Periodicity.: Special Edition PDATU-2019, May- 2019
e-ISSN......: 2236-269X
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Justification of models of changing project environment for harvesting grain, oilseed and legume crops

Anatolii Тryhuba, Oleh Bashynskyi, Yevhen Medvediev, Serhii Slobodian, Dmytro Skorobogatov

Abstract


An analysis of the condition of implementation of projects in agricultural production is carried out. The disadvantages of existing methods and models of planning of the content and time of execution of works in the projects, which mostly do not take into account the changing components of their project environment, are substantiated. The proposed methodology for justifying the models of a changing project environment for harvesting grain, oilseed and legume crops is based on the analysis of official statistics of agrometeorological stations and involves the implementation of production experiments, which makes it possible to increase the accuracy of the results. It has been established that the dewy periods of time in the projects for the collection of early oilseeds, cereals and legumes are characterized by a probabilistic distribution of the time of occurrence of dew and its duration. The indicated regularity and the established correlation relationship between the occurrence of dew and its duration are the main components of the model. The substantiated model of the pink period of time allows to take into account the changing events of the project environment and to improve the quality of the content management process and the time of performance of the harvesting work. It is established that the deficit of humidity in the air, in which the performance of harvesting is effective, changes over the course of the day by parabolic dependence. Its maximum value depends on the agrometeorologically acceptable duration of the works in the projects of harvesting early oilseeds, grain and legume crops, which is the basis for substantiating the model of the air humidity deficit and taking into account its impact on the implementation of works in these projects. The obtained results of the research are the basis of development of simulation models of projects for the collection of early oilseeds, grain and legume crops to improve the accuracy of determining the use indicators and resource requirements for the implementation of these projects. The obtained models increase the quality of management decision making in the projects of harvesting early oilseeds, grain and legume crops.


Keywords


model; project environment; project; harvesting; grain crops

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References


AKKERMAN, R.; DONK, D. (2009) Analyzing scheduling in the food-processing industry: structure and tasks. Cognition, Technology and Work, v. 11, n. 3, p. 215-226. Available at: . Access: 10 October 2018.

AMORIM, F. R.; SILVEIRA, B. R. F.; SANTOS, E. A.; ABREU, P. H. C.; TOSTES, J. R. (2017) Analysis of the economic viability of a rural tourism enterprise in Brazil: an application of the Monte Carlo Method. Independent Journal of Management & Production. v. 8, n. 4, p. 1365-1380. DOI 10.14807/ijmp.v8i4.662.

ANDERSON, A. (1988) Factors affecting machinery costs in grain production. ASAE paper, n. 88, p. 1-10.

ANDRADE, E. L. (2009) Introdução à Pesquisa Operacional: métodos e modelos para a análise de decisão. 4ª Edição. Rio de Janeiro: LTC – Livros Técnicos e Científicos.

BENDOLY, E.; CROSON, R.; GONCALVES, P.; SCHULTZ, K. (2010) Bodies of knowledge for research in behavioral operations. Production and Operations Management, v. 19, n. 4, p. 434-452. Available at: . Access: 25 October 2018.

BUSHEW, S. (2000) Project Management Leadership, 2 ed. Kiev: Delovaya Ukraina.

BUSHEW, S. (2009) Innovative Projects and Programs Management Guide, t.1, version 1.2. Kiev: Science. World.

CLELAND, D.; IRELAND, L. (2007) Project management handbook. Applying Best Practices across Global Industries. Mc Graw Hill.

FRAME, D. J. (1994) The New Project Management. San Francisco: Jossey-Bass Publishers.

FRANSOO, J. C.; WIERS, V. C. (2006) Action variety of planners: cognitive load and requisite variety. Journal of Operations Management, v. 24, n. 6, p. 813-821. Available at: . Access: 12 October 2018.

HEIZER, J.; RENDER, B. (1996) Production & Operations Management: strategic and tactical decisions. 4th Edition. USA, New Jersey: Prentice Hall.

KERZNER, H. (2003) Project Management: A Systems Approach to Planning, Scheduling, and Controlling. 10thed. Wiley: John Wiley & Sons, Inc.

LERMEN, H. F.; MORAIS, M. F.; MATOS, C.; RÖDER, R.; RÖDER, C. (2016) Optimization of times and costs of project of horizontal laminator production using pert/cpm technical. Independent journal of management & production, v. 7, n. 3. Available: < ttp://www.ijmp.jor.br/index.php/ijmp/article/view/423/534>. Access: 20 October 2018.

PIERRE, N.; ROBILLARD, M.; ROBILLARD P. (2000) Types of collaborative work in software engineering.The Journal of Systems and Software, v. 53, р. 219-224.

ROMANO, L. N. (2003). Modelo de Referência para o Processo de Desenvolvimento de Máquinas Agrícolas. Tese (Doutorado em Engenharia Mecânica). Universidade Federal de Santa Catarina, Florianópolis. Available at: < http://emc6605.ogliari.prof.ufsc.br/uploads/artigos/tese_romano.pdf>. Access: 20 October 2018.

SILVEIRA, F.; MACHADO, F. M.; RUPPENTHAL, J. E.; ROMANO, L. N.; RODRIGUES, V. P.; FARIAS, M. S. (2018) Systematic analysis of reference models in product development: case studies in the agricultural machinery and implementation sector. Independent Journal of Management & Production. v. 9, n. 2, p. 395-423. DOI 10.14807/ijmp.v9i2.754.

SYDORCHUK, O.; LUB, P.; TRYHUBA, A. (2011) Stochastic character of the naturally predicted optimal time of soil-tillage and plant- sowing works in the spring period. Motoryzacja i energetyka rolnictwa, v. 13, Lublin, p. 302-308.

SYDORCHUK, O.; TRYHUBA, A.; PANYURA, Y. A.; et al. (2012) Forecasting the basic events of the internal environment of harvesting early cereals, oilseeds and legumes. Scientific journal LNTU: Computer-integrated technologies: education, science, production, n. 10, p. 232-237.

SYDORCHUK, O. V.; TRYHUBA, A. M.; PANYURA, Y. A. (2010) Peculiarities of situational management of the content and time of execution of works in integrated projects of agrarian productionю. Eastern-European Journal of Enterprise Technologies: Control processes, v. 43, n. 1/2, p. 46-48. Available at:

< http://journals.uran.ua/eejet/article/view/2507/2295>. Access: 26 October 2018.

TRYHUBA, A.; SHOLUDKO, P. (2011) Harmonization of works in integrated milk projects. Eastern-European Journal of Enterprise Technologies: Control processes, v. 49, n. 1/6, p. 13-16.

TRYHUBA, A.; SHOLUDKO, P.; MIHALYUK, M. (2012) Models of events of the agrometeorological component of the projects of chemical protection of plants by spraying. East European Journal of Advanced Technology, v. 11, n. 55, p. 44-47.

TRYHUBA, A.; SHOULDKO, P.; MALANCHUK, O. (2013) Formation of production-technological risk in integrated agricultural production programs. East European Journal of Advanced Technology, v. 10, n. 61, Part 3, p. 203-206.

TRYHUBA, A.; ZACHKO, O.; GRABOVETS, V. (2018) Examining the effect of production conditions at territorial logistic systems of milk harvesting on the parameters of a fleet of specialized road tanks. Eastern-European Journal of Enterprise Technologies: Control processes, v. 95, n. 5/3, p. 59-70.

DOI: 10.15587/1729-4061.2018.142227.

TRYHUBA, A.; RATUSHNY, R.; BASHYNSKY, O. (2018) Identification of firefighting system configuration of rural settlements” Fire and Environmental Safety Engineering. MATEC Web Conf., v. 247 (FESE 2018), p. 1-8.

DOI: https://doi.org/10.1051/matecconf/201824700035

TRYHUBA, A.; TRYHUBA, I.; BOYARCHUK, O. (2018) Identification of configuration of project environment and feed providing of family dairy farms projects. National technology University Journal, n. 1 (1277), p. 64-68. DOI: 10.20998/2413-3000.2018.1277.10




DOI: http://dx.doi.org/10.14807/ijmp.v10i7.922

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Copyright (c) 2019 Anatolii Тryhuba, Oleh Bashynskyi, Yevhen Medvediev, Serhii Slobodian, Dmytro Skorobogatov

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