A Study on Operator Allocation Method Considering the Productivity and the Training Effect in Labor-Intensive Manufacturing System

2019 ◽  
Author(s):  
H. Haraguchi
Keyword(s):  
Manufacturing System ◽  
Training Effect ◽  
Allocation Method ◽  
Operator Allocation

A Proposal of Resource Allocation Method Based on Combinatorial Double Auction Technique in Crowdsourced Manufacturing

2020 ◽  
Author(s):  
Daisuke Kokuryo ◽  
Yoshiaki Harada ◽  
Toshiya Kaihara ◽  
Nobutada Fujii
Keyword(s):  
Resource Allocation ◽  
Internet Of Things ◽  
Computational Experiment ◽  
Manufacturing System ◽  
Cloud Service ◽  
Smart Manufacturing ◽  
Double Auction ◽  
Allocation Method ◽  
Production Resources

Abstract With the development of the IoT (Internet of Things), smart manufacturing system with cloud service and computing techniques has gained worldwide attention. Crowdsourced manufacturing system is a production styles that connects among different companies and factories to share the production resources. In this system, it is important to distribute resources appropriately to increase the productivity. In this proceeding, a resource allocation method based on combinatorial double auction technique is proposed. In the computational experiment, a characteristic of the proposed resource allocation method is evaluated.

Spectral analysis of asymmetry training effect for depression

2008 ◽  
Author(s):  
Ji Ha Lee ◽  
Sung Won Choi ◽  
Ji Sun Min ◽  
Eun Ju Jaekal ◽  
Gyhye Sung
Keyword(s):  
Spectral Analysis ◽  
Training Effect
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