Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system

Tieppo, Rafael César; Romanelli, Thiago Libório; Milan, Marcos; Sørensen, Claus Aage Grøn; Bochtis, Dionysis

doi:10.1016/j.compag.2018.11.032

Cited by 21 publications

(7 citation statements)

References 39 publications

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“…Thus, composing and solving of the model examples is one of the most important stages for development and implementation of the economic and mathematical models. (11)(12)(13)(14)(15)(16)(17)(18) The work presents setting and model example for the problem for selection of the investment sources and objects. The basic provisions of the economic and mathematical model are given bellow.…”

Section: Methodsmentioning

confidence: 99%

Mathematical modeling in economics for selection of optimum investment solution

Alukhanyan

Panfilova

2021

E3S Web Conf.

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This work is devoted to development of economic and mathematical models for selection of the optimum investment solution. Moreover, it states the basis for development of model examples and correction of the model considering the results obtained in the examples. In the work the problem is set for selection of the investment sources and objects, which is limited to the linear programming problem. The controlled variable and basic limitations simulating real credit and monetary relations are distinguished in the provided model. The discounted profit obtained from implementation of the optimum investment portfolio is considered as a target function. The economic and mathematical model presented in the article allows finding the optimum investment solution within the limits of the credit and monetary relations taking place both at the micro- and macroeconomic level.

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Section: Methodsmentioning

confidence: 99%

Mathematical modeling in economics for selection of optimum investment solution

Alukhanyan

Panfilova

2021

E3S Web Conf.

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“…All source (input) information for the model can be divided into two groups of data: data on the fleet of machines and data on the technological process. [8,[12][13][14] The following managed variables can be distinguished in the model: (6)number of new j-type machines purchased in the m-th year, pcs. ; (6)the number of purchased machines of the j-th type of the new modification used on the i-th operation on the k-th day (agricultural term (6)); 7 (6, )the number of j-machines of age t years, sold to the side in the m-th year at their residual (liquidation) value 8 (6, ); (6, )the number of machines of the j-th type (old modification) of age t years remaining in operation in the m-th year used on the i-th operation on the k-th day.…”

Section: A Dynamic Model Of the Perspective Replacement Of The Mtf (System Approach)mentioning

confidence: 99%

“…Constraints (priori) on managed variables: 6) ≤ ( 6), 2max ( 6) = (6)3, In accordance with (14), for the first and second step (year), the value ( , 6) is equal to ( , 1) = ( ) − 7 ( , 1), ( , 2) = ( − 1) − 7 ( − 1,1) − 7 ( , 2).…”

Section: A Dynamic Model Of the Perspective Replacement Of The Mtf (System Approach)mentioning

confidence: 99%

Modelling the process of technical re-equipment of the MTF with the simultaneous selection of the optimal plan for its operation on the farm

Alukhanyan

Panfilova

2020

E3S Web Conf.

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The article deals with the issues of renovation (renewal) of the agricultural machinery and tractor fleet by developing models for developing an optimal strategy for its technical re-equipment. The optimal service life of machines in operation is considered as the most important prerequisite for the scientific management of such an update. The main criterion for the optimal strategy is the effectiveness of replacing a particular machine with a new one. The relevance of solving this problem is determined by the urgent need to plan the pace of technical re-equipment of the MTF, taking into account the presence of various economic restrictions.

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“…Well-known tillage working bodies do not allow to provide plants with optimal agrophysical conditions for their development in one pass, have a relatively high energy intensity and require a large number of mechanical treatments or the use of chemicals to destroy weeds. Soil cultivation in the cultivation of agricultural crops accounts for 30-40% of the total costs [3,4].…”

Section: Introductionmentioning

confidence: 99%

Justification of the flat shaft profile using variation calculation methods

Syromyatnikov¹,

Semenenko

Dzjasheev

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Using the method of calculus of variations, the task was set to determine the shape of the paw profile of a plane-cutting cultivator with minimal traction resistance. Based on this functional, the Ritz differential equation was compiled, which makes it possible to find the value of the functional by possible linear combinations of selected functions with constant coefficients composed of the first terms of the sequence, as a result of which an expression describing the required profile of the working organ was obtained. The Ritz differential equation made it possible to determine a family of extremals for a given functional: the desired curve belongs to this family and satisfies the boundary conditions of the problem. Using the finite element method, the three-dimensional problem of substantiating the profile of the tillage working body was solved. As the results of experimental studies have shown, a working organ with a reasonable profile has a lower energy consumption by 15-35% compared to traditional ones, while reducing the ridge of the soil surface along the width of the treatment.

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Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system

Cited by 21 publications

References 39 publications

Mathematical modeling in economics for selection of optimum investment solution

Mathematical modeling in economics for selection of optimum investment solution

Modelling the process of technical re-equipment of the MTF with the simultaneous selection of the optimal plan for its operation on the farm

Justification of the flat shaft profile using variation calculation methods

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