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首页> 外文期刊>Arabian journal of geosciences >Ranking of productivity improvement strategies in Iran mineral sector based on integrated SWOT-FAHP-FTOPSIS analysis
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Ranking of productivity improvement strategies in Iran mineral sector based on integrated SWOT-FAHP-FTOPSIS analysis

机译：基于综合SWOT-FAHP-FTOPSIS分析的伊朗矿业生产力提高策略的排名

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摘要

The Iran's mineral sector, as a major supplier of mineral industries, plays a central role on Iran economy. Promoting the productivity in this area leads to the enhancement of the business environment. Also, it can influence the production chain and minerals value added. In this study, a comprehensive study was conducted on the major barriers/drivers factors affecting the efficiency in the mining sector. Furthermore, 16 key factors were identified using the expert views. These parameters are divided into four main categories: strengths, weaknesses, opportunities, and threats. In addition, a hierarchy model was designed in which the mentioned four efficient strategic parameters were implemented and the SWOT analysis was applied, as well as the nine macro strategies were determined. In order to prioritize these strategies, multiple steps were carried out. First, the subfactors were weighted by implementing the fuzzy multi attribute decision-making technique by combining the experts' views and triangular fuzzy numbers. Subsequently, the strategies were prioritized by employing the group Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model. The sensitive analysis of the results presents some minor changes in score of the alternatives, but no alteration was affected in the prioritized strategies. The results revealed the importance of resource allocation strategies related to the existing investments as well as supporting and facilitating the new technology in the mining sector.
机译：伊朗的矿产部门作为矿产业的主要供应商，对伊朗经济起着核心作用。促进该领域的生产力导致企业环境的增强。此外，它可以影响生产链和矿物价值。在这项研究中，对影响采矿部门效率的主要障碍/驾驶员因素进行了综合研究。此外，使用专家视图确定了16个关键因素。这些参数分为四个主要类别：优势，劣势，机会和威胁。此外，设计了层次结构模型，其中提到了所提到的四个有效的战略参数，并施加了九种宏观策略。为了优先考虑这些策略，进行了多个步骤。首先，通过将专家的视图和三角模糊数相结合来实现模糊多属性决策技术来加权。随后，通过使用相似性与理想解决方案（TOPSIS）模型的命令偏好进行组模糊技术优先考虑该策略。结果的敏感性分析呈现出替代方案的得分一些微小的变化，但在优先级策略中没有受到影响。结果表明，资源分配策略与现有投资相关的重要性以及支持和促进采矿部门的新技术。

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