Simulation and optimization of manufacturing enterprise warehousing system based on Witness

2015 ◽  
pp. 313-318
Author(s):  
DaiJun Pi ◽  
QingSong Li
Keyword(s):  
Manufacturing Enterprise ◽  
Simulation And Optimization

The Simulation and Optimization of Job-Shop Equipment Based on JACK

2014 ◽  
Vol 519-520 ◽  
pp. 1416-1420
Author(s):  
Jian Yuan Feng
Keyword(s):  
Fatigue Strength ◽  
Human Factors ◽  
Human Factor ◽  
Job Shop ◽  
Simulation Software ◽  
Operating Efficiency ◽  
Simulation Experiments ◽  
Manufacturing Enterprise ◽  
Simulation And Optimization ◽  
Virtual Models

By using human factor principles and MOD method, it analyzed the existing processes of a manufacturing enterprise to find some defects in existing logistics equipments, and improved the program so that workers could complete the corresponding operation with more reasonable action , thereby reducing workers’ fatigue strength and improving operating efficiency. It also built virtual models and designed simulation experiments to obtain data related to human factors and evaluate the improving program based on JACK simulation software.

Numerical Simulation and Optimization of Heat Transfer in Reciprocating Flows

2009 ◽  
Vol 16 (3) ◽  
pp. 287-299 ◽  
Author(s):  
Hossein Shokouhmand ◽  
Ali Mosahebi ◽  
Behrouz Karami Halashi
Keyword(s):  
Heat Transfer ◽  
Numerical Simulation ◽  
Simulation And Optimization

PREDICTIVE SIMULATION AND OPTIMIZATION ORIENTED MODELING FOR THE EXTRACTION OF METAL IONS FROM SOLUTIONS INTO A NOVEL BIS-SCHIFF BASE

2019 ◽  
pp. 1-8
Author(s):  
F. S. Nworie ◽  
S. O. Ngele ◽  
J. C. Onah
Keyword(s):  
Metal Ions ◽  
Metal Concentration ◽  
Acid Concentration ◽  
Aqueous Media ◽  
Industrial Effluents ◽  
Ligand Concentration ◽  
Simulation And Optimization ◽  
Chemometric Technique ◽  
Model Equations ◽  
Level Of Significance

Metal ions present in waste samples, industrial effluents, acid mines and other aqueous media constitute a serious challenge in different human activities. Solvent extraction a technique for preconcentration, separation and identification of trace amount of metal ions coupled with multivariate chemometric technique was used for the determination of Fe(II) and Cr(III) from solutions in the presence of bis(salicylidene)ethylenediamine (SALEN). The influence of main extraction variables affecting the extraction efficiency was simultaneously studied and regression model equations illustrating the relationship between variables predicted. The extraction parameters (time of extraction, acid concentration, ligand concentration, temperature and metal concentration) were optimized using experimental designs with the contributions of the various parameters to extraction of the metal ions bound to the complexone evaluated using SPSS19.0 software. The statistically determined simulated models for the parameters were R2 = 0.946, 0.727, 0.793, 0.53, 0.53, 1.000 and F- values of 70.400, 13. 285, 15.348, 4.646 and 2.569×105 respectively for time of extraction, acid concentration, ligand concentration, temperature and metal concentration for Cr (III). For Fe (II), R2 = 0.243, 0.371, 0.519, 0.446, 1.000 and F-values of 0.964, 2.953, 4.310, 3.216 and 2.516×105 for time of extraction, acid concentration, ligand concentration, temperature and metal concentration respectively. The level of significance of the models as predicted was both lower than 5% making it feasible, efficient, reproducible and accurate. This means that metal ions at the conditions stated could be removed from waste samples, industrial effluents, acid mines and other aqueous media with extension in industrial scale application.

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