Prioritizing sewer rehabilitation projects using AHP-PROMETHEE II ranking method

2015 ◽  
Vol 73 (2) ◽  
pp. 283-291 ◽  
Author(s):  
Abdelhak Kessili ◽  
Saadia Benmamar
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Multiple Criteria Decision Making ◽  
Ranking Method ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
Promethee Ii ◽  
Sewer Rehabilitation ◽  
Hierarchy Process ◽  
Sewer Networks

The aim of this paper is to develop a methodology for the prioritization of sewer rehabilitation projects for Algiers (Algeria) sewer networks to support the National Sanitation Office in its challenge to make decisions on prioritization of sewer rehabilitation projects. The methodology applies multiple-criteria decision making. The study includes 47 projects (collectors) and 12 criteria to evaluate them. These criteria represent the different issues considered in the prioritization of the projects, which are structural, hydraulic, environmental, financial, social and technical. The analytic hierarchy process (AHP) is used to determine weights of the criteria and the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE II) method is used to obtain the final ranking of the projects. The model was verified using the sewer data of Algiers. The results have shown that the method can be used for prioritizing sewer rehabilitation projects.

scholarly journals Ranking of hydropower projects based on sustainability criteria in India using multicriteria decision making methods

2021 ◽  
Vol 12 (1) ◽  
pp. 75-90
Author(s):  
Anuja Shaktawat ◽  
Shelly Vadhera
Keyword(s):  
Decision Making ◽  
Sustainability Assessment ◽  
Multicriteria Decision Making ◽  
Preference Ranking ◽  
Energy Planning ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Promethee Ii ◽  
Sustainability Criteria ◽  
Hierarchy Process

Assessment of hydropower projects with respect to sustainability criteria is a multidimensional and complex issue. It requires considering technical, environmental, and social parameters instead of purely economic ones in decision making for energy planning. The flexibility to consider several criteria and objectives simultaneously leads to the use of multicriteria decision making (MCDM) methods which are well accepted in the field of energy planning. This paper aims at applying MCDM methods in facilitating the decision makers to select the most sustainable hydropower projects in the Indian region by making real and logical choices based on eight important criteria selected from the literature that are compatible with sustainable development. To comprehensively rank hydropower projects three MCDM methods are applied i.e., the technique for order of preference by similarity to ideal solution (TOPSIS), preference ranking organization method for enrichment evaluations (PROMETHEE II), and elimination and choice translating reality (ELECTRE III). Analytic hierarchy process (AHP) is used to calculate the weights of criteria. All three methods are well adapted for sustainability assessment and ranked Sharavathi (A9), Bhakra (A2), and Upper Indravati (A13) to be the most sustainable hydropower projects in India under the selected criteria. The study will be helpful in sustainable energy planning of hydropower projects with similar geographical conditions.

scholarly journals Cognitive Multiple Criteria Decision Making and the Legacy of the Analytic Hierarchy Process

2019 ◽  
Vol 36 (1) ◽  
pp. 67 ◽  
Author(s):  
José María Moreno-Jiménez ◽  
Luis G. Vargas
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Analytic Hierarchy ◽  
Sociedad Del Conocimiento ◽  
Toma De Decisiones ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Este trabajo recoge brevemente el concepto, la evolución histórica y las diferentes escuelas de una de las partes de la Investigación Operativa más fructífera y con mayor difusión de los últimos 45 años: la Decisión Multicriterio. Así mismo, analiza la evolución que el método científico ha seguido en este periodo de tiempo y cuáles son las nuevas orientaciones que presenta en el contexto de la Sociedad del Conocimiento. Finalmente, se incluyen una serie de ideas sobre cuáles pueden ser algunos de los retos futuros en el campo de la toma de decisiones multicriterio (TDMC), en particular en el contexto de una de las aproximaciones más populares: el Proceso Analítico Jerárquico (AHP). Tres problemas fundamentales, ya vislumbrados para esta escuela de pensamiento por su creador, necesitan ser abordados como futuros retos en el campo multicriterio. Este trabajo se ha dedicado a la memoria del profesor Thomas L. Saaty, el autor de AHP y uno de los matemáticos más brillantes e ingeniosos de los últimos 60 años, quien acaba de fallecer en agosto de 2017 a los 91 años de edad.

Use of the Analytic Hierarchy Process for Selecting Automated Manufacturing Systems

1993 ◽  
Vol 13 (8) ◽  
pp. 45-57 ◽  
Author(s):  
R.P. Mohanty ◽  
Sitalakshmi Venkataraman
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Manufacturing Systems ◽  
Multiple Criteria Decision Making ◽  
Social Impacts ◽  
Multiple Criteria ◽  
Automated Manufacturing ◽  
Automated Manufacturing Systems ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Studies the justification problems of automated manufacturing systems (AMS) by using a multiple‐criteria decision making (MCDM) approach such as analytic hierarchy process (AHP). An example from Indian manufacturing has been studied. Strategic, technological and social impacts have been considered for justifying AMS and decomposing these factors into several possible attributes.

The use and comparison of a deterministic, a stochastic, and a hybrid multiple-criteria decision-making method for site selection of wind power plants: An application in Turkey

2019 ◽  
Vol 44 (1) ◽  
pp. 60-74
Author(s):  
Emin Sertaç Arı ◽  
Cevriye Gencer
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Wind Power ◽  
Site Selection ◽  
Power Plants ◽  
Multiple Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Wind Power Plants ◽  
Simulation Based ◽  
Hierarchy Process

Clean domestic energy is an attractive option, especially for developing countries. Wind has been one of the most appealing renewable energy sources for those as of the beginning of the 20th century. This study focuses on an important work item of the establishment phase of this important energy source: power plant site selection. Three approaches were examined based on multiple-criteria decision-making methods. Stochastic multi-criteria acceptability analysis (a simulation-based approach with different kinds of uncertain information), analytic hierarchy process (a conventional deterministic approach), and AHP-SMAA (a hybrid approach) were applied separately in Turkey. In terms of novelty, analyses were conducted both with (analytic hierarchy process) and without (stochastic multi-criteria acceptability analysis) the preference information of the decision makers. The unique hybrid method integrates stochastic multi-criteria acceptability analysis with analytic hierarchy process to allow the simulation-based experiments with deterministic variables. As a result of the approaches, the same region (Burhaniye-Pelitköy) showed up as the optimal site to establish wind power plants at every turn. The techniques are globally applicable as long as the computational data and all parameters are gathered completely.

scholarly journals Evaluate and Rank the Smartphone Brand Using Fuzzy AHP and PROMETHEE

2019 ◽  
Vol 14 (2) ◽  
pp. 44-51
Author(s):  
Diana Sirmayunie Mohd Nasir ◽  
Nurshahira Zawawi ◽  
Suzanawati Abu Hasan
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Decision Makers ◽  
Preference Ranking ◽  
Analytic Hierarchy ◽  
System Memory ◽  
Future Work ◽  
Hierarchy Process ◽  
Selection Of

A buying decision process is one of the Multi-Criteria Decision Making (MCDM) problems faced by everyone in daily life. One example is the selection of smartphones brand in the market. Thus, the study is conducted to evaluate the most effective criteria for buying smartphones and to rank the people's preferences on smartphone based on its brand. Six criteria (price, operating system, memory, display, camera and battery) and three alternatives which are the smartphone brands (Oppo, Samsung and Apple) were chosen in the study. Two main processes were involved, which are 1) evaluate the smartphone criteria using Fuzzy Analytic Hierarchy Process (AHP) and 2) ranking the brand using Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE). Surveys and questionnaires were conducted and evaluated by decision makers who are the smartphone's users. The result showed storage memory is considered as prominent criteria in choosing a smartphone meanwhile the consumers firstly prefer Oppo, secondly Apple and thirdly Samsung. Future work in this study may use other alternatives to be ranked by considering other top models as well. Keywords: Multiple criteria decision making, smartphone brand, Fuzzy AHP, Fuzzy PROMETHEE  

scholarly journals Proposal for suppliers evaluation using the integration of AHP/QFD methods

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Juliane Carolina Galiotto ◽  
Ricardo Augusto Cassel
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Relative Weight ◽  
Multiple Criteria Decision Making ◽  
Point Of View ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Hierarchy Process ◽  
A Company

Abstract The present work has as main objective the development and presentation of a model for supplier’s evaluation. The proposed model includes the criteria of the lean concept and provides a comprehensive analysis for decision-making in the area of supplies. The work involved 05 steps: (i) identify and select the main criteria for lean suppliers management; (ii) perform the weighting of criteria using the AHP (Analytic Hierarchy Process); (iii) define the indicators to be used for the suppliers analysis in every sub-criteria; (iv) calculate the relative weight of each indicator through the analysis of interdependence between the sub-criteria and indicators; (v) testing partially the model through the application of the same in a product group in the reality of a company. The main contribution of this paper is to propose a model that combines the method AHP (Analytic Hierarchy Process) used for multiple criteria decision-making method with QFD (Quality Function Deployment) able to translate these criteria in guidelines for the supply management. From a practical point of view, the importance of this article is to present a relatively simple model for the systematization of building supply indicators. The obtained results recommend the use of this template.

scholarly journals Avaliação da qualidade dos serviços por meio do fuzzy multiple criteria decision making (MCDM)

Exacta ◽  
2018 ◽  
Vol 16 (1) ◽  
Author(s):  
Nara Medianeira Stefano ◽  
Nelson Casarotto Filho ◽  
Raul Otto Laux ◽  
Sidnei Gripa
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Santa Catarina ◽  
Analytic Hierarchy ◽  
Hierarchy Process

 A qualidade dos serviços é uma construção abstrata e indescritível devido a três características: intangibilidade, inseparabilidade de produção e consumo e, heterogeneidade. Dessa forma, define-se a qualidade dos serviços como aquela percebida pelo cliente. Neste contexto, este trabalho teve o objetivo de avaliar a qualidade dos serviços em um hotel de grande porte localizado em Santa Catarina – Brasil, contando com a participação de 187 hóspedes. Utilizou-se o método Servqual para coletar os dados em um questionário baseado nas dimensões da qualidade. Para o cálculo dos pesos da expectativa e da percepção foi utilizado o método Fuzzy AHP (Analytic Hierarchy Process - FAHP). Como resultado, são apresentados os aspectos onde a expectativa dos hóspedes em relação ao serviço prestado é maior do que a realidade encontrada, permitindo, dessa forma, que a empresa alinhe de forma estratégica seus futuros investimentos.  

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