[Interpretation of Farm Efficiency Factors]: Discussion

C. R. Arnold

doi:10.2307/1230191

Measuring Dairy Farm Efficiency in the Republic of Kazakhstan

Journal of Environmental Management and Tourism ◽

10.14505//jemt.v9.5(29).08 ◽

2018 ◽

Vol 9 (5) ◽

pp. 967

Author(s):

Aida BALKIBAYEVA ◽

Zein AIDYNOV ◽

Ayagoz ORAZBAYEVA ◽

Yuliya SHEIKO ◽

Dina AIKUPESHEVA

Keyword(s):

Milk Production ◽

Dairy Farm ◽

Dairy Farms ◽

National Committee ◽

Reference Distribution ◽

A Value ◽

Efficiency Factors ◽

Farm Efficiency ◽

The Republic ◽

The Cost

Study was conducted in the area of comparative dairy efficiency and finding the most effective farms that can be used by less effective farms and new dairy farms to increase their outputs and use inputs in more productive ways. We used the data of dairy farms for 2015 provided by National Committee on Statistics of Kazakhstan upon our request to perform this research and applied Data Envelope Analysis (DEA). The closest to the efficiency boundary was the dairy farm with a value of 0.66 (milk production 3 573 tons per year with the following top expenses: feed $400K; depreciation $200K and salary $142.424). Based on super-efficiency factors farm No 3 which produced 762,1 tons of milk per year with the cost closest to min mean was found as the most effective one among others. The least efficient was farm No 1 produced the most amounts of milk but with higher than average expenses. Based on the literature-based review the concept of dairy efficiency was developed, showing the linkage between inputs such as feed, salary, depreciation, energy and others. Further analysis can show the geographic and climatic similarity or the identity of the management system of reference, distribution of feed and tied inefficient pre-regions. Proceeding from this, it is possible to develop and make management decisions that allow inefficient enterprises to become effective companies

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Interpretation of Farm Efficiency Factors

Journal of Farm Economics ◽

10.2307/1230190 ◽

1930 ◽

Vol 12 (3) ◽

pp. 384

Author(s):

J. A. Hopkins

Keyword(s):

Efficiency Factors ◽

Farm Efficiency

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Analyses of Regional Retail Shops’ Efficiency Differences and Efficiency Factors

Productivity Review ◽

10.15843/kpapr.30.1.201603.75 ◽

2016 ◽

Vol 30 (1) ◽

pp. 75-101 ◽

Cited By ~ 2

Author(s):

고경완 ◽

Daecheol Kim

Keyword(s):

Efficiency Factors

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A Flatness Control System Design Based on Actuator Efficiency Factors for Cold Rolling Mill

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.139-141.1889 ◽

2010 ◽

Vol 139-141 ◽

pp. 1889-1893 ◽

Cited By ~ 1

Author(s):

Peng Fei Wang ◽

Dian Hua Zhang ◽

Xu Li ◽

Jia Wei Liu

Keyword(s):

Control System ◽

Rolling Force ◽

Quantitative Description ◽

Learning Model ◽

Feed Forward Control ◽

Flatness Control ◽

Stand Type ◽

Loop Feedback ◽

Efficiency Factors ◽

Self Learning

In order to improve the flatness of cold rolled strips, strategies of closed loop feedback flatness control and rolling force feed forward control were established respectively, based on actuator efficiency factors. As the basis of flatness control system, efficiencies of flatness actuators provide a quantitative description to the law of flatness control. For the purpose of obtaining accurate efficiency factors matrixes of actuators, a self-learning model of actuator efficiency factors was established. The precision of actuator efficiency factors could be improved continuously by correlative measurement flatness data inputs. Meanwhile, the self-learning model of actuator efficiency factors permits the application of this flatness control for all possible types of actuators and every stand type. The developed flatness control system has been applied to a 1250mm single stand 6-H reversible UCM cold mill. Applications show that the flatness control system based on actuator efficiency factors is capable to obtain good flatness.

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