An OSGi-Based Adaptation Access of Machine Tools in the Cloud Manufacturing Environment

2021 ◽  
Author(s):  
Xiaobin Li ◽  
Chao Yin
Keyword(s):  
Information Acquisition ◽  
Machine Tools ◽  
Universal Access ◽  
Cloud Manufacturing ◽  
Manufacturing Environment ◽  
Access Method ◽  
Manufacturing Enterprises ◽  
Cloud Application ◽  
Key Enabling Technologies ◽  
Manufacturing Mode

Abstract Machine tools (MTs) are the core manufacturing resources for discrete manufacturing enterprises. In the cloud manufacturing environment, MTs are massive, heterogeneous, widely dispersed and highly autonomous, which makes it difficult for cloud manufacturing mode to be deeply applied to support the networked collaboration operation among manufacturing enterprises. Realizing universal access and cloud application of various MTs is an essential prerequisite to solve the above problem. In this paper, an OSGi-based adaptation access method of MTs is proposed. First, the MTs information description model in the cloud manufacturing environment is built. Then, an OSGi-based adaptation access framework of MTs is constructed, and key enabling technologies, including machine tool information acquisition and processing, Bundle and Subsystem construction, are studied. Finally, an application case is conducted to verify the effectiveness and feasibility of the proposed method.

Research on the Selection Problem of Machine Tools in Cloud Manufacturing Environment

2014 ◽  
Vol 800-801 ◽  
pp. 649-653 ◽  
Author(s):  
Shu Qi Wang ◽  
Yun Xia Jiang ◽  
Min Li Zheng ◽  
Dong Nan Sun ◽  
Xiao Liang Cheng
Keyword(s):  
Genetic Algorithms ◽  
Machine Tools ◽  
Selection Process ◽  
Cloud Manufacturing ◽  
Optimal Selection ◽  
Cloud Environment ◽  
Manufacturing Environment ◽  
On Demand ◽  
Matching Process ◽  
Multi Level

This paper proposes a method to choose machine resources in order to realize the on-demand use of machine resources in cloud manufacturing environment. A convergence mode of the machine resources is described and the selection process is given. A multi-level matching process of machine tools is proposed. Different matching methods are designed for different parameter types of machining tasks and machine resources, and then machine resources are screened according to the requirements of machining tasks to form the machine resources candidate sets. Then a multi-objective optimal selection model of machine resources is constructed, regarding minimization of costs and time and maximization of service quality and reputation as the target, which is solved by using genetic algorithms. Finally, the algorithm is analyzed and validated with an example, and a kind of solution thinking and method is provided to select machine tools in manufacturing cloud environment.

scholarly journals A Hierarchical Structure of Service-Oriented Manufacturing Mode

2011 ◽  
Vol 1 ◽  
pp. 145-149
Author(s):  
Ming Shun Yang ◽  
Xin Qin Gao ◽  
Yong Liu ◽  
Yan Li
Keyword(s):  
Conceptual Model ◽  
Hierarchical Structure ◽  
Hierarchical Architecture ◽  
Manufacturing Environment ◽  
Manufacturing Enterprises ◽  
Key Technologies ◽  
Service Oriented ◽  
Manufacturing Mode

With fiercer competition and more complex manufacturing environment, as a new manufacturing mode, service-oriented manufacture integrating manufacturing and service is used to mine new value source for manufacturing enterprises. The characteristics of the new manufacturing mode are analyzed, then a conceptual mode of the service-oriented manufacturing is concluded, and the features of the conceptual model are summarized from three different stages of the upstream, midstream and downstream. Based on these, a hierarchical architecture of service-oriented manufacturing mode is presented, and the different layers are described, which will provide good guideline to study the key technologies of service-oriented manufacturing.

Trust Model Based on Feedback Evaluation in Cloud Manufacturing Environment

2011 ◽  
Vol 308-310 ◽  
pp. 1740-1745 ◽  
Author(s):  
Xiao Lan Xie ◽  
Liang Liu ◽  
Ying Zhong Cao
Keyword(s):  
Cloud Manufacturing ◽  
Trust Model ◽  
Human Society ◽  
Manufacturing Environment ◽  
Trust Mechanism ◽  
Model Based ◽  
Service Behavior ◽  
Relationship Of ◽  
Dynamic Adaptability ◽  
Feedback Evaluation

Aiming at the existing trust issues under manufacturing environment. This paper proposes a trust model based on feedback evaluation, TMBFCM, from the characteristics of human of trust relationship of human society. The model proposed a set of evaluation indicators of cloud manufacturing services properties, introduced the dynamic trust mechanism for attenuation by time,established the service which cloud manufacturing services providers provided and the feedback evaluation and incentive mechanism given by the user of cloud manufacturing service, improved the dynamic adaptability of the model. The results show that, compared with the existing trust model, the evaluation results are closer to the true service behavior of cloud manufacturing services provider, it can resist all kinds of malicious attacks acts effectively, demonstrated good robustness and recognition.

Intelligente Arbeitsvorbereitung in der Cloud/Smarter operations planning and scheduling in the cloud - Cloud application reduces setup and non-productive times by the use of virtual machine tools

2016 ◽  
Vol 106 (01-02) ◽  
pp. 77-82
Author(s):  
G. Rehage ◽  
F. Isenberg ◽  
R. Reisch ◽  
J. Weber ◽  
B. Jurke ◽  
...  
Keyword(s):  
Virtual Machine ◽  
Machine Tools ◽  
Distributed Simulation ◽  
Cloud Service ◽  
Planning And Scheduling ◽  
Operations Planning ◽  
Manufacturing Operations ◽  
Cloud Application ◽  
Cognitive Information ◽  
Selection Of

Auf dem Weg zu Industrie 4.0 wird die Arbeitsvorbereitung zunehmend von kognitiver Informationstechnik unterstützt. Der Beitrag präsentiert die bisherigen Ergebnisse des Forschungsprojekts „Intelligente Arbeitsvorbereitung auf Basis virtueller Werkzeugmaschinen“. Projektziel ist eine Cloud-Dienstleistungsplattform zur Reduzierung der Rüst- und Nebenzeiten durch eine intelligente Planung. Hierzu zählen unter anderem die Auswahl und Validierung alternativer Maschinen sowie die automatische Optimierung der Einrichtungsparameter durch verteilte Simulationen.   On the way to industry 4.0, the operations planning and scheduling will be aided by cognitive information systems. This contribution presents the previous findings of a research project called “Smart operations planning and scheduling on the basis of virtual machine tools” (translated from German). The aim of the project is the development of a cloud service for the smart planning of manufacturing operations; that will reduce the setup and non-productive times of machine tools. This is achieved by the automatic selection of alternative CNC machines, as well as the optimization of setup parameters via distributed simulation.

Conceptual Model and Operational Framework of Service-Oriented Manufacturing

2011 ◽  
Vol 179-180 ◽  
pp. 1177-1182 ◽  
Author(s):  
Xiao Qing Wu ◽  
Ming Shun Yang ◽  
Xin Qin Gao ◽  
Li Ba
Keyword(s):  
Conceptual Model ◽  
Manufacturing Industry ◽  
Producer Services ◽  
Operating Characteristics ◽  
Product Service System ◽  
Manufacturing Enterprises ◽  
Product Service ◽  
Service Oriented ◽  
Traditional Manufacturing ◽  
Manufacturing Mode

With the fiercer competition and more complex environment of manufacturing industry, the service-oriented manufacturing mode integrating manufacture and service has become an inevitable trend. Together with the producer services and product-service system, the development process of service-oriented manufacturing mode was summarized. Compared with the traditional manufacturing mode, a conceptual model of service-oriented manufacturing was proposed. Furthermore, the operational framework of service-oriented manufacturing mode was established based on its operating characteristics. The research paper could provide the manufacturing enterprises with some foundation for implementing the service-oriented manufacturing mode.

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