
Yong Liang Luo ◽  
Lin Zhang ◽  
Dong Jing He ◽  
Lei Ren ◽  
Fei Tao

Cloud manufacturing (CMfg) is a new service-oriented, highly efficient, lowly consumption knowledge based, and intelligent networked manufacturing model. It aims to provide theoretical and technical supports for the transformation from production-oriented manufacturing to service-oriented manufacturing [1]. In order to further analyze the connotation and characteristics of CMfg, multi-view models for CMfg are investigated based on [1] and [2] in this paper. The first is the network view model, which describes four kinds of network involved in the running process of CMfg system; the second is the function view model, which describes the functional subsystems of CMfg; the third is the running view model, which represents the running process after a requirement is submitted to CMfg system.


2014 ◽  
Vol 624 ◽  
pp. 687-693
Author(s):  
Pei Zhi Liu ◽  
Jun Ji ◽  
Wei Yan Chai ◽  
Xiao Chuan Zhao

To realize sharing and synergy between manufacturing resources and manufacturing capability in cloud manufacturing, the manufacturing service model is divided into function model and non-function model. Elements and description of function model is given, and function model determines manufacturing services’ combination planning. Also the composition of non-function model and each part’s weight is presented, and non-function model is the basis to evaluate the priority of manufacturing services. For the case of resource in cloud manufacturing services, sharing ontology and private ontology are researched. Sharing ontology is common description of the whole manufacturing domain, and private ontology is individual description of a specific manufacturing platform. The transformation between sharing ontology and private ontology provides a way for isomerism resources to invoke each other.


2012 ◽  
Vol 482-484 ◽  
pp. 2424-2429 ◽  
Author(s):  
De Yi Tai ◽  
Fu Yuan Xu

As a new service-oriented manufacturing paradigm, cloud manufacturing (CMfg) was proposed to realize the added-value and on-demand use of manufacturing resource and ability. Compared with cloud computing, the complexity of CMfg cooperation was analyzed. Supply and demand network of enterprises with multifunction and opening characteristics (SDN) was introduced as a new paradigm of manufacturing cooperation. Dynamic, diversity, fully open and inclusive cooperation are the key concept of SDN. The CMfg cooperation based on SDN was analyzed, from three-dimension of lever, function and space. A model of cooperation-oriented CMfg was built. Resource-oriented, service-oriented and innovation-oriented cooperation were proposed to prompt the implementation and the platform building of CMfg, from the business cooperation perspective.


Author(s):  
Yongkui Liu ◽  
Lin Zhang ◽  
Fei Tao ◽  
Long Wang

Cloud manufacturing (CMfg) is a new service-oriented networked manufacturing paradigm. In a CMfg system, the operator of CMfg platform provides services for resource providers to publish their idle manufacturing resources and for resource demanders to access the resource pool on-demand. To uncover the underlying mechanism supporting the development and implementation of CMfg, a model of CMfg system is proposed by abstracting the CMfg operator as a third party and modeling the relationships of CMfg users using the scale-free network. We investigate the effect of saturation degree of manufacturing task and find that there exists an intermediate value of the parameter optimally favoring the participation of enterprises in CMfg. We also study the charging issue. The obtained result shows that the CMfg system is robust with respect to resource charge. Finally, we discuss the future work and conclude the paper.


Author(s):  
Matthew Sadiku ◽  
Yonghui Wang ◽  
Suxia Cui ◽  
Sarhan Musa

Cloud manufacturing is emerging as a new manufacturing paradigm which applies well-known basic concepts from cloud computing to manufacturing processes and deliver shared, ubiquitous, on-demand manufacturing services. It  is an innovative, web-based manufacturing model. It is promising to transform today’s manufacturing industry from production-oriented to service-oriented, highly collaborative manufacturing of the future. This paper provides a brief introduction to cloud manufacturing.


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