Mimimizing the cost of using tractors at agricultural operations
1
Bashkir State Agrarian University
Submission date: 2020-02-16
Final revision date: 2020-05-06
Acceptance date: 2020-05-12
Online publication date: 2020-05-13
Publication date: 2020-05-13
Diagnostyka 2020;21(2):41-49
KEYWORDS
TOPICS
ABSTRACT
The paper shows the economic efficiency of the optimal use of technology in crop production. A totally new model has been developed ,that allows planning the operation of each tractor individually, as well as an integer programming method with Boolean variables based on the formation of a lexicographic sequence. The paper shows the calculation according to the optimization criterion of the minimum duration of the work. The developed method of integer programming is original because it allows to solve problems typical of agricultural planning. For this, the authors derived a formula for the formation of any member of the lexicographic sequence and developed the AgroMaster + computer program, which also carries out the search for the optimal solution using the method of truncated exhaustive search. Due to optimal planning, the total duration of agricultural operations is reduced by 1.7 times compared to their actual duration. The cost of additional products received per 1 moto-hour is 7.3 dollars. The testing the results of studies in one of the farms of the Republic of Bashkortostan showed the possibility of practical application of the above developments for optimal planning of tractors in any agricultural enterprises.
REFERENCES (20)
1.
Ermak S, Pechenkina T. Group pressure. [Internet]. Moscow: Expert online. Special report. 2019; 44(1140), cited 2019 Oct. 28. Available from: https://expert.ru/expert/2019/....
2.
Balas E. Discrete Programming by the Filter Method. Operations Research 1967; 15(5): 915-957.
3.
Zhao WJ. Comparison of Technical and Economic Characteristics of Various Transportation Modes, Cooperative Economy and Technology 2017; 3: 38-39.
4.
Wu Y, Weise T, Chiong R. Local Search for the Traveling Salesman Problem: A Comparative Study. Proceedings of the 14th IEEE Int1 Conference on Cognitive Informatics & Cognitive Computing. Beijing, China; 2015, 213-220.
5.
Lin B, Sun X, Salous S. Solving Travelling Salesman Problem with an Improved Hybrid Genetic Algorithm. Journal of Computer and Communications. 2016; 4: 98-106. https://doi.org/10.4236/jcc.20....
6.
Recht P. A Dynamic Programming Approach for the Max-Min Cycle Packing Problem in Even Graphs. Open Journal of Discrete Mathematics 2016; 6: 340-350. https://doi.org/10.4236/ojdm.2....
7.
Parwanto N, Morohosi H, Oyama T. Applying Network Flow Optimization Techniques to Improve Relief Goods Transport Strategies under Emergency Situation. American Journal of Operations Research, 2015;5:95-111. https://doi.org/10.4236/ajor.2....
8.
Luo Z. Path Selection of Multimodal Transport Based on Multi-Objective Mixed Integer, Programming. Journal of Transportation Technologies 2019; 9: 462-473. https://doi.org/10.4236/jtts.2....
9.
Wu C, Zhou L, Qiao P, Wang J. Addressing Uncertainty in Temporal and Spatial Scheduling for Farm Machinery Operation. Positioning, Scientific research an academic publisher 2016; 7: 32-40. https://doi.org/10.4236/pos.20....
10.
Allate B. Terminal Location Models for Intermodal Transport Network Optimization. Open Journal of Applied Sciences 2019; 9: 307-315. https://doi.org/10.4236/ojapps....
11.
Shevtsov V, Lavrov A, Izmailov A, Lobachevskii Y. Formation of quantitative and age structure of tractor park in the conditions of limitation of resources of agricultural production. Technical Papers; 2015. https://doi.org/10.4271/2015-2....
12.
Jourquin B. Estimating Elasticities for Freight Transport Using a Network Model: An Applied Methodological Framework. Journal of Transportation Technologies 2019; 9: 1-13. https://doi.org/10.4236/jtts.2....
13.
Rüttimann B. Discourse about Linear Programming and Lean Manufacturing: Two Different Approaches with a Similar. Converging Rational. Journal of Service Science and Management 2015; 8: 85-91. https://doi.org/10.4236/jssm.2....
14.
Tanaka Y. Using the Simplex Method for a Type of Allocation Problems. American Journal of Computational Mathematics 2019; 9: 25-31. https://doi.org/10.4236/ajcm.2....
15.
Belahcene S, Marthon P, Aidene M. The Pivot Adaptive Method for Solving Linear Programming Problems. American Journal of Operations Research 2018;8:92-111. https://doi.org/10.4236/ajor.2....
16.
Bibi M, Bentobache M. A Hybrid Direction Algorithm for Solving Linear Programs. International Journal of Computer Mathematics 2015; 92:201-216.
17.
Wan J, Wei S. Research on Route Selection of Multiobjective Multimodal Transport Based on Hybrid Algorithm. Journal of Tianjin University (Natural Science and Engineering Technology Edition), 2019; 52: 285-292.
18.
Zainagabdinov RR. The Problems of Economic and Mathematical Models Using in a Machinery and Tractor Fleet Work Planning Proceedings of the 2-nd regional inter-university scientific and practical conference of young researchers and specialists with presentation in foreign language. Ufa, Bashkiriya, Russia; 2001, 25-26.
19.
Zainagabdinov RR. Improving the efficiency of the use of machine and tractor units by improving their distribution by type of work, taking into account current operating conditions. Diss. ... cand. tech. Science.-St. Petersburg, 2004.
20.
Plaksin AM. Substantiation of the frequency of control and tolerance for engine power reduction during tractor operation in agriculture. Unpublished PhD theses. Chelyabinsk, Russia; 1975.
| eISSN: | 2449-5220 |
„Podniesienie poziomu naukowego i poziomu umiędzynarodowienia czasopisma Diagnostyka oraz upowszechniania informacji o wynikach badań lub prac rozwojowych poprzez udział uznanych zagranicznych recenzentów w ocenie publikacji - zadanie finansowane w ramach umowy 745/P-DUN/2017. ze środków Ministra Nauki i Szkolnictwa Wyższego przeznaczonych na działalność upowszechniającą naukę”
© 2006-2024 Journal hosting platform by Bentus
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
