Multi-Criteria Decision Making for Plant Location Selection: An Integrated Delphi–AHP–PROMETHEE Methodology

Mousavi, Seyed Meysam; Tavakkoli–Moghaddam, Reza; Heydar, Mojtaba; Ebrahimnejad, Sadoullah

doi:10.1007/s13369-012-0361-8

Cited by 84 publications

(31 citation statements)

References 9 publications

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“…So far, many scholars have adopted the PROMETHEE method for site selection decision research. For example, PROMETHEE method has been successfully applied to the site selection of a logistics center [34], refuse landfill [35] and power plant [36].…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Site Selection of Wind-Solar Complementary Power Generation Project for a Large-Scale Plug-In Charging Station

2017

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Abstract:The wind-solar hybrid power generation project combined with electric vehicle charging stations can effectively reduce the impact on the power system caused by the random charging of electric cars, contribute to the in-situ wind-solar complementary system and reduce the harm arising from its output volatility. In this paper, the site selection index system of a landscape complementary power generation project is established by using the statistical methods and statistical analysis in the literature. Subsequently, using the Analytic Network Process to calculate the index weight, a cloud model was used in combination with preference ranking organization method for enrichment evaluations to transform and sort uncertain language information. Finally, using the results of the decision-making for the location of the Shanghai wind-solar complementary project and by carrying out contrast analysis and sensitivity analysis, the superiority and stability of the decision model constructed in this study was demonstrated.

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Section: Literature Reviewmentioning

confidence: 99%

Optimal Site Selection of Wind-Solar Complementary Power Generation Project for a Large-Scale Plug-In Charging Station

2017

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“…Implementation of the PROMETHEE requires additional information on the weights of the criteria and decision maker's preference function. Decision maker's weights and preference function when comparing the contribution of the alternatives with respect to each criterion (Mousavi et al, 2013).…”

Section: Multi-criteria Decision Making For Csrliterature Reviewmentioning

confidence: 99%

Multi-criteria decision methods for CSR management – literature review

Doś

2017

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“…achieved good results in addressing this issue [10,17,18]. Monitto et al [19] used a FAHP method to evaluate automated manufacturing systems.…”

Section: Dou Et Al [8]mentioning

confidence: 99%

“…In addition, numerous researchers have attempted to combine the AHP, fuzzy comprehensive evaluation, and outranking methods to improve the evaluation performance. In order to solve complex multi-criteria multi-alternative problems, Mousavi et al [17] proposed an integrated Delphi-AHP-PROMETHEE approach. First, the Delphi method was used to determine the evaluation criteria system.…”

Section: Dou Et Al [8]mentioning

confidence: 99%

Reconfiguration schemes evaluation based on preference ranking of key characteristics of reconfigurable manufacturing systems

Wang

Huang

Yan

et al. 2016

Int J Adv Manuf Technol

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To address the problem of how to build quantitative evaluation index models that reflect the essential characteristics of reconfigurable manufacturing system (RMS) and rank alternative reconfiguration schemes, which possess both advantages and disadvantages, an evaluation method based on the preference ranking organization method for enrichment evaluation (PROMETHEE) is proposed. Based on a consideration of the reconfiguration of the reconfigurable machine components and manufacturing cells, quantitative models of the key characteristics of an RMS (scalability, convertibility, diagnosability, modularity, integrability, and customization) are established, after which the quantitative models are used as the basis for constructing an RMS evaluation index system. The analytic hierarchy process (AHP) is used to assign the weights for these indices. During the evaluation process, PROMETHEE I is first applied to analyze the advantages and disadvantages of each alternative scheme. Then, PROMETHEE II is adopted to analyze the net advantages of the schemes. Finally, all of the alternative configurations are ranked according to the analysis results above. The workshop of an institute that has both research and production capabilities was used as an example to validate the effectiveness and practicability of the proposed method. The example contains 10 alternative reconfiguration schemes, and each scheme consists of six evaluation indices. The computation result shows that quantitative models of six key RMS characteristics are equipped with the ability of quantitative description of the RMS reconfiguration scheme, which gives intuitive decision-making information combined with PROMETHEE, including advantage and disadvantage between alternative schemes, for a decision-maker to select the satisfactory configuration. In addition, only a 7.2 % data loss during the evaluation data processing means the rationality of the selected evaluation index and evaluation algorithm.

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Multi-Criteria Decision Making for Plant Location Selection: An Integrated Delphi–AHP–PROMETHEE Methodology

Cited by 84 publications

References 9 publications

Optimal Site Selection of Wind-Solar Complementary Power Generation Project for a Large-Scale Plug-In Charging Station

Optimal Site Selection of Wind-Solar Complementary Power Generation Project for a Large-Scale Plug-In Charging Station

Multi-criteria decision methods for CSR management – literature review

Reconfiguration schemes evaluation based on preference ranking of key characteristics of reconfigurable manufacturing systems

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