Establishing patterns of change in the indicators of using milk processing shops at a community territory

Authors

DOI:

https://doi.org/10.15587/1729-4061.2019.184508

Keywords:

functioning, shop, milk processing, efficiency, planning, modeling, stochasticity, production conditions

Abstract

An approach has been proposed to the justification of patterns in the changes of indicators related to using milk processing shops at their various parameters at a community territory, taking into account changes in production conditions. The basis of the approach is a series of experimental studies on components of production conditions, taking into consideration their characteristics in each individual community. The study implied modeling of work at processing shops.

It was established that there are two periods of milk processing ‒ intensive one (from day 119 to day 301 within a calendar year) and non-intensive one (from day 1 to day 118 and from day 302 to day 365 within a calendar year) based on forecasting daily volumes of milk supplied for processing from communities' farms over a calendar year. It is necessary to organize operation of shops in two shifts during the intensive period of milk processing, and in one shift during the non-intensive one. It was established that the laws of Weibull distribution describe daily volumes of milk processing. Their statistical characteristics during the intensive and non-intensive periods are: coefficient of variation is 0.65 and 0.62; shape parameter is 1.56 and 1.64, respectively. The confidence interval is within 509...6,995 and 46...634 liters.

We carried out a study to justify regularities of change in the indicators of using milk processing shops at their various parameters at a community territory, taking into account changes in production conditions using an example of production conditions in the Brodivsky region of Lviv oblast (Ukraine). It was found that an increase in the productivity of milk processing shops from 0.5 to 20 t/day leads to the proportional decrease in specific energy consumption from 116 to 10 kW/t, specific water consumption from 10 to 0.3 m3/t and the specific demand (Nu) in human labor from 0 to 0.3 people/t in the production of various types of dairy products.

We studied changing production conditions and identified trends in changes in the parameters of using milk processing shops at community territories. They underlie the determination of cost indicators. The results of this study will be useful for the identification of a configuration of projects to create milk production shops at a community territory

Author Biographies

Anatoliy Tryhuba, Lviv National Agrarian University V. Velykoho str., 1, Dublyany, Ukraine, 80381

Doctor of Technical Sciences, Professor, Head of Department

Department of Information Systems and Technologies

Mykola Rudynets, Lutsk National Technical University Lvivska str., 75, Lutsk, Ukraine, 43018

PhD, Associate Professor

Department of Civil Security

Nataliia Pavlikha, Lesya Ukrainka Eastern European National University Voli ave., 13, Lutsk, Ukraine, 43025

Doctor of Economic Sciences, Professor, Vice-rector

Inna Tryhuba, Lviv National Agrarian University V. Velykoho str., 1, Dublyany, Ukraine, 80381

PhD, Associate Professor

Department of Genetics, Breeding and Plant Protection

Iryna Kytsyuk, Lesya Ukrainka Eastern European National University Voli ave., 13, Lutsk, Ukraine, 43025

PhD, Associate Professor

Department of International Economic Relations and Project Management

Olga Kornelyuk, Lesya Ukrainka Eastern European National University Voli ave., 13, Lutsk, Ukraine, 43025

PhD, Senior Lecturer

Department of International Economic Relations and Project Management

Valentyna Fedorchuk-Moroz, Lutsk National Technical University Lvivska str., 75, Lutsk, Ukraine, 43018

PhD, Associate Professor

Department of Civil Security

Igor Androshchuk, Lutsk National Technical University Lvivska str., 75, Lutsk, Ukraine, 43018

PhD, Associate Professor

Department of Civil Security

Iryna Skorokhod, Lesya Ukrainka Eastern European National University Voli ave., 13, Lutsk, Ukraine, 43025

PhD, Associate Professor

Department of International Economic Relations and Project Management

Dmytro Seleznov, Lutsk National Technical University Lvivska str., 75, Lutsk, Ukraine, 43018

PhD, Senior Lecturer

Department of Industry Engineering and Forestry

References

  1. Tryhuba, A., Boyarchuk, V., Tryhuba, I., Boyarchuk, O., Ftoma, O. (2019). Evaluation of Risk Value of Investors of Projects for the Creation of Crop Protection of Family Dairy Farms. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 67 (5), 1357–1367. doi: https://doi.org/10.11118/actaun201967051357
  2. Aleksejevs, R., Guseinovs, R., Medvedev, A. N., Guseynov, S. E. (2016). Groupage Cargo Transportation Model. Transport and Telecommunication Journal, 17 (1), 60–72. doi: https://doi.org/10.1515/ttj-2016-0007
  3. Liotta, G., Stecca, G., Kaihara, T. (2015). Optimisation of freight flows and sourcing in sustainable production and transportation networks. International Journal of Production Economics, 164, 351–365. doi: https://doi.org/10.1016/j.ijpe.2014.12.016
  4. Petraška, A., Čižiūnienė, K., Prentkovskis, O., Jarašūnienė, A. (2018). Methodology of Selection of Heavy and Oversized Freight Transportation System. Transport and Telecommunication Journal, 19 (1), 45–58. doi: https://doi.org/10.2478/ttj-2018-0005
  5. Bazaras, D., Batarlienė, N., Palšaitis, R., Petraška, A. (2013). Optimal road route selection criteria system for oversize goods transportation. The Baltic Journal of Road and Bridge Engineering, 8 (1), 19–24. doi: https://doi.org/10.3846/bjrbe.2013.03
  6. Bula, G. A., Prodhon, C., Gonzalez, F. A., Afsar, H. M., Velasco, N. (2017). Variable neighborhood search to solve the vehicle routing problem for hazardous materials transportation. Journal of Hazardous Materials, 324, 472–480. doi: https://doi.org/10.1016/j.jhazmat.2016.11.015
  7. Doumiati, M., Erhart, S., Martinez, J., Sename, O., Dugard, L. (2014). Adaptive control scheme for road profile estimation: application to vehicle dynamics. IFAC Proceedings Volumes, 47 (3), 8445–8450. doi: https://doi.org/10.3182/20140824-6-za-1003.00986
  8. Gardziejczyk, W., Zabicki, P. (2017). Normalization and variant assessment methods in selection of road alignment variants – case study. Journal of civil engineering and management, 23 (4), 510–523. doi: https://doi.org/10.3846/13923730.2016.1210223
  9. Тryhuba, А., Ftoma, O., Тryhuba, I., Boyarchuk, O. (2019). Method of quantitative evaluation of the risk of benefits for investors of fodder-producing cooperatives. 14th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 55–58.
  10. Ratushny, R., Tryhuba, A., Bashynsky, O., Ptashnyk, V. (2019). Development and Usage of a Computer Model of Evaluating the Scenarios of Projects for the Creation of Fire Fighting Systems of Rural Communities. 2019 XIth International Scientific and Practical Conference on Electronics and Information Technologies (ELIT). doi: https://doi.org/10.1109/elit.2019.8892320
  11. Andrés, L., Padilla, E. (2015). Energy intensity in road freight transport of heavy goods vehicles in Spain. Energy Policy, 85, 309–321. doi: https://doi.org/10.1016/j.enpol.2015.06.018
  12. Ratushnyi, R., Khmel, P., Tryhuba, A., Martyn, E., Prydatko, O. (2019). Substantiating the effectiveness of projects for the construction of dual systems of fire suppression. Eastern-European Journal of Enterprise Technologies, 4 (3 (100)), 46–53. doi: https://doi.org/10.15587/1729-4061.2019.175275
  13. Tryhuba, A., Pavlikha, N., Rudynets, M., Tryhuba, I., Grabovets, V., Skalyga, M. et. al. (2019). Studying the influence of production conditions on the content of operations in logistic systems of milk collection. Eastern-European Journal of Enterprise Technologies, 3 (3 (99)), 50–63. doi: https://doi.org/10.15587/1729-4061.2019.171052
  14. Benekos, I., Diamantidis, D. (2017). On risk assessment and risk acceptance of dangerous goods transportation through road tunnels in Greece. Safety Science, 91, 1–10. doi: https://doi.org/10.1016/j.ssci.2016.07.013
  15. Newnam, S., Goode, N., Salmon, P., Stevenson, M. (2017). Reforming the road freight transportation system using systems thinking: An investigation of Coronial inquests in Australia. Accident Analysis & Prevention, 101, 28–36. doi: https://doi.org/10.1016/j.aap.2017.01.016
  16. Tryhuba, A., Zachko, O., Grabovets, V., Berladyn, O., Pavlova, I., Rudynets, M. (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, 5 (3 (95)), 59–70. doi: https://doi.org/10.15587/1729-4061.2018.142227
  17. Park, S.-W. (2004). Modeling of deformational characteristics in unbound granular geomaterials. KSCE Journal of Civil Engineering, 8 (3), 281–285. doi: https://doi.org/10.1007/bf02836010
  18. Pauer, G. (2017). Development Potentials and Strategic Objectives of Intelligent Transport Systems Improving Road Safety. Transport and Telecommunication Journal, 18 (1), 15–24. doi: https://doi.org/10.1515/ttj-2017-0002
  19. Petraška, A., Čižiūnienė, K., Jarašūnienė, A., Maruschak, P., Prentkovskis, O. (2017). Algorithm for the assessment of heavyweight and oversize cargo transportation routes. Journal of Business Economics and Management, 18 (6), 1098–1114. doi: https://doi.org/10.3846/16111699.2017.1334229
  20. Тryhuba, А., Bashynsky, O. (2019). Coordination of dairy workshops projects on the community territory and their project environment. 14th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), 51–54.
  21. Bartuška, L., Biba, V., Jeřábek, K. (2016). Verification of Methodical Procedure for Determining the Traffic Volumes Using Short-term Traffic Surveys. Procedia Engineering, 161, 275–281. doi: https://doi.org/10.1016/j.proeng.2016.08.553
  22. Maitah, M., Hodrab, R., Malec, K., Shanab, S. A. (2015). Exploring the Determinants of Consumer Behavior in West Bank, Towards Domestic and Imported Dairy Products. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63 (1), 355–368. doi: https://doi.org/10.11118/actaun201563010355
  23. Barłowska, J., Litwińczuk, Z., Kowal, M. (2014). Influence of Production Season and Lactation Stage on the Technological Suitability of Milk from Cows of Various Breeds Fed in the TMR System. Annals of Animal Science, 14 (3), 649–661. doi: https://doi.org/10.2478/aoas-2014-0039
  24. Bandyopadhyay, P., Khamrui, K. (2007). Technological advancement on traditional indian desiccated and heat-acid coagulated dairy products. Australian Journal of Dairy Technology, 62 (2), 4–10.

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Published

2019-11-21

How to Cite

Tryhuba, A., Rudynets, M., Pavlikha, N., Tryhuba, I., Kytsyuk, I., Kornelyuk, O., Fedorchuk-Moroz, V., Androshchuk, I., Skorokhod, I., & Seleznov, D. (2019). Establishing patterns of change in the indicators of using milk processing shops at a community territory. Eastern-European Journal of Enterprise Technologies, 6(3 (102), 57–65. https://doi.org/10.15587/1729-4061.2019.184508

Issue

Vol. 6 No. 3 (102) (2019): Control processes

Section

Control processes

License

Copyright (c) 2019 Anatoliy Tryhuba, Mykola Rudynets, Nataliia Pavlikha, Inna Tryhuba, Iryna Kytsyuk, Olga Kornelyuk, Valentyna Fedorchuk-Moroz, Igor Androshchuk, Iryna Skorokhod, Dmytro Seleznov

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