Feature-Based Adaptive Manufacturing Equipment Control for Cloud Environments

2016 ◽  
Author(s):  
Göran Adamson ◽  
Lihui Wang ◽  
Magnus Holm ◽  
Philip Moore
Keyword(s):  
Resource Sharing ◽  
Service Management ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Manufacturing Equipment ◽  
Control Approach ◽  
Function Block ◽  
Feature Based ◽  
Cloud Environments ◽  
Manufacturing Resources

The ideas of on-demand, scalable and pay-for-usage resource-sharing in Cloud Manufacturing are steadily attracting more interest. For implementing the concept of Manufacturing-as-a-Service in a cloud environment, description models and implementation language for resources and their capabilities are required. A standardized approach for systemized virtualization, servisilisation, retrieval, selection and composition into higher levels of functionality is necessary. For the collaborative sharing and use of networked manufacturing resources there is also a need for a control approach for distributed manufacturing equipment. In this paper, the technological perspective for an adaptive cloud service-based control approach is described, and a supporting information model for its implementation. The control is realized through the use of a network of intelligent and distributable Function Block decision modules, enabling run-time manufacturing activities to be performed according to actual manufacturing conditions. The control system’s integration to the cloud service management functionality is described, as well as a feature-level capability model and the use of ontologies and the Semantic Web.

Adaptive Robot Control as a Service in Cloud Manufacturing

2015 ◽  
Author(s):  
Göran Adamson ◽  
Lihui Wang ◽  
Magnus Holm ◽  
Philip Moore
Keyword(s):  
Information And Communication Technologies ◽  
Resource Sharing ◽  
Robot Control ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Robotic Assembly ◽  
Service Robot ◽  
Shop Floor ◽  
Control Approach ◽  
Functional Perspective

The interest for implementing the concept of Manufacturing-as-a-Service is increasing as concepts for letting the manufacturing shop-floor domain take advantage of the cloud appear. Combining technologies such as Internet of Things, Cloud Computing, Semantic Web, virtualisation and service-oriented technologies with advanced manufacturing models, information and communication technologies, Cloud Manufacturing is emerging as a new manufacturing paradigm. The ideas of on-demand, scalable and pay-for-usage resource-sharing in this concept will move manufacturing towards distributed and collaborative missions in volatile partnerships. This will require a control approach for distributed planning and execution of cooperating manufacturing activities. Without control based on both global and local environmental conditions, the advantages of Cloud Manufacturing will not be fulfilled. By utilising smart and distributable decision modules such as event-driven Function Blocks, run-time manufacturing operations in a distributed environment may be adjusted to prevailing manufacturing conditions. Packaged in a cloud service for manufacturing equipment control, they will satisfy the control needs. By combining different resource types, such as hard, soft and capability resources, the cloud service Robot Control-as-a-Service can be realised. This paper describes the functional perspective and enabling technologies for a distributed control approach for robotic assembly tasks in Cloud Manufacturing.

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.

Dynamic Modeling of Manufacturing Equipment Capability Using Condition Information in Cloud Manufacturing

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Wenjun Xu ◽  
Jiajia Yu ◽  
Zude Zhou ◽  
Yongquan Xie ◽  
Duc Truong Pham ◽  
...  
Keyword(s):  
Real Time ◽  
Dynamic Modeling ◽  
Service Management ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Prototype System ◽  
Process Ontology ◽  
Manufacturing Equipment ◽  
Fundamental Ontology ◽  
Description Framework

There is a growing need of knowledge description of manufacturing equipment and their capabilities for users, in order to efficiently obtain the on-demand services of manufacturing equipment in cloud manufacturing, and the understanding of the manufacturing capability of equipment is the most important basis for optimizing the cloud service management. During the manufacturing processes, a number of uncertain incidents may occur, which could degrade the manufacturing system performance or even paralyze the production line. Hence, all aspects about the equipment should be reflected within the knowledge description, and the static and dynamic information are both included in the knowledge model of manufacturing equipment. Unification and dynamics are the most important characteristics of the framework of knowledge description. The primary work of this study is fourfold. First, three fundamental ontologies are built, namely, basic information ontology, functional ontology, and manufacturing process ontology. Second, the correlation between the equipment ontology and the fundamental ontology that forms the unified description framework is determined. Third, the mapping relationship between the real-time condition data and the model of manufacturing equipment capability ontology is established. On the basis of the mapping relationship, the knowledge structure of the manufacturing equipment capability ontology is able to update in real-time. Finally, a prototype system is developed to validate the feasibility of the proposed dynamic modeling method. The system implementation demonstrates that the proposed knowledge description framework and method are capable of reflecting the current conditions and the dynamic capability of manufacturing equipment.

Requirements and Concept for a Manufacturing Service Management and Execution Platform for Customizable Products

2013 ◽  
Author(s):  
Ursula Rauschecker ◽  
Matthias Stöhr ◽  
Daniel Schel
Keyword(s):  
Flexible Manufacturing ◽  
Service Management ◽  
Cloud Manufacturing ◽  
Use Cases ◽  
It Infrastructure ◽  
Production Networks ◽  
Special Regard ◽  
Execution Platform ◽  
Manufacturing Resources ◽  
Internet Marketplace

Cloud manufacturing provides solutions for a number of tasks concerning the integration of manufacturing resources and production networks. Through it, new possibilities also arise for increasing product individualization. The paper describes how cloud manufacturing concepts allow an Internet marketplace to be established for flexible manufacturing services, which can be used to provide customized products. To do this, first of all use cases related to an appropriate IT infrastructure are analyzed with special regard to the management of manufacturing services which are used to represent manufacturing resources from a technical, financial, logistical, and contractual perspective. Furthermore, requirements on the platform which have to be fulfilled during execution of manufacturing services in a manufacturing cloud are explained and concepts and an architecture for realization of both are described.

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.

Adaptive Web Services Monitoring in Cloud Environments

2013 ◽  
Vol 5 (1) ◽  
pp. 15-27 ◽  
Author(s):  
Yi Wei ◽  
M. Brian Blake
Keyword(s):  
Cloud Computing ◽  
Web Services ◽  
Service Discovery ◽  
Service Management ◽  
Cloud Service ◽  
Third Party ◽  
Control Approach ◽  
Adaptive Monitoring ◽  
Service Activities ◽  
Monitoring Algorithm

Cloud computing environments provide flexible infrastructures for third-party management of organizations’ information technology (IT) assets. With web services being a standard for realizing web-based business capabilities, the emergence of cloud computing will bring new challenges to different web service activities. In this paper, the authors propose an agent-based framework that employs a team of management and monitoring agents on different scopes to provides effective service management in a cloud environment. To tackle the dynamism in service operations, an adaptive monitoring algorithm is proposed. The algorithm is inspired by the congestion control approach from the TCP protocol and provides efficient, up-to-date information about service status without exhaustive monitoring. Experimental results show that the monitoring algorithm provides significant benefits when compared to the more exhaustive methods. This approach also facilitates other service activities, such as cross cloud service discovery.

Function Block-Based Multimodal Control for Symbiotic Human–Robot Collaborative Assembly

2021 ◽  
Vol 143 (9) ◽  
Author(s):  
Sichao Liu ◽  
Lihui Wang ◽  
Xi Vincent Wang
Keyword(s):  
Robot Control ◽  
Control Approach ◽  
Function Block ◽  
Collaborative Assembly ◽  
Function Blocks ◽  
Feature Based ◽  
Human Operators ◽  
Block Based ◽  
And Control ◽  
Assembly Tasks

AbstractIn human–robot collaborative assembly, robots are often required to dynamically change their preplanned tasks to collaborate with human operators in close proximity. One essential requirement of such an environment is enhanced flexibility and adaptability, as well as reduced effort on the conventional (re)programming of robots, especially for complex assembly tasks. However, the robots used today are controlled by rigid native codes that cannot support efficient human–robot collaboration. To solve such challenges, this article presents a novel function block-enabled multimodal control approach for symbiotic human–robot collaborative assembly. Within the context, event-driven function blocks as reusable functional modules embedded with smart algorithms are used for the encapsulation of assembly feature-based tasks/processes and control commands that are transferred to the controller of robots for execution. Then, multimodal control commands in the form of sensorless haptics, gestures, and voices serve as the inputs of the function blocks to trigger task execution and human-centered robot control within a safe human–robot collaborative environment. Finally, the performed processes of the method are experimentally validated by a case study in an assembly work cell on assisting the operator during the collaborative assembly. This unique combination facilitates programming-free robot control and the implementation of the multimodal symbiotic human–robot collaborative assembly with the enhanced adaptability and flexibility.

A Feature Based Method for Product-Oriented Representation to Manufacturing Resources in Cloud Manufacturing

2014 ◽  
Author(s):  
Xu Liu ◽  
Yingguang Li ◽  
Wei Wang ◽  
Lihui Wang
Keyword(s):  
Decision Making ◽  
Knowledge Base ◽  
Cloud Manufacturing ◽  
Current Status ◽  
Machining Features ◽  
Feature Based ◽  
Manufacturing Resources ◽  
Traditional Representation ◽  
Part Model ◽  
Selection Of

In cloud manufacturing, resources are encapsulated into manufacturing services to be provided in the manufacturing cloud. Resources representation is the basis for resources encapsulation. However, traditional representation methods to manufacturing resources mainly focus on the static description and/or current status of equipment. Research in product-oriented representation to manufacturing capabilities is limited. As a result, the evaluation to resources in the manufacturing cloud is indirect which will complicate the decision making in service determination. This paper presents a feature based method for manufacturing resources representation. Machining features will be first extracted from the part model based on a predefined feature category. Then capabilities of resources linked by the manufacturing cloud to machine the part will be generated by computing the capabilities to machine the features based on a knowledge base composed of the rules to define resource capabilities. With this method, capabilities of manufacturing resources will be associated with certain product and the selection of service from the manufacturing cloud will be greatly facilitated.

A Vision of Cloud Manufacturing Service Paradigm for Group Manufacturing Companies: A Tendency of Manufacturing Resources Sharing

2013 ◽  
Vol 834-836 ◽  
pp. 1776-1779
Author(s):  
Jing Tao Zhou
Keyword(s):  
Resource Sharing ◽  
Cloud Manufacturing ◽  
Point Of View ◽  
Enterprise Group ◽  
Centralized Control ◽  
Manufacturing Companies ◽  
Manufacturing Enterprise ◽  
Key Factor ◽  
Manufacturing Resources ◽  
Resources Sharing

Manufacturing enterprise group possesses the greatest wealth of resources and knowledge for sustainable product and business development. These resources and knowledge have gradually become the key factor of core competitiveness and product innovation for manufacturing enterprise group. However, the resources inenterprise group are usually distributed in different subsidiary companies,which means they can’t be centralized used and can’t be made the most use of,constraining the competition and development of enterprise. It bring soutstanding contradiction problems between the demand and resources sharing. By the comparison of different resource sharing and coordination schemas of current advanced manufacturing paradigms, and the analyzing of the resource requirements and tendency of the sharing and centralized control of resources in manufacturing enterprise group from the develop point of view, a new cloud manufacturing service schema vision for manufacturing enterprise group is proposed based onthe Cloud Manufacturing idea to strengthen manufacturing enterprise group’s management and control power, enhance service capabilities of its resources. As same as the cloud manufacturing idea, the schema promises elasticity, flexibility and adaptability through the on-demand provisioning of manufacturing resources as a utility.

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