Construction of a Cloud Manufacturing Platform for Service Sharing in Manufacturing Industry Park

2015 ◽  
Vol 789-790 ◽  
pp. 1258-1263 ◽  
Author(s):  
Ming Zhi Tan ◽  
Shu Ping Yi ◽  
Rui Zeng ◽  
Zong Lin Guo
Keyword(s):  
Manufacturing Industry ◽  
Cloud Manufacturing ◽  
Utilization Rate ◽  
Trust Evaluation ◽  
Operational Model ◽  
Service Allocation ◽  
Industrial Parks ◽  
Optimal Service ◽  
Key Technologies ◽  
Manufacturing Platform

Industrial Parks thrive in China in the last few decades, but they face the problems of weak accumulative effect, low utilization rate of idle resources and loose regional bonds. To solve these problems, a cloud manufacturing platform is proposed to share services in Industrial Parks. Specially, the principles, architecture and operational model of CMPSS are discussed and investigated to facilitate the inter-enterprises collaboration. Furthermore, four key technologies to implement CMPSS including resource servitization, task decomposition, optimal service allocation and service trust evaluation are conducted to lay a foundation for further research and applications.

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.

scholarly journals A Heuristic Algorithm for Optimal Service Composition in Complex Manufacturing Networks

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-20 ◽  
Author(s):  
Yinan Wu ◽  
Gongzhuang Peng ◽  
Hongwei Wang ◽  
Heming Zhang
Keyword(s):  
Service Composition ◽  
Optimal Path ◽  
Cloud Manufacturing ◽  
Search Procedure ◽  
Manufacturing Networks ◽  
Composition Problem ◽  
Optimal Service ◽  
Manufacturing Platform ◽  
Manufacturing Network ◽  
Composition Path

Service composition in a Cloud Manufacturing environment involves the adaptive and optimal assembly of manufacturing services to achieve quick responses to varied manufacturing needs. It is challenged by the inherent heterogeneity and complexity of these services in terms of their diverse and complex functions, qualities of service, execution paths, etc. In this paper, a manufacturing network is constructed to explicitly identify and describe the relationships between individual services based on their attributes. On this basis, the service composition problem can be modeled as a multiple-constrained optimal path (MCOP) selection problem by taking into account different types of composition, namely, sequence, parallel, selection, and cycle. A novel Dual Heuristic Functions based Optimal Service Composition Path algorithm (DHA_OSCP) is proposed to solve the NP-Complete MCOP problem, which involves exploiting the backward search procedure with different search targets to obtain two heuristic functions for the forward search procedure. The proposed algorithm is evaluated through a set of computational experiments in which the proposed algorithm and other popular algorithms such as MFPB_HOSTP are applied to the same dataset, and the results obtained show that DHA_OSCP can efficiently find the optimal service composition path with better Quality of Service (QoS). The viability of DHA_OSCP is further proved in a case study of services composition on a Cloud Manufacturing platform.

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.

Cloud Manufacturing Platform: Operating Paradigm, Functional Requirements, and Architecture Design

2013 ◽  
Author(s):  
Lei Ren ◽  
Lin Zhang ◽  
Chun Zhao ◽  
Xudong Chai
Keyword(s):  
Manufacturing Industry ◽  
Cloud Manufacturing ◽  
Point Of View ◽  
Functional Requirements ◽  
Research Issues ◽  
Reference Design ◽  
Service Oriented ◽  
Manufacturing Platform ◽  
Knowledge Intensive ◽  
Main Components

Cloud manufacturing is emerging as a new promising business paradigm as well as an integrated technical approach, contributing to the shaping of a highly-collaborative, knowledge-intensive, service-oriented and eco-efficient manufacturing industry. The following research issues concerning cloud manufacturing platform, what users can achieve with the platform, what the platform can do, and how to design it, play crucial roles in this new area. This paper proposes a cloud manufacturing paradigm that depicts a typical scenario which can provide an explanation for the concept of cloud manufacturing and makes the mysterious “cloud” transparent. Then the functional requirements of cloud manufacturing platform are investigated to specify design objectives. Based on these, the paper presents the design of MfgCloud, a cloud manufacturing platform prototype. In discussion of the main components of MfgCloud, the specific concepts different from those corresponding terms in IT area are also defined and given their implementation mechanisms. Consequently, this paper proposes a new point of view for the concept of cloud manufacturing, and accordingly presents a reference design of cloud manufacturing platform.

Manufacturing Information Based on Cloud Service Platform

2014 ◽  
Vol 971-973 ◽  
pp. 1901-1905
Author(s):  
Huan Zhang
Keyword(s):  
Cloud Service ◽  
Cloud Manufacturing ◽  
Maintenance Cost ◽  
Service Platform ◽  
Manufacturing Information ◽  
Key Technologies ◽  
On Line ◽  
Manufacturing Platform ◽  
Equipment Utilization ◽  
Cloud Service Platform

In order to solve dispersed resources of enterprise and diversity of manufacture, put forward the methods to realize manufacturing information using cloud technology. The key technologies of cloud computing and cloud manufacturing are discussed for small or middle manufacturing enterprise and studying technology characteristic, application pattern and realizing method for cloud manufacturing service platform. Fault diagnosis, performance evaluation and maintenance are shown on cloud manufacturing platform so that obtain data of equipment's state on line. Thus, improve equipment utilization and reduce shutting down time and maintenance cost.

scholarly journals Research on cloud manufacturing platform for small and medium-sized enterprises

2020 ◽  
Vol 309 ◽  
pp. 02015
Author(s):  
Shujie Ke ◽  
Shengkai Chen ◽  
Mengnan Liu ◽  
Cunzhi Xu ◽  
Jie Bai ◽  
...  
Keyword(s):  
Manufacturing Industry ◽  
Monitoring And Evaluation ◽  
Cloud Manufacturing ◽  
Service Access ◽  
Task Management ◽  
Core Competitiveness ◽  
Manufacturing Enterprises ◽  
Access Service ◽  
Service Mode ◽  
Manufacturing Platform

With the adjustment of China’s economic structure, it is essential for manufacturing enterprises, especially SMEs, to improve their core competitiveness. Based on the service mode of Cloud manufacturing, this paper designs and develops a cloud manufacturing platform for SMEs. Firstly, according to the characteristics of cloud manufacturing, the overall framework of the platform is determined, and the corresponding function tree is refined. Then, the key technologies are studied, including the modeling and standardization of manufacturing services, the matching of task, the execution, the online monitoring of service, and the evaluation of post-service. The functions of service access, service matching, outsourcing task management, remote monitoring, and evaluation of tasks are realized. Finally, the platform is applied in the mold manufacturing industry, and an example analysis is carried out to verify the effectiveness of the proposed platform.

Research of Cloud Manufacturing and Resource Encapsulation Technology

2011 ◽  
Vol 58-60 ◽  
pp. 562-566 ◽  
Author(s):  
Chun Quan Li ◽  
Chun Yang Hu ◽  
Yan Wei Wang ◽  
Pan Feng Zhu
Keyword(s):  
Information Technology ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Cloud Manufacturing ◽  
Networked Manufacturing ◽  
Key Technologies ◽  
New Type ◽  
Definition Of

A new type of networked manufacturing — cloud manufacturing is forming and developing with the development of information technology and manufacturing industry. This paper gives the definition of cloud manufacturing and puts forward a structure of cloud manufacturing system. At the same time we discuss the key technologies for realization of resource encapsulation of cloud manufacturing by using EDDL technology.

Dynamic Manufacturing Capability Assessment of Industrial Robots Based on Feedback Information in Cloud Manufacturing

2017 ◽  
Author(s):  
Zeyu Zhang ◽  
Wenjun Xu ◽  
Quan Liu ◽  
Zude Zhou ◽  
Duc Truong Pham
Keyword(s):  
Manufacturing Industry ◽  
Dynamic Assessment ◽  
Cloud Manufacturing ◽  
Industrial Robots ◽  
Assessment Model ◽  
Advanced Technology ◽  
Distribution Model ◽  
Information Feedback ◽  
Optimal Solutions ◽  
Manufacturing Capability

With the development of information and computer network technology, cloud manufacturing has been developing rapidly, industrial robots (IRs) as a vital symbol and an advanced technology of manufacturing industry, in scheduling service, the constantly changing information data will result in the corresponding vary of the manufacturing capability. Under a fixed constraint of some capability service request, this will decrease the number of the optimal solutions and provide the inaccurate service to users. So it is important to make the manufacturing capability stable and obtain more optimal solutions to satisfy the constraint, thus the dynamic assessment of manufacturing capability based on information feedback is investigated in this paper. A set of indicators is established considering the IRs’ manufacturing capability and a new dynamic assessment model is proposed to achieve the actual data and the expected data information feedback, using the “normal distribution” model, which can correct the assessment weight. By the way, a case study is simulated in the MATLAB, which shows the reliability and reasonability of this method in evaluate the manufacturing capability in IR.

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.

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