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A computer system supporting agricultural machinery and farm tractor purchase decisions
Operational research, i.e. searching for optimal solutions in a situation of uncertainty and risk, can also be used to support decisions to purchase expensive agricultural machinery. Although Polish farmers receive subsidies from the EU, it does not mean they do not need to make well-thought-out pur...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548926/ https://www.ncbi.nlm.nih.gov/pubmed/33072901 http://dx.doi.org/10.1016/j.heliyon.2020.e05039 |
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author | Durczak, Karol Ekielski, Adam Kozłowski, Radosław Żelaziński, Tomasz Pilarski, Krzysztof |
author_facet | Durczak, Karol Ekielski, Adam Kozłowski, Radosław Żelaziński, Tomasz Pilarski, Krzysztof |
author_sort | Durczak, Karol |
collection | PubMed |
description | Operational research, i.e. searching for optimal solutions in a situation of uncertainty and risk, can also be used to support decisions to purchase expensive agricultural machinery. Although Polish farmers receive subsidies from the EU, it does not mean they do not need to make well-thought-out purchases, because wrong purchase decisions will have long-term consequences while using machinery. The article presents the results of the IFOP – the system which has been available on the Internet for several years. It collects data on farming machinery and vehicles based on users' voluntary but subjective opinions. The authors of this article developed an original multi-criteria method of evaluating the quality of these specific products, which enabled them to make relevant rankings of brands. It is an algorithmic-heuristic method, which uses pairwise comparison tools to determine the significance ratios of the criteria. This article presents the results of the 1(st) and 2(nd) IFOP edition (Race Ranking), which included several dozen brands of tractors registered in Poland. More than fifty qualitative (Q) and non-qualitative (C) traits of farm tractors were taken into account. According to Polish farmers, Valtra – a Finnish brand of farm tractors, part of the AGCO concern, was the most versatile (Q = 4.39 and Q&C = 4.23). These tractors received the best opinions for their functionality, durability, ergonomics and safety. |
format | Online Article Text |
id | pubmed-7548926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-75489262020-10-16 A computer system supporting agricultural machinery and farm tractor purchase decisions Durczak, Karol Ekielski, Adam Kozłowski, Radosław Żelaziński, Tomasz Pilarski, Krzysztof Heliyon Research Article Operational research, i.e. searching for optimal solutions in a situation of uncertainty and risk, can also be used to support decisions to purchase expensive agricultural machinery. Although Polish farmers receive subsidies from the EU, it does not mean they do not need to make well-thought-out purchases, because wrong purchase decisions will have long-term consequences while using machinery. The article presents the results of the IFOP – the system which has been available on the Internet for several years. It collects data on farming machinery and vehicles based on users' voluntary but subjective opinions. The authors of this article developed an original multi-criteria method of evaluating the quality of these specific products, which enabled them to make relevant rankings of brands. It is an algorithmic-heuristic method, which uses pairwise comparison tools to determine the significance ratios of the criteria. This article presents the results of the 1(st) and 2(nd) IFOP edition (Race Ranking), which included several dozen brands of tractors registered in Poland. More than fifty qualitative (Q) and non-qualitative (C) traits of farm tractors were taken into account. According to Polish farmers, Valtra – a Finnish brand of farm tractors, part of the AGCO concern, was the most versatile (Q = 4.39 and Q&C = 4.23). These tractors received the best opinions for their functionality, durability, ergonomics and safety. Elsevier 2020-10-03 /pmc/articles/PMC7548926/ /pubmed/33072901 http://dx.doi.org/10.1016/j.heliyon.2020.e05039 Text en © 2020 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Durczak, Karol Ekielski, Adam Kozłowski, Radosław Żelaziński, Tomasz Pilarski, Krzysztof A computer system supporting agricultural machinery and farm tractor purchase decisions |
title | A computer system supporting agricultural machinery and farm tractor purchase decisions |
title_full | A computer system supporting agricultural machinery and farm tractor purchase decisions |
title_fullStr | A computer system supporting agricultural machinery and farm tractor purchase decisions |
title_full_unstemmed | A computer system supporting agricultural machinery and farm tractor purchase decisions |
title_short | A computer system supporting agricultural machinery and farm tractor purchase decisions |
title_sort | computer system supporting agricultural machinery and farm tractor purchase decisions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7548926/ https://www.ncbi.nlm.nih.gov/pubmed/33072901 http://dx.doi.org/10.1016/j.heliyon.2020.e05039 |
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