scholarly journals A Bilayer Resource Model for Cloud Manufacturing Services

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Linan Zhu ◽  
Yanwei Zhao ◽  
Wanliang Wang
Keyword(s):  
Manufacturing Industry ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Service Description ◽  
Resource Model ◽  
Attribute Model ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Manufacturing Platform ◽  
Resource Service

Cloud Manufacturing and Cloud Service is currently one of the main directions of development in the manufacturing industry. Under the Cloud Manufacturing environment, the characteristics of publishing, updating, searching, and accessing manufacturing resources are massive, complex, heterogeneous, and so forth. A bilayer manufacturing resource model with separation of Cloud End and Cloud Manufacturing Platform is proposed in this paper. In Cloud End, manufacturing resources are divided into single resource and complex resource, and a basic data model of manufacturing resources oriented to enterprise interior is established to store the physical characteristics. In Cloud Manufacturing Platform, a resource service attribute model oriented to actual users is established to store the service characteristics. This model is described in detail and realized with stateful Web Service Description Language (WSDL) document. An example is provided for illustrating the implementation of the concept.

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.

A Model of Competitive Hybrid Granularity Manufacturing Resource and its Unify Cloud Service Modeling

2014 ◽  
Vol 670-671 ◽  
pp. 1556-1561 ◽  
Author(s):  
Xuan Liu ◽  
Wei Tan
Keyword(s):  
Business Process ◽  
Service Discovery ◽  
Manufacturing Industry ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Basic Function ◽  
Cloud Services ◽  
Utilization Rate ◽  
Service Model ◽  
Manufacturing Resource

With the application of cloud computing technology in the manufacturing industry, there appear all sorts of the manufacturing cloud services on the network. Basic of manufacturing cloud service is manufacturing resource, and the business process is the business context of the manufacturing resource. In order to improve the utilization rate of cloud services, a model for the hybrid granularity manufacturing resources with strong competitiveness is put forward, including basic information, basic function, business process and quality of service of manufacturing resource, and based on which cloud manufacturing service model is construct. The service discovery experiment is designed based on the manufacturing cloud service model, and the experimental results prove that the cloud service from strong competitive hybrid granularity manufacturing resource has more competitive power and higher utilization.

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.

Key Issues for Cloud Manufacturing Platform

2012 ◽  
Vol 472-475 ◽  
pp. 2621-2625 ◽  
Author(s):  
Zhen Nan Zhang ◽  
Pei Si Zhong
Keyword(s):  
Service Discovery ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Added Value ◽  
Future Research ◽  
Manufacturing Capability ◽  
Key Issues ◽  
Manufacturing Resource ◽  
Manufacturing Platform ◽  
Cloud Service Composition

In order to realize sharing and collaboration of manufacturing resource and manufacturing capability based on knowledge and to realize added value of manufacturing resource and manufacturing capability. In this paper, we propose an ontology-based architecture for cloud manufacturing platform. Meanwhile, several key issues for cloud manufacturing platform including semantic description of manufacturing resource and manufacturing capability, manufacturing cloud service advertisement, manufacturing cloud service discovery and manufacturing cloud service composition are studied in particular. Thus, the research provides foundation for the future research, development, implementation and application of cloud manufacturing platform.

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.

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).

Cloud Manufacturing Resource Management Based on Metadata

2015 ◽  
Author(s):  
Chun Zhao ◽  
Lin Zhang ◽  
Xuesong Zhang ◽  
Liang Zhang
Keyword(s):  
Resource Management ◽  
Cloud Manufacturing ◽  
State Monitoring ◽  
Knowledge Resources ◽  
Centralized Management ◽  
Service Oriented ◽  
Manufacturing Resources ◽  
Resource Data ◽  
Manufacturing Platform ◽  
Management Approaches

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.

Coordination and Optimization of Large Equipment Complete Service in Cloud Based Manufacturing

2017 ◽  
Vol 13 (4) ◽  
pp. 56-71 ◽  
Author(s):  
Xiaochun Sheng ◽  
Kefeng Wang
Keyword(s):  
Theoretical Basis ◽  
Scientific Method ◽  
Cloud Manufacturing ◽  
Collaborative Optimization ◽  
Collaborative Management ◽  
Manufacturing Resource ◽  
The Stability ◽  
And Control ◽  
Manufacturing Mode ◽  
Resource Service

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.

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.

Semantic Business Process Integration in Cloud Manufacturing Paradigm

2012 ◽  
Vol 235 ◽  
pp. 379-383 ◽  
Author(s):  
Yun Bo Zeng
Keyword(s):  
Business Process ◽  
Manufacturing Industry ◽  
Business Processes ◽  
Process Integration ◽  
Main Idea ◽  
Cloud Manufacturing ◽  
Distributed Resources ◽  
Manufacturing Resources ◽  
Business Process Execution ◽  
Detailed Presentation

Global competition in the manufacturing industry forces to build a cross-organizational business process cooperative environment, in which manufacturers can share and utilize distributed resources and competencies for rapidly and cost-effectively developing products. But the varying manufacturing resources are heterogeneity which limits the business process execution in an automated way. This paper presents an approach for cross-organizational business processes integration in the cloud manufacturing paradigm. The main idea is to encapsulate an organization’s resources and competencies within appropriate interfaces and advertise it as semantic web services, called manufacturing service. An executable business process is achieved by manufacturing services composition. We give a detailed presentation of the cloud manufacturing service model. Semantically description of service not only contains resources’ capability, but also is considered as mediators to bridge the gap between the modeled processes and their implementation. The main integration process is introduced based our approach.

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