Ranking the Strategies of Mining Sector Through Anp and Topsis in a Swot Framework / Gavybos Sektoriaus Strategijų Rangavimas Taikant Anp, Topsis Ir SSGG Metodus

Azimi, Reza; Yazdani-Chamzini, Abdolreza; Fouladgar, Mohammad Majid; Zavadskas, Edmundas Kazimieras; Basiri, Mohammad Hossein

doi:10.3846/16111699.2011.626552

Cited by 82 publications

(25 citation statements)

References 42 publications

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“…The ideal solution (also called positive ideal solution) is a solution that maximizes the benefit criteria and minimizes the cost criteria, whereas the negative ideal solution (also called anti-ideal solution) maximizes the cost criteria and minimizes the benefit criteria (Ataei et al, 2008). Recently the TOPSIS method has been widely applied (Zavadskas and Antucheviciene, 2006;Liaudanskiene et al, 2009;Rudzianskaitė-Kvaraciejienė et al, 2010;Zavadskas et al, 2010 a, b;Antucheviciene et al, 2010;Cokorilo et al, 2010;Lashgari et al, 2011;Tupenaite et al, 2010;Podvezko et al, 2010;Fouladgar et al, 2011;Han and Liu, 2011;Azimi et al, 2011, Liu, 2011.…”

Section: Fuzzy Topsis Methodsmentioning

confidence: 99%

Equipment Selection Using Fuzzy Multi Criteria Decision Making Model: Key Study of Gole Gohar Iron Min

Lashgari

Yazdani–Chamzini²,

Fouladgar³

et al. 2012

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Loading and hauling contribute significantly towards expenses in surface mines. Thus selecting the most suitable system which minimizes the cost per ton and meets production needs is one of the main concerns of mine design and planning. It is also at times difficult to select the optimum equipment, as there are many possible options and influencing factors in selecting a system. Furthermore, some of these factors can be either quantitative or qualitative. As a result, the use of multi attribute decision making methods can be useful. In this article, the selection of the equipment fleet of Gole Gohar mine was done though four stages. First, feasible technical and operational options were determined. Next, the weights of influential criteria were determined using a hybrid method of fuzzy analytical hierarchical process and analytical network process. Then, the alternative preference rating matrix was calculated using fuzzy TOPSIS method and finally, the hierarchy of alternatives was decided by combining the available weight and ranking matrix. This model considers all affecting parameters simultaneously and facilitates making a reasonable decision about the most appropriate material handling equipment. For the purpose of evaluation in this method, the cost of each equipment fleet was assessed and compared using the traditional method. Results show that the use of the fleet of cable shovel and truck is the most economical loading and hauling system. The results not only indicate that proposed model offers chances to choose the best alternative among possible loading and hauling systems, but also help equipment managers to make an accurate and reasonable decision regarding all effective parameters.

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Section: Fuzzy Topsis Methodsmentioning

confidence: 99%

Equipment Selection Using Fuzzy Multi Criteria Decision Making Model: Key Study of Gole Gohar Iron Min

Lashgari

Yazdani–Chamzini²,

Fouladgar³

et al. 2012

Self Cite

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“…Consequently, where the determination of the importance of the SWOT factors is necessary, this technique has always been used by different researchers with the relevant Multi-Criteria Decision-Making methods (MCDM). The MCDM that have been used to support SWOT analysis includes the Analytical Network Process (ANP), the Analytic Hierarchy Process (AHP) and the TOPSIS [16][17][18].…”

Section: Methodsmentioning

confidence: 99%

Appraisal of Strategies for Dealing with the Physical Hazards of Abandoned Surface Mine Excavations: A Case Study of Frankie and Nyala Mines in South Africa

2020

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In order to improve the safety status and the quality of the landscape affected by surface mining, it is important that practical strategies for dealing with the excavations are identified. The aim of the work presented in this paper was to carry out an appraisal of the strategies for addressing the physical hazards of abandoned surface mine excavations in two mines in the Limpopo Province, South Africa. The method used involved carrying out field characterization of the current state and uses of the excavations, as well as their physical hazards of the surface mine excavations in the study area. The characterization took into consideration. Possible strategies for addressing the physical hazards of the excavations are identified, and their strengths, weaknesses, opportunities, and threats (SWOT) analyzed. The Quantitative Strategic Planning Matrix (QSPM) was performed on each of the identified strategies with the purpose of determining their attractiveness based on their SWOT factors. The results of the study showed that using a combination of strategies to deal with the physical hazards of the abandoned mine excavations was the most attractive approach followed by the grading of the slopes of the excavations to improve their stability, while promoting their safe alternative uses. The no-action option and backfilling of the excavations were the least attractive strategies for dealing with the abandoned surface mine excavations. The study demonstrated how semi-quantitative tools, such as the SWOT analysis and QSPM could assist in finding practical approaches for dealing with the problems of abandoned mine sites or features.

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“…Combining the ANP method to this analysis resulted in the identification of 14 factors and four types of strategies [31,32] through which the ceramic manufacturing industry could chose the best development strategy. In another study [33], a SWOT-ANP model was proposed for Iran's scrap industry, and compared the results of AHP and ANP with the industry strategy selection.…”

Section: Integrating Anp and Swot Analysismentioning

confidence: 99%

Strategic Choices of China’s New Energy Vehicle Industry: An Analysis Based on ANP and SWOT

Wang

Shang

et al. 2017

Energies

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This goal of this paper is to provide a framework by which China should accelerate the development and production of new energy vehicles, which should effectively address current energy and environmental pressures, while promoting the sustainable development of the automotive industry, which is an urgent task. In addition, this paper provides guidelines that seek to transform China's auto industry while developing a new economic growth point to gain an international competitive advantage with strategic initiatives. This study aims to provide an ANP-SWOT (Analytic Network Process and Strength-Weakness-Opportunity-Threat analysis) approach for an interdependency analysis and to prioritize the new energy automobile industry in China. Firstly, a SWOT model is used to analyze the internal and external factors surrounding the development of the new energy automobile industry in China. Secondly, four types of development strategies are proposed by means of the SWOT matrix according to the conclusions of the factor analysis. Finally, the ANP network structure is designed to measure the effects of influential sub-factors, and then to define a strategic plan for China's new energy automobile industry. The results of this study show that the optimal short-term development strategy for China's new energy automotive industry is to increase the construction of new energy vehicle-related facilities, while the best long-term development strategy is to use local advantages and resources, through cost control measures which increase competition within the local new energy automotive industry.

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Ranking the Strategies of Mining Sector Through Anp and Topsis in a Swot Framework / Gavybos Sektoriaus Strategijų Rangavimas Taikant Anp, Topsis Ir SSGG Metodus

Cited by 82 publications

References 42 publications

Equipment Selection Using Fuzzy Multi Criteria Decision Making Model: Key Study of Gole Gohar Iron Min

Equipment Selection Using Fuzzy Multi Criteria Decision Making Model: Key Study of Gole Gohar Iron Min

Appraisal of Strategies for Dealing with the Physical Hazards of Abandoned Surface Mine Excavations: A Case Study of Frankie and Nyala Mines in South Africa

Strategic Choices of China’s New Energy Vehicle Industry: An Analysis Based on ANP and SWOT

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