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.

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.

Resource Virtualization Model in Cloud Manufacturing

2010 ◽  
Vol 143-144 ◽  
pp. 1250-1253 ◽  
Author(s):  
Lei Wu
Keyword(s):  
Resource Sharing ◽  
Cloud Manufacturing ◽  
Application Layer ◽  
Resource Virtualization ◽  
Service Oriented ◽  
Model Cloud ◽  
Manufacturing Resources ◽  
Support Resource ◽  
Future Work ◽  
Manufacturing Problems

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.

Enterprises in Cloud Manufacturing: A Preliminary Exploration

2017 ◽  
Author(s):  
Yongkui Liu ◽  
Xun Xu ◽  
Ananth Srinivasan ◽  
Lin Zhang
Keyword(s):  
Enterprise Architecture ◽  
Cloud Manufacturing ◽  
Enterprise Modeling ◽  
Cloud Infrastructure ◽  
Enterprise Information ◽  
Enterprise Information Systems ◽  
Manufacturing Enterprises ◽  
Critical Issues ◽  
Manufacturing Resources ◽  
Manufacturing Platform

Cloud manufacturing is a new manufacturing paradigm in which manufacturing resources and capabilities offered by different enterprises are provided as cloud-based services over the Internet. In addition to the cloud manufacturing platform, enterprises as resource providers are also essential part of a cloud manufacturing system as customer orders that are submitted to the cloud platform will ultimately need to be dispatched to enterprises’ production sites for execution. So far, however, issues concerning enterprises in cloud manufacturing has attracted little attention of researchers, and the most frequently mentioned issue in existing research that are concerned with enterprises is how to connect enterprises’ resources to the cloud infrastructure. This, to a large extent, hinders the development and implementation of cloud manufacturing as the lack of research on enterprises fails to uncover the requirements for enterprises in cloud manufacturing (i.e. Cloud Manufacturing Enterprises, CMEs), and thus enterprises have no reference for evaluating the changes that need to be made to adopt this new manufacturing paradigm. This paper focuses on this important issue and conducts a preliminary exploration on CMEs. We first analyze the requirements for CMEs, and then discuss some critical issues with CMEs in detail, including enterprise information systems, enterprise architecture, and enterprise modeling.

Research on the Key Technology of Manufacturing Services Modeling under Cloud Manufacturing Environments

2014 ◽  
Vol 624 ◽  
pp. 687-693
Author(s):  
Pei Zhi Liu ◽  
Jun Ji ◽  
Wei Yan Chai ◽  
Xiao Chuan Zhao
Keyword(s):  
Cloud Manufacturing ◽  
Service Model ◽  
Function Model ◽  
Key Technology ◽  
Manufacturing Capability ◽  
Manufacturing Resources ◽  
Manufacturing Platform ◽  
And Function ◽  
Manufacturing Environments

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.

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.

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.

Development and Implementation of Cloud Manufacturing: An Evolutionary Perspective

2013 ◽  
Author(s):  
Yongkui Liu ◽  
Lin Zhang ◽  
Fei Tao ◽  
Long Wang
Keyword(s):  
Underlying Mechanism ◽  
Cloud Manufacturing ◽  
Third Party ◽  
Scale Free Network ◽  
Scale Free ◽  
Service Oriented ◽  
Free Network ◽  
Manufacturing Resources ◽  
Intermediate Value ◽  
Future Work

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.

scholarly journals The Essence of Cloud Manufacturing

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Tolulope J. Ashaolu ◽  
Abayomi Ajayi-Majebi ◽  
Sarhan M. Musa
Keyword(s):  
High Performance ◽  
Manufacturing System ◽  
Cloud Manufacturing ◽  
Smart Manufacturing ◽  
Computing Technology ◽  
Knowledge Based ◽  
Service Oriented ◽  
Manufacturing Resources ◽  
Manufacturing Software ◽  
Performance Computing

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.

scholarly journals Cloud Manufacturing Platform and Architecture Design

2018 ◽  
Vol 1 (1) ◽  
pp. 673-680
Author(s):  
Julia Siderska ◽  
Khambi Mubarok
Keyword(s):  
Manufacturing System ◽  
Cloud Manufacturing ◽  
Interface Layer ◽  
Cloud Services ◽  
Application Layer ◽  
Platform Architecture ◽  
Service Oriented ◽  
Manufacturing Platform ◽  
Core Idea ◽  
Virtual Resources

Abstract Cloud Manufacturing (CMfg) is an emerging networked manufacturing paradigm and service-oriented manufacturing model, in which distributed manufacturing resources are made available by providers according to consumers’ requirements as on-demand manufacturing services via networks (manufacturing clouds) and cloud manufacturing service platforms. Considering the concept of cloud manufacturing and its operation principle, the paper designs and introduces new proposal of cloud manufacturing service platform architecture, including the following six layers: physical resources layer, soft resources layer, virtual resources layer, services layer, application layer and service-oriented interface layer. After surveying majority of papers introducing architectures of CMfg service platforms, the paper recommends to map both hard as well as soft resources into cloud services from resource layers to virtual resource layer which highlights the core idea of the concept. The paper discusses also the fundamentals of the CMfg paradigm, introduces three groups of actors that participate in a cloud manufacturing system, as well as indicates briefly a typical hierarchy architecture of cloud manufacturing system.

Computational Trust in Cloud Manufacturing

2013 ◽  
Vol 774-776 ◽  
pp. 1908-1913 ◽  
Author(s):  
Lu Gao ◽  
Quan Liu ◽  
Ping Lou
Keyword(s):  
Manufacturing Systems ◽  
Service Providers ◽  
Cloud Manufacturing ◽  
Trust Model ◽  
Virtual Manufacturing ◽  
Manufacturing Environment ◽  
Collaborative Relationships ◽  
Computational Trust ◽  
Service Oriented ◽  
Manufacturing Resources

Cloud manufacturing is a new kind of advanced service-oriented network manufacturing paradigm. There are two kinds of nodes in this network manufacturing environment: manufacturing service nodes (service providers) encapsulated by manufacturing resources and task nodes (service customers). One of the bases of building up the collaborative relationships between customers and providers in cloud manufacturing environment is their reciprocal trust. However, vicious, mendacious, and inveracious information makes it quite difficult for customers to find reliable and high-quality providers to form virtual manufacturing systems for efficiently responding to market demands in cloud manufacturing environment, viz. service consumers often have insufficient information on service providers. The trustworthy network manufacturing environment is a prerequisite to implementation of cloud manufacturing. In this paper the notion of human trust is extended to the cloud manufacturing. A computational trust model which combines the direct computational reliability and the computational reputation is presented, and the simulating result confirms it valid.

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