MULTICRITERIA OPTIMISATION OF PORK PRODUCTION TECHNOLOGY ON MEDIUM-SIZED FARMS

Authors

  • Maria Pushkina

DOI:

https://doi.org/10.37000/abbsl.2025.115.14

Keywords:

technology, space-planning solution, project, evaluation criteria, efficiency, pig breeding, pigs.

Abstract

The development of scientific and technological progress in the field of pig production is inextricably linked to the continuous improvement of technological equipment, space-planning solutions for industrial buildings and farm development. Large-scale farms and complexes are being built to improve the forms and methods of pig production around the world. In order to choose the most rational option for certain conditions, it is necessary to apply criteria by which to compare the options under consideration. The right list of criteria plays a significant role in choosing the best solution. A large number of different technologies with a wide variety of technological means requires the availability and use of evaluation criteria that can be used to assess and select the most efficient technologies and the most rational design and technological solutions for pig farms. While standard designs can be used for the construction of new pig farms and complexes, the reconstruction and modernisation of existing ones requires a personal approach to designing in accordance with the terms of reference. The selection of a project for further financing takes place in several stages. The relevance of the benchmarking tasks, as well as the selection, is determined at the preliminary stage by considering a fairly wide range of project alternatives (or projects themselves). Moreover, their detailed analysis can lead to significant expenditure of resources and time. If several investment projects have been formed, and each of them meets the requirements in terms of its financial and economic indicators (the final stage of investment research), it is also necessary to solve the problem of their comparative analysis, which is associated with the selection of one best project (option) or some combination of them for further implementation. If several best projects are to be selected from the portfolio, the total amount of financing, taking into account the investor's capabilities, can be determined by applying the Pareto selection rule. According to this rule, the best option would be the one that would be no worse than the first one in all respects, and at the same time at least one indicator better than it. The efficiency of the developed space-planning solutions was assessed using mathematical methods of multi-criteria optimisation. The following evaluation criteria were applied: the cost of the area intended for meat production; the use of production area per average pig; and the workload of the machine part of the pigsty. The criteria for payment for the area intended for meat production, the use of the amount of production area per average annual pig, the use of the machine (useful) area of the pigsty and specific labour costs for projects for 168, 200 and 200 main sows were calculated. Based on the data obtained, it was found that the most efficient from both technological and economic points of view is the first project of a pig farm designed for 200 main sows.

Author Biography

Maria Pushkina

junior researcher at the laboratory of innovative technologies and experimental livestock facilities
Institute of Pig Breeding and Agroindustrial Production of the National Academy of Agrarian Sciences of Ukraine, Poltava, Ukraine
ORCID ID 0000-0001-5705-2977
e-mail: azulaniakris@gmail.com

References

Vidomchi normy tekhnolohichnoho proektuvannya. Svynarsʹki pidpryyemstva (kompleksy, fermy, mali fermy): VNTP-APK-02.05. [Departmental standards for technological design. Pig enterprises (complexes, farms, small farms): VNTP-APK-02.05.] Kyiv: Ministry of Agrarian Policy, 2005. 98 p.

Voloshchuk V.M. Teoretychne obgruntuvannya i stvorennya konkurentospromozhnykh tekhnolohiy vyrobnytstva svynyny: monohrafiya. [Theoretical justification and creation of competitive pork production technologies: monograph.] Poltava: LLC “Techservice Company”, 2012. 350 p.

Voloshchuk V. M., Smyslov S. YU., Pidtereba O. I. Ksʹonz I. M. Obʺyemno-planuvalʹni ta tekhnolohichni rishennya rekonstruktsiyi prymishchenʹ pry perevedenni svynarstva na potokovu systemu vyrobnytstva [Volumetric planning and technological solutions for the reconstruction of premises when transferring pig farming to a flow production system] PIG BREEDING. 2017. Vol. 70. P. 11–19.

Voloshchuk V.M. Teoretychne obgruntuvannya i stvorennya konkurentospromozhnykh tekhnolohiy vyrobnytstva svynyny [Theoretical substantiation and creation of competitive pork production technologies] Manuscript. Abstract of the dissertation for the degree of Doctor of Agricultural Sciences. Kherson, 2009.

Lykhach V.YA. Obgruntuvannya, rozrobka ta vprovadzhennya intensyvno-tekhnolohichnykh rishenʹ u svynarstvi [Justification, development and implementation of intensive technological solutions in pig farming]: Dissertation ... Doctor of Agricultural Sciences: 06.02.04 / Mykolaiv National Agrarian University. Mykolaiv, 2015. 478 p

Pidtereba O. I., Smyslov S. YU., Sokyrko M. P. Efektyvnistʹ novykh tekhnolohichnykh rishenʹ pry rekonstruktsiyi svynarsʹkykh pleminnykh ferm. [Effectiveness of new technological solutions in the reconstruction of pig breeding farms] Collection of scientific works of Podolsk State Agrarian and Technical University. Kamianets-Podilskyi, 2013. Issue 21. PP. 221–222. (Series "Technology of production and processing of livestock products").

Obgruntuvannya, rozrobka ta vprovadzhennya intensyvno-tekhnolohichnykh rishenʹ u svynarstvi : monohrafiya [Justification, development and implementation of intensive technological solutions in pig farming: monograph] / V. Ya. Lykhach. Mykolaiv: MNAU, 2016. 227 p. ISBN 978-617-7149-20-9

Osoblyvosti proektuvannya svynoferm v suchasnykh umovakh [Features of designing pig farms in modern conditions] / V. Yu. Dudin [et al.]. Bulletin of the Kharkiv National Technical University of Agriculture named after Petro Vasylenko. Kharkiv, 2013. Issue 132: Technical systems and technologies of livestock farming. P. 365-371.

Ivchenko R.A., Kupin A.I. Doslidzhennya metodiv bahatokryterialʹnoyi optymizatsiyi dlya vyboru obladnannya abo detaley na vyrobnytstvi. [Research of multi-criteria optimization methods for the selection of equipment or parts in production.] Scientific notes of the V.I. Vernadsky TNU. Series: Technical Sciences. Informatics, Computer Engineering and Automation. DOI https://doi.org/10.32838/2663-5941/2021.1-1/11

Radchenko V.I. Tekhnolohiya - nauka pro vyrobnytstvo svynyny. Tekhnolohiya vyrobnytstva produktsiyi svynarstva. [Technology - the science of pork production. Technology of pig production.] Khomutetsk VTK PDAA, 2017. URL: http://svinarstvohvtk.blogspot.com/2017/03/3.html

Teslyuk V.M., Zaharyuk R.V. Metody bahatokryterialʹnoyi optymizatsiyi: CH.1. Konspekt lektsiy z kursu – Metody bahatokryterialʹnoyi optymizatsiyi dlya studentiv spetsialʹnosti 8.05010103 – Systemne proektuvannya. [Multi-criteria optimization methods: Part 1. Lecture notes for the course – Multi-criteria optimization methods for students of the specialty 8.05010103. System design] Lviv: Publishing House of the National University – Lviv Polytechnic, 2012. – 64 p.

Dodgson J. S., Spackman M., Pearman A., & Phillips L. D. (2009). Multi-criteria analysis: A manual. London: Department for Communities and Local Government.

Ekonomiko-matematychne modelyuvannya v silʹsʹkomu hospodarstvi: navch. posibnyk [Economic and mathematical modeling in agriculture: a textbook] / N. K. Vasilyeva. Dnipropetrovsk: Bila K. O., 2015. 155 p.

Lene Juul Pedersen, Chapter 1 - Overview of commercial pig production systems and their main welfare challenges, Editor(s): Marek Špinka, In Woodhead Publishing Series in Food Science, Technology and Nutrition, Advances in Pig Welfare, Woodhead Publishing, 2018, Pages 3-25, https://doi.org/10.1016/B978-0-08-101012-9.00001-0.

Tekhnolohiya vyrobnytstva i pererobky produktsiyi svynarstva: navchalʹnyy posibnyk [Technology of production and processing of pig products: a training manual] / M. Povod, O. Bondarska, V. Lykhach, S. Zhyzhka, V. Nechmilov and others. Kyiv: Scientific Methodological Center of the VFPO, 2021. 360 p.

Alex A. Freitas. 2004. A critical review of multi-objective optimization in data mining: a position paper. SIGKDD Explor. Newsl. 6, 2 (December 2004), 77–86. https://doi.org/10.1145/1046456.1046467

Florence Garcia-Launay, Cécile Crolard, E. Teisseire, Mohsen Davoudkhani, Joël Aubin. Multiobjective feed formulation for pig: methodological approach and application. 70. Annual Meeting of the European Federation of Animal Science (EAAP), Aug 2019, Gand, Belgium. Wageningen Academic Publishers, Annual Meeting of the European Association for Animal Production, 25, 2019, Annual Meeting of the European Association for Animal Production. ⟨ hal-02306201 ⟩

Kasprzak, E., Lewis, K. Pareto analysis in multiobjective optimization using the collinearity theorem and scaling method. Struct Multidisc Optim 22, 208–218 (2001). https://doi.org/10.1007/s001580100138

Mohebalizadehgashti, F., Zolfagharinia, H., & Amin, S. H. (2019). Designing a Green Meat Supply Chain Network: A Multi-objective Approach. International Journal of Production Economics. doi:10.1016/j.ijpe.2019.07.007

Nyoman Gunantara Qingsong Ai (Reviewing editor) (2018) A review of multi-objective optimization: Methods and its applications, Cogent Engineering, 5:1, DOI: 10.1080/23311916.2018.1502242

Yunfei Jia, Zhaohui Zhang, Zejun He, Panpan Zhu, Yibei Zhang, Tianhua Sun, "Production Efficiency Prediction of Pig Breeding Industry by Optimized LSTM Computer Algorithm under Environmental Regulation", Scientific Programming, vol. 2021, Article ID 3074167, 12 pages, 2021. https://doi.org/10.1155/2021/3074167

A review of Pareto pruning methods for multi-objective optimization Petchrompo S., Coit D.W., Brintrup A., Wannakrairot A., Parlikad A.K. (2022) Computers and Industrial Engineering, 167 , art. no. 108022 https://doi.org/10.1016/j.cie.2022.108022.

Czajkowski, M., Kretowski, M. (2019). A multi-objective evolutionary approach to Pareto-optimal model trees. Soft Computing. Vol. 23, pp. 1423–1437. https://doi.org/10.1007/s00500-018-3646-3

Groot, J. C. J., Oomen, G. J. M., & Rossing, W. A. H. (2012). Multi-objective optimization and design of farming systems. Agricultural Systems, 110, 63–77. doi:10.1016/j.agsy.2012.03.012

Tamaki H., Kita H. and Kobayashi S., "Multi-objective optimization by genetic algorithms: a review," Proceedings of IEEE International Conference on Evolutionary Computation, Nagoya, Japan, 1996, pp. 517-522, doi: 10.1109/ICEC.1996.542653.

Germán Giner Santonja, Konstantinos Georgitzikis, Bianca Maria Scalet, Paolo Montobbio, Serge Roudier, Luis Delgado Sancho; Best Available Techniques (BAT) Reference Document for the Intensive Rearing of Poultry or Pigs; EUR 28674 EN; doi:10.2760/020485

Published

2025-06-30

How to Cite

Пушкіна, М. (2025). MULTICRITERIA OPTIMISATION OF PORK PRODUCTION TECHNOLOGY ON MEDIUM-SIZED FARMS. Agrarian Bulletin of the Black Sea Littoral, (115), 167-181. https://doi.org/10.37000/abbsl.2025.115.14