Competences-based Comparison and Ranking of Industrial Enterprises Using PROMETHEE Method

Veža, Ivica; Celar, Stipe; Peronja, Ivan

doi:10.1016/j.proeng.2015.01.389

Cited by 20 publications

(15 citation statements)

References 3 publications

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“…Hence, the technology has been named in contemporary literature PROMETHEE GAIA. The number of the studies applying PROMETHEE GAIA method in their research is increasing year after year, which is confirmed by numerous publications [64,65,67,68,[70][71][72][73][74][75][76].…”

Section: Data Collectionmentioning

confidence: 79%

New Approach to Multi-Criteria Ranking of the Copper Concentrate Smelting Processes based on the PROMETHEE/GAIA Methodology

2019

APH

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Although the production of copper and its usage has been known for thousands of years, the search for the optimal process of its production is still in progress. The removal of the negative impacts of a certain technology could cost more, over a period of time, than the initial investment in the selection of the optimal technology process which would consider these effects. Hence, the selection should be supported by the innovative and modern tools, such as the applying of the multi-criteria analysis. This paper presents the implementation of the PROMETHEE/GAIA methodology for the ranking of the appropriate technological pyrometallurgical smelting process for the copper concentrate based on the eleven parameters which recognize the economic, ecological and technical aspects of the technological process. The implementation of the multi-criteria decision-making presented in this paper can be deemed as a contribution to the decision making tools, that is, to the one who makes a decision on the selection of the appropriate technological facility for smelting of the copper concentrates. The decision-makers faced with the practical need of evaluating and selecting the most appropriate technological process for pyrometallurgical copper extraction will get the greatest benefit from this multi-criteria model. The innovative contribution of this paper is also presented in the obtained model which systematically analyzes the ecological, economic and technical parameters of the copper extraction process.

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Section: Data Collectionmentioning

confidence: 79%

New Approach to Multi-Criteria Ranking of the Copper Concentrate Smelting Processes based on the PROMETHEE/GAIA Methodology

2019

APH

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“…• In (2015) [14], PROMETHEE method is used by Veza et al for ranking industrial enterprises based on enterprise's competences;…”

Section: Related Literaturementioning

confidence: 99%

The Ranking of Districts in Ouagadougou by the Risk of Flood and Runoff Using the PROMETHEE

Yougbaré

2019

Eur. J. Pure Appl. Math.

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PROMETHEE methods are used for analyzing the risk of flood runoff in urban areas of Ouagadougou in Burkina Faso. 12 criteria are considered to calculate preference indices of the districts. We generated, on one hand, weights associated to these criteria taking into account hypotheses relatively to the importance or to the impact of each criterion evaluating the risk of flood runoff and on the other hand, we used the PROMETHEE methods to analyze this decision’s problem with its diverse criteria. The PROMETHEE I and PROMETHEE II are used ranking the districts in relation with the degree of risk of flood runoff. This ranking is permitted by the calculated preference indices. Our aim is, on one hand showing to the potential decision-maker the importance of such a multi-criteria analysis and on the other hand, of verifying the coherence of the hypotheses with the obtained weights.

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“…It has been used to evaluate the decision-making for renewable projects [25] and industrial enterprises [26]. PROMETHEE II provides a complete ranking of the alternatives and uses net flow to rank the alternatives.…”

Section: Promethee IImentioning

confidence: 99%

Robust Priority for Strategic Environmental Assessment with Incomplete Information Using Multi-Criteria Decision Making Analysis

Park

Kim

et al. 2015

Sustainability

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This study investigates how the priority rankings for dam construction sites vary with multi-criteria decision making (MCDM) techniques and generation approaches for incomplete information. Strategic environmental assessment (SEA) seeks to recommend sustainable dam construction sites based on their environmental and ecological impacts in a long-term plan for dam construction (LPDC) in South Korea. However, if specific information is missing, the SEA is less useful for choosing a dam construction site. In this study, we applied AHP, ELECTRE III, PROMETHEE II and Compromise Programming as MCDM techniques, and used binomial and uniform distributions to generate missing information. We considered five dam site selection situations and compared the results as they depended on both MCDM techniques and information generation methods. The binomial generation method showed the most obvious priorities. All MCDM techniques showed similar priorities in the dam site selection results except for ELECTREE III. The results demonstrate that selecting an appropriate MCDM technique is more important than the data generation method. However, using binomial distribution to generate missing information is more effective in providing a robust priority than uniform distribution, which is a commonly used technique.

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Competences-based Comparison and Ranking of Industrial Enterprises Using PROMETHEE Method

Cited by 20 publications

References 3 publications

New Approach to Multi-Criteria Ranking of the Copper Concentrate Smelting Processes based on the PROMETHEE/GAIA Methodology

New Approach to Multi-Criteria Ranking of the Copper Concentrate Smelting Processes based on the PROMETHEE/GAIA Methodology

The Ranking of Districts in Ouagadougou by the Risk of Flood and Runoff Using the PROMETHEE

Robust Priority for Strategic Environmental Assessment with Incomplete Information Using Multi-Criteria Decision Making Analysis

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