The hybrid mathematical model for the evaluation and selection of iron ore raw materials in the context of the European Green Deal

IF 2.2 4区地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY

Acta Montanistica Slovaca Pub Date : 2022-12-08 DOI:10.46544/ams.v27i3.01

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引用次数: 1

Abstract

The actual scientific research on the development of the hybrid mathematical model for evaluating and selecting iron ore raw materials in the context of the EU Green Deal is carried out. The necessity of developing decision support systems within the framework of the EU Green Deal concept is substantiated, in order to increase the degree of validity of decision-making in the evaluation space, regarding the green course and achieving the goals of the green agreement. For the first time, a systematic theoretical-multiple model of the problem of evaluation and selection of iron ore raw materials, according to the proposed factors of chemical composition, cost, and environmental policy of the manufacturer. The problem of multi-criteria selection of alternatives based on the imaginary alternative of the "satisfaction point" of the decision-makers (DM) requirements using the information model of criteria for evaluating the properties of the object of study on the chemical composition of iron ore raw materials. For the first time, a hybrid mathematical model of multi-criteria evaluation of iron ore raw materials with target needs was developed: quality of chemical composition of iron ore raw materials; the cost of iron ore; environmental policy and environmental impact in the extraction and/or enrichment of iron ore raw materials. The results of a study on a real example of evaluation and selection of iron ore concentrate for six alternatives implemented by Metinvest (Ukraine) were tested. The general step-by-step algorithm of the evaluation concept is described, which can be quickly implemented in the software product for the application. The developed model will be a useful tool for various programs of state support/business assistance in the procurement of iron ore raw materials by reasonably choosing a supplier using targeted needs in the context of synchronization with the EU Green Deal initiative. Raw material extraction and subsequent transport logistics are especially important for the engineering industry, the electrical engineering industry, and the automotive industry, with strong potential for the aeronautics and aerospace industry.

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欧洲绿色交易背景下铁矿石原材料评价与选择的混合数学模型

对欧盟绿色协议背景下铁矿石原料评价与选择的混合数学模型的开发进行了实际的科学研究。本文论证了在欧盟绿色协议理念框架内开发决策支持系统的必要性，以提高决策在评估空间的有效性，实现绿色进程和绿色协议目标。首次建立了一个系统的理论多元模型，根据提出的化学成分、成本和制造商的环境政策等因素对铁矿石原料的评价和选择问题进行了分析。基于决策者要求“满意点”的假想替代，利用准则信息模型对铁矿石原料化学成分的性质进行评价，研究了多准则选择问题。首次建立了具有目标需求的铁矿原料多指标评价的混合数学模型:铁矿原料化学成分质量;铁矿石成本;铁矿石原料开采和/或富集过程中的环境政策和环境影响。对Metinvest(乌克兰)实施的评价和选择六种替代方案的铁矿石精矿的实例研究结果进行了检验。描述了评估概念的一般分步算法，该算法可以快速地在应用软件产品中实现。在与欧盟绿色协议倡议同步的背景下，通过合理选择有针对性需求的供应商，开发的模型将成为国家支持/商业援助采购铁矿石原材料的各种计划的有用工具。原材料提取和随后的运输物流对工程工业、电气工程工业和汽车工业尤其重要，航空航天工业具有强大的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Acta Montanistica Slovaca 地学-地球科学综合

CiteScore

3.60

自引率

12.50%

发文量

审稿时长

30 weeks

期刊介绍： Acta Montanistica Slovaca publishes high quality articles on basic and applied research in the following fields: geology and geological survey; mining; Earth resources; underground engineering and geotechnics; mining mechanization, mining transport, deep hole drilling; ecotechnology and mineralurgy; process control, automation and applied informatics in raw materials extraction, utilization and processing; other similar fields. Acta Montanistica Slovaca is the only scientific journal of this kind in Central, Eastern and South Eastern Europe. The submitted manuscripts should contribute significantly to the international literature, even if the focus can be regional. Manuscripts should cite the extant and relevant international literature, should clearly state what the wider contribution is (e.g. a novel discovery, application of a new technique or methodology, application of an existing methodology to a new problem), and should discuss the importance of the work in the international context.