A classification matching method for manufacturing resource in cloud manufacturing environment

2017 ◽  
Vol 08 (02) ◽  
pp. 1750057 ◽  
Author(s):  
Wei-Jiao Feng ◽  
Chao Yin ◽  
Xiao-Bin Li ◽  
Liang Li
Keyword(s):  
Description Logic ◽  
Cloud Manufacturing ◽  
Matching Method ◽  
Information Matching ◽  
Implementation Stages ◽  
Service Oriented ◽  
Geographically Distributed ◽  
Manufacturing Resource ◽  
Dynamic Description ◽  
Demand Classification

Cloud manufacturing (CMfg), combining the idea and technologies of cloud computing and Internet of Things, is an emerging service-oriented manufacturing model. The supply–demand matching of manufacturing resources is one of the key technologies for implemention. However, resources in CMfg system are geographically distributed, functional of similar and dynamically changeable, and these features make it difficult to obtain higher accuracy for existing matching methods. In order to select the most satisfied resources in CMfg, a semantics-based supply–demand classification matching method (SDCM) is proposed. Firstly, the implementing framework of SDCM is constructed. Then, combined with the theories of ontology and dynamic description logic, a semantics-based SDCM algorithm is designed, which includes four implementation stages, respectively, basic information matching, IOPE parameters (Input, Outputs, Preconditions, Effects) matching, QoS (Quality of Service) matching and comprehensive matching. Finally, a case verifies the feasibility and effectiveness of the proposed method.

Virtualize Manufacturing Capabilities in the Cloud: Requirements and Architecture

2013 ◽  
Author(s):  
Xi Vincent Wang ◽  
Xun W. Xu
Keyword(s):  
Manufacturing Industry ◽  
Cloud Manufacturing ◽  
International Standards ◽  
Functional Requirements ◽  
Distributed Environment ◽  
Paper Manufacturing ◽  
Cloud Resource ◽  
Service Oriented ◽  
Manufacturing Resource ◽  
Manufacturing Technologies

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.

3D Printing in Cloud Manufacturing: Model and Platform Design

2016 ◽  
Author(s):  
Lei Ren ◽  
Shicheng Wang ◽  
Yijun Shen ◽  
Shikai Hong ◽  
Yudi Chen ◽  
...  
Keyword(s):  
3D Printing ◽  
Cloud Model ◽  
Cloud Manufacturing ◽  
Architecture Design ◽  
Know How ◽  
Platform Architecture ◽  
Service Oriented ◽  
Geographically Distributed ◽  
3D Printers ◽  
Advanced Model

Although 3D printing has attracted remarkable attention from both industry and academia society, still only a relatively small number of people have access to required 3D printers and know how to use them. One of the challenges is that how to fill the gap between the unbalanced supply of various 3D printing capabilities and the customized demands from geographically distributed customers. The integration of 3D printing into cloud manufacturing may promote the development of future smart networks of virtual 3D printing cloud, and allow a new service-oriented 3D printing business model to achieve mass customization. This paper presents a primary 3D printing cloud model and an advanced 3D printing cloud model, and analyzes the 3D printing service delivery paradigms in the models. Further, the paper proposes a 3D printing cloud platform architecture design to support the advanced model. The proposed advanced 3D printing cloud model as well as the architecture design can provide a reference for the development of various 3D printing clouds.

Cloud Manufacturing Based on Cooperative Concept of SDN

2012 ◽  
Vol 482-484 ◽  
pp. 2424-2429 ◽  
Author(s):  
De Yi Tai ◽  
Fu Yuan Xu
Keyword(s):  
Cloud Computing ◽  
Supply And Demand ◽  
Cloud Manufacturing ◽  
Added Value ◽  
Three Dimension ◽  
New Paradigm ◽  
On Demand ◽  
Service Oriented ◽  
Manufacturing Resource

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.

Dynamic Supply-Demand Matching for Manufacturing Resource Services in Service-Oriented Manufacturing Systems: A Hypernetwork-Based Solution Framework

2015 ◽  
Author(s):  
Ying Cheng ◽  
Fei Tao ◽  
Lin Zhang ◽  
Dongming Zhao
Keyword(s):  
Manufacturing Systems ◽  
Dynamic Environment ◽  
Cloud Manufacturing ◽  
Statistical Characteristics ◽  
Industrial Internet ◽  
Product Service ◽  
Service Oriented ◽  
Manufacturing Resource ◽  
Manufacturing Platform ◽  
Product Service Systems

Nowadays, service-oriented manufacturing (SOM) systems (e.g., cloud manufacturing (CMfg), product service systems (PSS), etc.) have attracted more and more interesting and attention of researchers from many different fields. However, because of the complex and dynamic environment, one of the most important issues need to be addressed for the promotion and application of SOM system is the dynamic supply-demand matching and scheduling of manufacturing resource services. In this paper, the issue of supple-demand matching in the typical SOM system is carried out at first. Then the dynamics and different models facing different users and different demands are analyzed respectively. As a result, a hypernetwork-based solution framework of this issue and the cloud manufacturing platform adding with the related functions are proposed with consideration of multi-objects, statistical characteristics and evolution. Finally, some future works with big data and industrial Internet of things are pointed out in the summary.

Research on the Measurement Method of Flexibility of Resource Service Composition in Cloud Manufacturing

2010 ◽  
Vol 139-141 ◽  
pp. 1451-1454 ◽  
Author(s):  
Hua Guo ◽  
Lin Zhang ◽  
Fei Tao ◽  
Lei Ren ◽  
Yong Liang Luo
Keyword(s):  
Service Composition ◽  
Measurement Method ◽  
Cloud Manufacturing ◽  
Added Value ◽  
Optimal Selection ◽  
Dynamic Changes ◽  
Service Oriented ◽  
Manufacturing Resource ◽  
Resource Service ◽  
Selection Of

In order to overcome the bottlenecks of traditional network manufacturing, a new service-oriented networked manufacturing model, i.e. the cloud manufacturing (CMfg), was proposed recently. As an effective method for the realization of the added value of manufacturing resource, resource service composition (RSC) plays an important role in the implementation of CMfg. In view of the issue of dynamic changes occurred during RSC in CMfg, this paper presents the concept of flexibility of RSC as well as the idea of optimal-selection of RSC based on flexibility, which can enable RSC to have the ability to adapt to the dynamic changes. Meantime, the measurement method of flexibility of RSC is investigated. The optimal-selection of RSC based on flexibility can be achieved through quantitative evaluation of flexibility.

Order-Oriented Manufacturing Resource Services Sharing of Building Material and Equipment Enterprise in Cloud Manufacturing

2013 ◽  
Vol 823 ◽  
pp. 565-571 ◽  
Author(s):  
Bai Gang Du ◽  
Shun Sheng Guo ◽  
Yi Bing Li ◽  
Jun Guo
Keyword(s):  
Resource Sharing ◽  
Building Material ◽  
Manufacturing Industry ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Remote Collaboration ◽  
Related Services ◽  
Service Oriented ◽  
Manufacturing Resource ◽  
Manufacturing Resources

The cloud manufacturing brings forward a new idea of manufacturing resource sharing with service-oriented. Recent advances in information technology, such as cloud computing, internet of things, make it easier for heterogeneous resources in different regions to remote collaboration in cloud manufacturing. To help improve the success of distributed manufacturing resource sharing for service provider and user in building material and equipment enterprise (BMEE), the order-oriented cloud service library (OCSL) and order-based model for shared manufacturing resources (OMSMR) are proposed after analysing the management features of manufacturing resources in BMEE. The OCSL gives a relationship description between task orders and related services. Moreover, a case study is undertaken to evaluate the proposed model. The model brings into manufacturing industry for manufacturing resource sharing with a number of benefits such as openness, integrity and traceability.

Manufacturing Service Management in Cloud Manufacturing: Overview and Future Research Directions

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Fei Tao ◽  
Lin Zhang ◽  
Yongkui Liu ◽  
Ying Cheng ◽  
Lihui Wang ◽  
...  
Keyword(s):  
Service Management ◽  
Rapid Development ◽  
Cloud Manufacturing ◽  
Future Research ◽  
Research Directions ◽  
The Past ◽  
Service Oriented ◽  
Manufacturing Resource ◽  
Future Research Directions

As a new service-oriented manufacturing paradigm, cloud manufacturing (CMfg) has experienced rapid development in the past five years. The research on its theories, key technologies, developments, and applications still keeps attracting attentions from more and more researchers. One of the most important issues to its improvements and quality of service (QoS) is the manufacturing service management (MSM). CMfg aims to realize the full-scale sharing, free circulation and transaction, and on-demand use of various manufacturing resource and capabilities in the form of manufacturing service. Without the effective operation and technical support of MSM, the implementation of CMfg and its aim cannot be achieved. It is therefore necessary to summarize the existing works and technologies on MSM in CMfg. This paper first provides a brief overview of CMfg and then focuses on the problem of MSM in CMfg from the service lifecycle perspective. The advances on MSM technology from eleven aspects are investigated and summarized. Finally, future research directions are identified and discussed. It is evident that the future MSM in CMfg is closely related to Internet of things (IoT), big data, and cloud computing.

A Cloud Solution for Service Oriented Workshop Management

2021 ◽  
Author(s):  
Xiaobin Li ◽  
Chao Yin
Keyword(s):  
Cloud Service ◽  
Cloud Manufacturing ◽  
Heterogeneous Data ◽  
Heterogeneous Data Integration ◽  
Resource Virtualization ◽  
Service Oriented ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Water Gas

Abstract Cloud manufacturing is a state-of-art networked manufacturing model with the idea and technologies of cloud computing to transform traditional production-oriented manufacturing into service-oriented manufacturing. This emerging model can make manufacturing resources, in a manner similar to traditional utilities such as water, gas and electricity, available (offered) over the internet as convenient, scalable, on-demand services to enterprises. The aim is to improve the sharing efficiency of manufacturing resources and reduce manufacturing costs in industries. In this paper, the current research of cloud manufacturing is summarized, including relevant theories, technologies and applications. A cloud solution for workshop management is proposed from a service perspective, along with its architecture and business process. The methodologies, including manufacturing resource virtualization and workshop sensor network configuration are developed to support heterogeneous data integration and effective collaboration among services in cloud. A case study is demonstrated and discussed to validate the proposed cloud service system.

Research on the Cloud Manufacturing Service Discovery for Industry Manufacturing System Based on Ontology

2013 ◽  
Vol 712-715 ◽  
pp. 2639-2643 ◽  
Author(s):  
Chen Yang ◽  
Zhong Jie Wang
Keyword(s):  
Service Discovery ◽  
Manufacturing System ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Important Indicator ◽  
Service Oriented ◽  
Manufacturing Resource ◽  
Resource Data ◽  
Manufacturing Platform ◽  
Automatic Matching

With the development of manufacturing globalization, cloud manufacturing is becoming a hotspot of network manufacturing. In cloud manufacturing, how to response to users services demands fast and accurately is an important indicator to evaluate the performance of this system. To achieve a cloud manufacturing platform for industry manufacturing system, this paper proposes service-oriented platform architecture based on semantic. Also, to realize the manufacturing resource data virtualization, the semantic description of manufacturing cloud and the combined manufacturing ontology is established. To fulfill the requirements of providing the fit cloud service or service combination, a cloud manufacturing service discovery model is investigated on focus, the organic decomposition and combination of manufacturing cloud is completed by ontology reasoning, and intelligent search and automatic matching of manufacturing cloud is realized.

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