A review of the application of grid technology in manufacturing

Tao, Fei; Zhang, Linlin; Nee, A. Y. C.

doi:10.1080/00207541003801234

Cited by 76 publications

(30 citation statements)

References 75 publications

(101 reference statements)

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“…The execution time vector is generated in random way and stored in ''.txt'' files for uniformly testing. The reason for choosing this kind of scheduling problem is that, it is directly equivalent to resource service composition optimal selection problems in some specific environments [4][5][6][7][8], and both of them exist in various kinds of areas and are widely researched.…”

Section: Case Study Of Dc-ioamentioning

confidence: 99%

Dynamic Configuration of Intelligent Optimization Algorithms

Tao

Laili

Zhang

2014

Springer Series in Advanced Manufacturing

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Since genetic algorithm (GA) presented decades ago, large amount of intelligent optimization algorithms and their improvements and mixtures have been putting forward one after another. However, little works have been done to extend their applications and verify their competence in different problems. For each specific complex problem, people always take a long time to find appropriate intelligent optimization algorithm and develop improvements. To overcome these shortcomings, new dynamic configuration methods for intelligent optimization algorithms (DC-IOA) [1] is presented in this paper on the basis of the requirements of three kinds of algorithm users. It separates the optimization problems and intelligent optimization algorithms, modularizes each step of algorithms and extracts their core operators. Based on the coarse-grained operator modules, three-layer dynamical configurations, i.e. parameter-based configuration, operator-based configuration and algorithm-based configuration, are fully exploited and implemented. Under these methods, dozens of hybrid and improved intelligent optimization algorithms can be easily produced in a few minutes just based on several configurable operator modules. Also, problem-oriented customizations in configurations can further extend the application range and advance the efficiency of the existing operators enormously. Experiments based on the established configuration platform verify the new configuration ways of applying and improving intelligent optimization algorithm for both numerical and combinatorial optimization problems in industries on aspects of flexibility, robustness, and reusability. Concept and Mainframe of DC-IOAIn this section, we propose the mainframe, process and implementation of DC-IOA [1].As we know, researchers have already developed many algorithm libraries for different use. HeuristicLab is an integrated platform for evolutionary algorithm, and EvA2 is a lib for general optimal algorithms.

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Section: Case Study Of Dc-ioamentioning

confidence: 99%

Dynamic Configuration of Intelligent Optimization Algorithms

Tao

Laili

Zhang

2014

Springer Series in Advanced Manufacturing

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“…Mainly companies will benefit from cloud manufacturing, competitiveness usually often relies on their personal abilities and sources [45]. Lacking resources, big investments often embarrass their capacity to grow manufacturing responsibilities, e.g.…”

Section: The Advantages Of Cloud Manufacturingmentioning

confidence: 99%

A state-of-the-art study of cloud manufacturing

Hatema¹,

Yusof²,

Kadir³

et al. 2018

IJET

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There is a considerable industrial standard transfer. This will drive to the adaptable usage of various globally shared, emerging within the manufacturing field by Combining advanced manufacturing models such as the Internet of things, cloud computing, service-oriented technologies, big data, and recently Cloud Manufacturing. Cloud manufacturing a program is a combined program that empowers manufacturers to distribute sources contribute manufacturing services and including supports compatible cooperation. Economically significantources, such as the manufacture of software tools, importance, knowledge, and manufacturing capacity, and material, then become available to supposed users on a global basis, the principal benefits and difficulties of achieving cloud manufacturing are analyzed. the key New technologies for manufacturing model, is cloud manufacturing, cloud manufacturing aims to achieve full participation, free of charge, And easy for utilization of various sources and manufacturing abilities in the form of manufacturing setting. This paper contributes an overview of the cloud manufacturing.

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“…The advantages of the network learning platform are to improve the quality and effect of offline learning, and to transmit and share the learning resources efficiently. Moreover, all course content can be displayed through the rich multimedia functions [3] on the network learning platform abundantly and flexibly, so that students can participate in learning in different forms and with different methods to improve their interest and understanding in learning.…”

Section: Introductionmentioning

confidence: 99%

Construction of the Network Learning Platform for the Course Building Space Transformation based on Grid

Chen

2018

Int. J. Emerg. Technol. Learn.

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Abstract-It is a development trend to build a network learning platform for the current university course teaching, but universities or colleges can't share the learning information with each other effectively. Meanwhile, the whole screen synchronous display will consume wireless network mobile data. This network learning platform can combine the grid with the network synchronization technology to synchronize the information displayed on the multimedia equipment with the learners' computers. Besides, it can share the network instructional resources. A new teaching technology combining the course synchronous system with the network learning platform proposed in this article with the grid, the network teaching system and the synchronization technology of network learning platform as the theoretical basis is composed of 2 parts: the learning module (including the course learning function and the assignment uploading and correcting function) and the synchronous display module. We tested the practical effect of the new network learning platform and found that this platform could broaden the learning space of the architecture specialty, facilitate the sharing of learning resources, improve the learning quality effectively, and complement the implementation of traditional learning methods beneficially. Keywords-Grid, network learning platform, building space transformation IntroductionThe birth of the computer has improved the computing function and the computational efficiency, and the development of computer technology lies in the information exchange, which is also the root cause for the generation of internet. If the information cannot be exchanged, each individual computer cannot be connected with each other, which is also the basis for the information isolated island theory [1]. Therefore, the generation of internet is to eliminate the information isolated island generated by the individual computer, to share the information resources, and to unify the information exchange at both software and hardware levels. The existence of internet has proved the necessity of information sharing very well. Different information can be shared and disseminated effectively through internet.

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A review of the application of grid technology in manufacturing

Cited by 76 publications

References 75 publications

Dynamic Configuration of Intelligent Optimization Algorithms

Dynamic Configuration of Intelligent Optimization Algorithms

A state-of-the-art study of cloud manufacturing

Construction of the Network Learning Platform for the Course Building Space Transformation based on Grid

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