scholarly journals Research on Discrete Dynamic Forecasting Model of Government Human Resources

2020 ◽  
Vol 214 ◽  
pp. 02011
Author(s):  
Qin Li
Keyword(s):  
Complex System ◽  
Human Resources ◽  
Dynamic System ◽  
Weighted Average ◽  
System Model ◽  
Combination Method ◽  
Grey System ◽  
Discrete Dynamic ◽  
Discrete Dynamic System ◽  
Dynamic System Model

For the evolution of complex system, especially the unbalanced complex system, dynamic is its universal attribute. In this paper, by introducing the discrete dynamic system model in complex system research, a method of establishing the discrete dynamic system model of government human resources system is proposed from the vertical level. In this study, human resources were forecasted by the method of manpower/population ratio, linear regression and grey system, and the total number of health human resources in A city from 2018 to 2022 was forecasted by weighted average combination method. The results show that we should make great efforts to innovate the training mode of health personnel, improve the enthusiasm of staff, and reasonably control the expansion of hospitals.

scholarly journals MODEL DINAMIS SISTEM KETERSEDIAAN DAGING SAPI NASIONAL

2011 ◽  
Vol 12 (1) ◽  
pp. 128 ◽  
Author(s):  
Harmini Harmini ◽  
Ratna Winandi Asmarantaka ◽  
Juniar Atmakusuma
Keyword(s):  
Computer Program ◽  
Dynamic System ◽  
Artificial Insemination ◽  
System Model ◽  
Percentage Error ◽  
National Program ◽  
Cross Breeding ◽  
Self Sufficiency ◽  
Innovative Solution ◽  
Dynamic System Model

The purpose of this paper is to assess whether the national program on beef self sufficiency could be achieved at 2014. A dynamic system model with Vensim computer program is applied. The model validated by Mean Absolute Percentage Error. The results shows high accuracies of the model. The assessment show that, first, the beef self sufficiency would not be achieved at 2014 if the program are treated and running as usual (Scenario I). Second, the beef self sufficiency would be achieved at 2015 if government increase the cow population by reducing the slaughter of local cows and expanding the cross breeding program through artificial insemination (Scenario II). Third, the beef self sufficiency would not be achieved at 2014 if the actual beef consumption are higher than the supply that produce through Scenario II (Scenario III). Another innovative solution for increasing local cow population is needed.

scholarly journals FAULT DETECTION IN DISCRETE DYNAMIC SYSTEMS WITH UNCERTAINTY BASED ON INTERVAL OPTIMIZATION

2011 ◽  
Vol 16 (4) ◽  
pp. 549-557 ◽  
Author(s):  
Wei Li ◽  
Xiaoli Tian
Keyword(s):  
Fault Detection ◽  
Dynamic System ◽  
Dynamic Systems ◽  
Optimization Model ◽  
Uncertain Parameters ◽  
Interval Optimization ◽  
Numerical Examples ◽  
Discrete Dynamic ◽  
Discrete Dynamic System ◽  
Discrete Dynamic Systems

The imprecision and the uncertainty of many systems can be expressed with interval models. This paper presents a method for fault detection in uncertain discrete dynamic systems. First, the discrete dynamic system with uncertain parameters is formulated as an interval optimization model. In this model, we also assume that there are some errors of observation values of the inputs/outputs. Then, M. Hladík's newly proposed algorithm is exploited for this model. Some numerical examples are also included to illustrate the method efficiency.

A dynamic system model of testosterone transport and metabolism in normal man

1974 ◽  
Vol 2 (3) ◽  
pp. 307-320 ◽  
Author(s):  
Marlene T. Mayekawa ◽  
Joseph J. DiStefano ◽  
Ronald S. Swerdloff
Keyword(s):  
Dynamic System ◽  
System Model ◽  
Normal Man ◽  
Dynamic System Model
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