Suppr超能文献

一个支持农业机械和农用拖拉机购买决策的计算机系统。

A computer system supporting agricultural machinery and farm tractor purchase decisions.

作者信息

Durczak Karol, Ekielski Adam, Kozłowski Radosław, Żelaziński Tomasz, Pilarski Krzysztof

机构信息

Institute of Biosystems Engineering, Poznań University of Life Sciences, ul. Wojska Polskiego 50, 60-627 Poznań, Poland.

Department of Production Management and Engineering, Warsaw University of Life Sciences, ul. Nowoursynowska 164, 02-787 Warsaw, Poland.

出版信息

Heliyon. 2020 Oct 3;6(10):e05039. doi: 10.1016/j.heliyon.2020.e05039. eCollection 2020 Oct.

Abstract

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 and 2 IFOP edition (Race Ranking), which included several dozen brands of tractors registered in Poland. More than fifty qualitative () and non-qualitative () 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 ( = 4.39 and & = 4.23). These tractors received the best opinions for their functionality, durability, ergonomics and safety.

摘要

运筹学,即在不确定和风险情况下寻找最优解决方案,也可用于支持购买昂贵农业机械的决策。尽管波兰农民从欧盟获得补贴,但这并不意味着他们无需进行深思熟虑的购买,因为错误的购买决策在使用机械时会产生长期后果。本文介绍了IFOP的结果——该系统已在互联网上可用数年。它基于用户自愿但主观的意见收集农业机械和车辆的数据。本文作者开发了一种评估这些特定产品质量的原创多标准方法,这使他们能够对品牌进行相关排名。这是一种算法启发式方法,它使用成对比较工具来确定标准的重要性比率。本文介绍了IFOP第1版和第2版(竞赛排名)的结果,其中包括在波兰注册的几十个拖拉机品牌。考虑了农用拖拉机五十多个定性和非定性特征。据波兰农民称,芬特(Valtra)——AGCO集团旗下的一个芬兰农用拖拉机品牌,是最通用的(=4.39,&=4.23)。这些拖拉机在功能、耐用性、人体工程学和安全性方面获得了最佳评价。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/220b/7548926/d6d6da451fa7/gr1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验