Agile manufacturing resource integration based on RIA and service grid

2010 ◽  
Author(s):  
Cai-feng Cao
Keyword(s):  
Agile Manufacturing ◽  
Resource Integration ◽  
Service Grid ◽  
Manufacturing Resource

Manufacturing Resource Ontology Modeling Techniques Based on Carrier

2013 ◽  
Vol 774-776 ◽  
pp. 1382-1385
Author(s):  
Xin Shang ◽  
Jing Liu
Keyword(s):  
Product Development ◽  
Development Time ◽  
Modeling Method ◽  
Resource Integration ◽  
Ontology Modeling ◽  
Modeling Techniques ◽  
Packaging Machine ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Resources Sharing

Aimed at The key problem for manufacturing resource integration and retrieval of the networked manufacturing resources sharing and reuse, by analyzing the characteristics of the enterprise manufacturing resource and ontology,OWL ontology modeling method based on manufacturing resource carrier was proposed,manufacturing resource was integrated and index by modules; so, manufacturing resource was network reused and shared by carrier was evaluated and index, product development time was reduced, competitiveness was enhance. Finally, wrapper module of paper packaging machine as an example to proves the feasibility of the method.

Hierarchical Role-Based Delegation Authorization Execution Model for Service Grid

2009 ◽  
Vol 20 (9) ◽  
pp. 2495-2510 ◽  
Author(s):  
Zhi-Gang CHEN ◽  
Jin-Song GUI ◽  
Ying GUO
Keyword(s):  
Service Grid ◽  
Execution Model ◽  
Role Based

Deep learning and complex network theory based analysis on socialized manufacturing resources utilisations and an application case study

2021 ◽  
pp. 1063293X2110031
Author(s):  
Maolin Yang ◽  
Auwal H Abubakar ◽  
Pingyu Jiang
Keyword(s):  
Deep Learning ◽  
Complex Network ◽  
Network Models ◽  
Neural Network Models ◽  
Complex Network Theory ◽  
New Type ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Resource Characteristics

Social manufacturing is characterized by its capability of utilizing socialized manufacturing resources to achieve value adding. Recently, a new type of social manufacturing pattern emerges and shows potential for core factories to improve their limited manufacturing capabilities by utilizing the resources from outside socialized manufacturing resource communities. However, the core factories need to analyze the resource characteristics of the socialized resource communities before making operation plans, and this is challenging due to the unaffiliated and self-driven characteristics of the resource providers in socialized resource communities. In this paper, a deep learning and complex network based approach is established to address this challenge by using socialized designer community for demonstration. Firstly, convolutional neural network models are trained to identify the design resource characteristics of each socialized designer in designer community according to the interaction texts posted by the socialized designer on internet platforms. During the process, an iterative dataset labelling method is established to reduce the time cost for training set labelling. Secondly, complex networks are used to model the design resource characteristics of the community according to the resource characteristics of all the socialized designers in the community. Two real communities from RepRap 3D printer project are used as case study.

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