Studying the influence of production conditions on the content of operations in logistic systems of milk collection

Authors

DOI:

https://doi.org/10.15587/1729-4061.2019.171052

Keywords:

planning, content of operations, milk collection, logistic systems, quality of control

Abstract

The algorithm of coordination of the content and time of operations execution in logistic systems of milk collection with manufacturing conditions was developed. The appropriateness of execution of eleven management operations ensuring coordination of collection-transport operations with daily volumes of arrival of raw milk material at its collection points was substantiated. The research was carried out based on the simulation of execution of collection-transport operations of various content, taking into consideration changing manufacturing conditions.

The prediction of the functional indicators in particular periods of the calendar year was performed based on simulation of operations execution in a logistic system of milk collection taking into account changing manufacturing conditions and possible options for the content of operations. It was substantiated that at an increase in the number of operations of milk collection, the quantitative values of the indicators of execution of these operations increase, while the quantitative values of the indicators of execution of transport operations decrease.

It was found that during the calendar year in a specified logistic system of milk collection, the content of collection and transportation operations and production conditions have a significant impact on their indicators. It was substantiated that the quantitative value of these indicators during the calendar year changes by 1.2…3 times. This is explained by a change in the volume of milk collection over a calendar year. The obtained results indicate the feasibility of daily coordination of the content of operations execution in an assigned logistic system of milk collection with production conditions.

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

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

Doctor of Economic Sciences, Professor, Vice-rector

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

PhD, Associate Professor

Department of Civil Security

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

PhD, Associate Professor

Department of Genetics, Breeding and Plant Protection

Vitaliy Grabovets, Lutsk National Technical University Lvivska str., 75, Lutsk, Ukraine, 43018

PhD, Associate Professor

Department of Cars and Transportation Technologies

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

PhD, Associate Professor

Department of Cars and Transportation Technologies

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

PhD, Associate Professor

Department of Finance, Banking and Insurance

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

PhD

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

References

  1. On Milk and Dairy Products: Zakon vid 24.06.2004 No. 1870-IV. Verkhovna Rada of Ukraine. Available at: https://zakon.rada.gov.ua/laws/show/1870-15
  2. Seriya standartov ISO9000. Ofitsial'nye dokumenty. Available at: http://staratel.com/iso/ISO9000/Doc/index.html
  3. Hofstra, N., Dullaert, W., De Leeuw, S., Spiliotopoulou, E. (2019). Individual goals and social preferences in operational decisions. International Journal of Operations & Production Management, 39 (1), 116–137. doi: https://doi.org/10.1108/ijopm-11-2016-0690
  4. Akkerman, R., van Donk, D. P. (2009). Analyzing scheduling in the food-processing industry: structure and tasks. Cognition, Technology & Work, 11 (3), 215–226. doi: https://doi.org/10.1007/s10111-007-0107-7
  5. Fransoo, J. C., Wiers, V. C. S. (2006). Action variety of planners: Cognitive load and requisite variety. Journal of Operations Management, 24 (6), 813–821. doi: https://doi.org/10.1016/j.jom.2005.09.008
  6. Bendoly, E., Croson, R., Goncalves, P., Schultz, K. (2009). Bodies of Knowledge for Research in Behavioral Operations. Production and Operations Management, 19 (4), 434–452. doi: https://doi.org/10.1111/j.1937-5956.2009.01108.x
  7. Buijs, P., Alvarez, J. A. L., Veenstra, M., Roodbergen, K. J. (2016). Improved Collaborative Transport Planning at Dutch Logistics Service Provider Fritom. Interfaces, 46 (2), 119–132. doi: https://doi.org/10.1287/inte.2015.0838
  8. Bendul, J. C., Knollman, M. (2016). The human factor in production planning and control: considering human needs in computer aided decision-support systems. International Journal of Manufacturing Technology and Management, 30 (5), 346. doi: https://doi.org/10.1504/ijmtm.2016.078921
  9. Buijs, P., (“Hans”) Wortmann, J. C. (2014). Joint operational decision-making in collaborative transportation networks: the role of IT. Supply Chain Management: An International Journal, 19 (2), 200–210. doi: https://doi.org/10.1108/scm-08-2013-0298
  10. Sadler, I., Hines, P. (2002). Strategic operations planning process for manufacturers with a supply chain focus: concepts and a meat processing application. Supply Chain Management: An International Journal, 7 (4), 225–241. doi: https://doi.org/10.1108/13598540210438962
  11. Levykin, V., Chala, O. (2018). Development of a method for the probabilistic inference of sequences of a business process activities to support the business process management. Eastern-European Journal of Enterprise Technologies, 5 (3 (85)), 16–24. doi: https://doi.org/10.15587/1729-4061.2018.142664
  12. 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
  13. 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
  14. 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
  15. Sidorchuk, O. V., Triguba, A. M., Panyura, Ya. Y., Sholud'ko, P. V. (2010). Features of situational management by the maintenance and the lead time of works in the integrated projects agrarian production. Eastern-European Journal of Enterprise Technologies, 1 (2 (43)), 46–48. Available at: http://journals.uran.ua/eejet/article/view/2507/2295
  16. Tryhuba, A. M., Rudynets, M. V. (2011). Coordination of work in integrated projects molocharstva. Eastern-European Journal of Enterprise Technologies, 1 (6 (49)), 13–16. Available at: http://journals.uran.ua/eejet/article/view/2373/2175
  17. Sydochuk, O. V., Tryhuba, A. M., Lub, P. M., Sharybura, A. O. (2016). Uzghodzhennia parametriv transportnykh zasobiv systemy tsentralizovanoi zahotivli silskohospodarskoi produktsiyi iz vyrobnychymy umovamy administratyvnoho raionu. Suchasni tekhnolohiyi v mashynobuduvanni ta transporti, 1 (5), 148–152.
  18. 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
  19. Tryhuba, A., Ratushny, R., Bashynsky, O., Shcherbachenko, O. (2018). Identification of firefighting system configuration of rural settlements. MATEC Web of Conferences, 247, 00035. doi: https://doi.org/10.1051/matecconf/201824700035
  20. Tryhuba, A. M., Sholudko, P. V., Sydorchuk, L. L., Boiarchuk, O. V. (2016). System-value principles of management of integrated programs of the milk production development based on modeling. Bulletin of NTU "KhPI". Series: Strategic Management, Portfolio, Program and Project Management, 2 (1174), 103–107. doi: https://doi.org/10.20998/2413-3000.2016.1174.23

Downloads

Published

2019-06-21

How to Cite

Tryhuba, A., Pavlikha, N., Rudynets, M., Tryhuba, I., Grabovets, V., Skalyga, M., Tsymbaliuk, I., Khomiuk, N., & Fedorchuk-Moroz, V. (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. https://doi.org/10.15587/1729-4061.2019.171052

Issue

Section

Control processes