scholarly journals Long-Term Planning of a Livestock-Crop Farm Under Government Programs

1994 ◽  
Vol 26 (1) ◽  
pp. 275-286
Author(s):  
Pierre-Justin Kouka ◽  
Patricia A. Duffy ◽  
C. Robert Taylor

AbstractOptimal crop and livestock mix was determined for a representative Alabama farm using a dynamic programming model. Results indicate that decisions concerning livestock production are highly influenced by the amount of cotton base available on the farm. In most cases, increasing cotton base results in less cattle production. The triple base provisions of the 1990 Farm Bill, however, may give some cotton farmers an incentive to produce more stocker cattle during the winter months. Research results also indicate that the availability of farm programs can alter the optimal enterprise mix on a farm with no beginning base in cotton.

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
YiHua Zhong ◽  
ShiMing Luo ◽  
Min Bao ◽  
XiaoDie Lv

When designing the underground logistics system, it is necessary to consider the uncertainty of logistics nodes, high cost, and high risk. This paper employed the theories of uncertain graph and dynamic programming to solve the network planning problem of underground logistics system. Firstly, we proposed the concepts of uncertainty measure matrix and vertices structure uncertainty graph by using uncertainty measure and uncertainty graph. Secondly, vertices structure uncertainty graph of the underground logistics system was constructed based on our proposed vertices structure uncertainty graph and the uncertainty of logistics nodes. Thirdly, the dynamic programming model of the underground logistics system was established, and its solution algorithm was also designed by improving simulated annealing. Finally, the correctness and feasibility of the method was validated by using a numerical example of the underground logistics system in Xianlin district, Nanjing City in China.


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