scholarly journals A Grid-based Scheduling Method of Manufacturing Resources for Networked Manufacturing

Author(s):  
Juan LI ◽  
Jing ZHANG ◽  
Xin ZHOU ◽  
Xiao-yan DENG
2010 ◽  
Vol 428-429 ◽  
pp. 528-532
Author(s):  
Kai Yin ◽  
Juan Tu ◽  
Xiao Jun Wang

Along with the networked manufacturing technology development and deep research of resources classification, the question of resource management appears prominently. Resources attribute constitution has been analyzed under the network manufacture environment from the resources classification management; the resources attribute and the data exchange form have been proposed under the isomerism environment


Author(s):  
Chunsheng Hu ◽  
Chengdong Xu ◽  
Xiaobo Cao ◽  
Pengfei Zhang

As a new kind of networked manufacturing mode, Cloud Manufacturing needs to construct a large-scale virtual manufacturing resources pool firstly. For a reasonable and effective construction of the virtual manufacturing resources pool, the point of multi-granularity virtualization is proposed. Firstly, by analyzing the process of resources virtualization, the meanings of manufacturing resources, virtualization modeling and virtualization accessing are stated, and the relationships between them are illustrated; secondly, by analyzing the compositionality of resources, two resources categories are deduced; thirdly, the granularity factor, which have serious impacts on the resources-virtualization, resources-matching and resources-scheduling, are discussed; finally, a multi-granularity virtualization method of manufacturing resources is proposed.


2012 ◽  
Vol 430-432 ◽  
pp. 1330-1334 ◽  
Author(s):  
Yan Zhan ◽  
Jian Sha Lu ◽  
Xue Hong Ji

Economic theories of managing resources, traditionally assume that individuals are perfectly rational and thus able to compute the optimal configuration strategy that maximizes their profits. The current paper presents an alternative approach based on bounded rationality and evolutionary mechanisms. It is assumed that network node users face a choice between two resource strategies in real networked manufacturing resources configuration problem (NMRCP). The evolution of the distribution of strategies in the population is modeled through a replicator dynamics equation. The latter captures the idea that strategies yielding above average profits are more demanded than strategies yielding below average profits, so that the first type ends up accounting for a larger part in the population. From a mathematical perspective, the combination of resource and evolutionary processes leads to complex dynamics. The paper presents the existence and stability conditions for each steady-state of the system. A main result of the paper is that under certain conditions both strategies can survive in the long-run.


2011 ◽  
Vol 186 ◽  
pp. 89-93
Author(s):  
Wen Li Peng ◽  
Wen Ni Zhang ◽  
Hai Ming Jin

Agility of physical manufacturing unit is the competitive advantage in the global manufacturing environment. It is believed that the agility can be realized by dynamically optimization deployment of networked manufacturing resources. To solve this problem, logical manufacturing unit (LMU) and logical manufacturing process (LMP) are proposed and defined to decompose and model networked manufacturing task according to the process of complex part. When selecting manufacturing resources for these manufacturing tasks, many factors should be taken into account. However, manufacturing cost, time to market and manufacturing quality are the most important factors. In this paper, networked manufacturing resources pre-deployment is carried out to find candidate manufacturing resources based on manufacturing resources abilities, such as part family, geometric feature, material type, rough type, dimension range, machining method, precision grade and production type. Then, taking transportation time and cost besides manufacturing time, cost and quality into consideration, the objectives and restrictions of manufacturing resources optimization deployment are analyzed, and manufacturing resources optimization deployment problem is considered as a multi-objectives optimization problem.


2010 ◽  
Vol 26-28 ◽  
pp. 710-713
Author(s):  
Fu Qing Zhao ◽  
Ya Hong Yang

The grid resources scheduling problem is one of the key problem in manufacturing grid. After studying on manufacturing grid resource property and requirement on scheduling, the scheduling method based on multi-agent and genetic algorithm is put forward. Contract Net Protocol is adopted to the multi-agent cooperation and negotiation system. The communication and interaction mechanism are guarantee on the JADE and JGAP platform. Simulation result shows that the method is effective to the negotiation and scheduling problem in manufacturing grid.


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