scholarly journals Methodology for ensuring sustainable automatic control of the manufacturing process of manufacturing electronics using the fuzzy logic apparatus

2019 ◽  
Vol 1399 ◽  
pp. 022015
Author(s):  
A A Petrushevskaya ◽  
N A Aleshkin
2015 ◽  
Vol 740 ◽  
pp. 265-268
Author(s):  
Yang Hua Gao ◽  
Hai Liang Lu

In this paper, the author does a study on the China tobacco Zhejiang Industrial co., LTD(ZJ) through building the IDEF0 & IDEF3 models, which can well present ZJ’s logistics process and function. By analyzing the model, the author find the bottleneck link and problems which will affects the efficiency of tobacco manufacturing process, and put forward the author's suggestions according to the actual situation.


2006 ◽  
Vol 18 (06) ◽  
pp. 284-295 ◽  
Author(s):  
CHEN-TSE CHUANG ◽  
SHOU-ZEN FAN ◽  
JIANN-SHING SHIEH

In this paper, the muscle relaxant agent (i.e., cisatracurium) and three clinical control methods (i.e., 13 patients undergoing intermitted bolus control, 15 patients undergoing intensive manual control and 15 patients) undergoing automatic fuzzy logic control (FLC), were used for maintaining depth of muscle relaxation (DOM) during surgery. Cisatracurium, a muscle relaxation drug with long-term effect, low metabolic loading, but long delay time, is widely used in operating rooms and ICUs. Meanwhile, the rules for the FLC were developed from the experimental experience of intensive manual control after learning from 15 patient trials. According to experts' experimental experience, our FLC inputs were chosen from T1% error and trend of T1% which differ from other previous studies on eliminating the effect of time delay from cisatracurium. In individual clinical experimental results, the mean(SD) of the mean T1% error in 13 patients for intermitted bolus control, in 15 patients for intensive manual control, and in 15 patients for automatic control was 8.76(1.46), 1.65(1.67), and 0.48(1.43), respectively. The t test results show that automatic control is not significantly different from intensive manual control. The results show that a simple fuzzy logic controller derived from anesthetists ' clinical trials can provide good accuracy without being affected by the pharmacological time delay problem.


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