scholarly journals Multi-Criteria Examination of Power-to-Gas Pathways under Stochastic Preferences

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3151 ◽  
Author(s):  
Sean Walker ◽  
Suadd Al-Zakwani ◽  
Azadeh Maroufmashat ◽  
Michael Fowler ◽  
Ali Elkamel
Keyword(s):  
Peak Power ◽  
Multiple Criteria ◽  
Analysis Tool ◽  
Analytic Hierarchy ◽  
Policy Makers ◽  
Renewable Power ◽  
Criteria Weights ◽  
Power To Gas ◽  
Renewable Energy Generation ◽  
Hierarchy Process

Power-to-gas is an energy storage and vector technology which can utilize off-peak power, assist in the integration of renewable power and provide needed fuel for industry and transportation. Further, power-to-gas is a useful technology for balancing surplus baseload and renewable energy generation with demand. There are numerous applications of power-to-gas in Europe, where renewable power is used to generate hydrogen for numerous applications. Examining each of these power-to-gas pathways across quantitative and qualitative criteria, this paper utilizes the stochastic fuzzy analytic hierarchy process to determine criteria weights. These weights are then fed to a multiple criteria decision analysis tool to determine the viability of each pathway for investors and policy makers. A sensitivity analysis is carried out by reprioritizing the criteria and re-evaluating the multiple criteria analysis. The two pathways that score highest under multiple criteria rankings are power-to-gas to mobility-fuel and power-to-gas-to-power, due to their established technologies, lower costs and environmental performance. By extension, both of these power-to-gas pathways are the most appropriate ways for this technology to be implemented, due to their combination of public familiarity, emissions reductions, and developed, available technologies.

A novel MCDM model for prioritizing the renewable power plants’ construction

2019 ◽  
Vol 30 (2) ◽  
pp. 383-399 ◽  
Author(s):  
Fatima Sedady ◽  
Mohammad Ali Beheshtinia
Keyword(s):  
Power Plants ◽  
Environmental Aspects ◽  
Tidal Power ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Renewable Power ◽  
Comparison Results ◽  
Criteria Weights ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Purpose The purpose of this paper is to propose a new multi-criteria decision making (MCDM) technique to determine the priority of renewable power plants construction conceding technical, economic, social, political and environmental aspects. Design/methodology/approach First, a comprehensive set of 5 main criteria of technical, economic, social, political and environmental are considered for renewable power plants construction, each including 5 sub-criteria (a total of 25 sub-criteria). Then, the analytic hierarchy process method is used to determine the weight of the criteria. Finally, a new MCDM technique proposed to prioritize the construction of renewable power plants, named TOPKOR. To demonstrate the capability of the proposed method, a case study is conducted in which six types of renewable power plants are evaluated. Findings Comparison results of the main criteria weights show that the “economic” [0.403], “environmental” [0.296] and “technical” [0.17] aspects have the highest importance, respectively. The results also show that solar, hydroelectric and wave and tidal power plants have the highest priority for construction, respectively. Research limitations/implications The result of this research could be useful for related decision makers in construction of the renewable power plants to have a comprehensive set of criteria in technical, economic, social, political and environmental aspects in their decision process. Originality/value This research provides a comprehensive set of criteria and sub-criteria for prioritizing the renewable power plants. Moreover, a new hybrid MCDM technique is introduced for prioritizing the construction of power plants.

scholarly journals Selection of the best consultant for SAP ERP project using combined AHP-IBA approach

2014 ◽  
Vol 24 (3) ◽  
pp. 383-398 ◽  
Author(s):  
Natasa Martinovic ◽  
Boris Delibasic
Keyword(s):  
Project Manager ◽  
Multiple Criteria ◽  
Multiple Criteria Decision Analysis ◽  
Decision Making Process ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Criteria Weights ◽  
The One ◽  
Hierarchy Process ◽  
Selection Of

In this paper we propose a combined AHP-IBA model for selecting the best SAP consultant for an SAP ERP project. The goal of the SAP Project Manager is to choose the best consultant, the one who is able to implement standard SAP functionalities with quality and on time. When making a decision on the basis of multiple criteria, the traditional Analytic Hierarchy Process (AHP) method does not take into account the fact that attributes may correlate, assuming that there are no dependencies between them. However, the dependencies of the attributes can often be used to model important knowledge for multiple criteria decision analysis. We propose an extension to the traditional AHP method by applying Interpolative realization of Boolean algebra (IBA), using AHP to determine the criteria weights, and IBA to model the logical interactions among criteria. The research conducted on ERP consultant selection suggests that the decision making process is modelled more accurately if logical interactions between attributes are modelled before applying AHP.

Using Analytic Hierarchy Process to Optimize PESTEL Scenario Analysis Tool in Huge Construction Projects

2017 ◽  
Vol 865 ◽  
pp. 707-712 ◽  
Author(s):  
José Geraldo Lamas Leite ◽  
Luiz Carlos Brasil de Brito Mello ◽  
Orlando Celso Longo ◽  
Eduardo Picanço Cruz
Keyword(s):  
Analytic Hierarchy Process ◽  
Scenario Analysis ◽  
Exploratory Study ◽  
Construction Projects ◽  
Pareto Distribution ◽  
Civil Engineering ◽  
Analysis Tool ◽  
Analytic Hierarchy ◽  
Engineering Construction ◽  
Hierarchy Process

This paper uses the Analytic Hierarchy Process to optimize the PESTEL analysis. The scenario: pre-construction and assembly factors of huge civil engineering construction projects. Several managers use too many criteria to evaluate large projects. It suggests that there may be few important criteria that summarize the manager's preference. To demonstrate the feasibility of the proposed hypothesis, the authors prepared a qualitative and exploratory study. Conclusions are based on the judgment of an expert interviewed. As expected, the hypothesis was considered plausible. Two main criteria corresponded to 71% of the expert's preference. The result resembles a Pareto distribution.

scholarly journals Identifying and Prioritizing Educational Needs of Female Adolescents in Relation to Healthy Eating Based on Analytic Hierarchy Process Model

2016 ◽  
Vol 9 (2) ◽  
pp. 223 ◽  
Author(s):  
Saeed Mazloomi Mahmoodabad ◽  
Akram Mehrabbeyk ◽  
Hassan Mozaffari-Khosravi ◽  
Hossein Fallahzadeh
Keyword(s):  
Fast Food ◽  
Process Model ◽  
Eating Habits ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Female Adolescents ◽  
Analytic Hierarchy ◽  
Eating Breakfast ◽  
Eating Fast ◽  
Hierarchy Process

<p>In order to better plan health based interventions, educators and health promoters need to make decisions in this regard. In the meantime, it should be noted that, multiple criteria decision making methods with theoretical roots and accuracy of forecasting results are less considered.</p><p>The current study is a descriptive research carried out on 15 experts working in Yazd Health Centers using purposeful sampling. In order to identify wrong eating habits of students, Delphi method is used. In the next step, these habits are compared, one by one, and scored with Analytical Hierarchy Process (AHP) Model. In the end, data are analyzed using Expert Choice 11 software.</p><p>Seven major wrong eating habits of female adolescents are identified: junk food consumption, drinking soda and sweet drinks, eating fast food, deleting main meals, improper diets, low intake of vegetables, and not eating breakfast. Among these, low intake of vegetables, eating fast food, and not eating breakfast, with weight rate of 32.4%, 19.4% and 19.3%, are specified as the first three priorities of education.</p><p>In various fields of education and health promotion, including prioritizing training needs, employing techniques with potentials of assessing multiple criteria at the same time can be highly efficient. </p>

scholarly journals A COMBINED FUZZY MCDM APPROACH FOR IDENTIFYING THE SUITABLE LANDS FOR URBAN DEVELOPMENT: AN EXAMPLE FROM BANDAR ABBAS, IRAN

2014 ◽  
pp. 11-27 ◽  
Author(s):  
Mohsen Dadras ◽  
Helmi Zulhaidi Mohd Shafri ◽  
Noordin Ahmad ◽  
Biswajeet Pradhan ◽  
Sahabeh Safarpour
Keyword(s):  
Urban Development ◽  
Iraq War ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Analytic Hierarchy ◽  
The Past ◽  
Criteria Weights ◽  
Bandar Abbas ◽  
Hierarchy Process ◽  
The City

This study aims at identifying the suitable lands for urban development in Bandar Abbas city based on its real world use regarding specific criteria and sub-criteria. The city of Bandar Abbas is considered as the most important commercial and economic city of Iran. It is also considered as one of the major cities of Iran which has played a pivotal role in the country's development and progress in recent years especially after the end of Iran-Iraq war owing to its embracing the country's main commercial ports. This process has caused the immigration rate into the city to rise significantly over the past 20 years. Thus, the development of the city is meanwhile considered as a high priority. Bandar Abbas city does not have a rich capacity for growth and development due to its special geographical situation being located in coastal border. Among the limitations placed in the city's development way, natural limitations (heights and sea shore) in the northern and southern parts of the city and structural limitations (military centers) in the east and west sides of the city may be referred. Therefore, identifying the suitable lands for urban development within Bandar Abbas city limits is becoming an essential priority. Therefore, different quantitative and qualitative criteria have been studied in order to select and identify these lands. The structures of qualitative criteria for most parts involve ambiguities and vagueness. This leads us to use Fuzzy logic in this study as a natural method for determining the solutions for problems of Multi-criteria decision making (MCDM). In the current research, a combination of MCDM methods has been presented for analysis. To assignee weights of the criteria Fuzzy AHP (analytic hierarchy process) is used for land selection and Fuzzy TOPSIS (method for order priority by similarity to ideal solution) is utilized to choose the alternative that is the most appropriate through these criteria weights. The sensitivity analysis of the results is included in the research.

Determinant Factors of Trade Industry Performance in Indonesia: AHP Approach

2017 ◽  
Vol 2 (2) ◽  
pp. 01-08
Author(s):  
Malik Cahyadin ◽  
Sutomo Sutomo ◽  
Lely Ratwianingsih
Keyword(s):  
Business Performance ◽  
Jel Classification ◽  
Primary Data ◽  
Analytic Hierarchy ◽  
Policy Makers ◽  
Determinant Factors ◽  
Traditional Markets ◽  
Industry Performance ◽  
Business Efficiency ◽  
Hierarchy Process

Objective - This research analyses determinant factors and priority factors of trade industry performance based on 15 industries in Indonesia. Today, trade industry tends to develop well in Indonesia. It covers exporters, importers, modern markets (hypermarket and minimarket), and traditional markets. Methodology/Technique - This research uses Analytic Hierarchy Process (AHP) to analyse primary data on factors of trade industry performance. Findings - Research results indicate that there are seven factors on trade industry performance. These are NF (AHP score: 0.37), ICT (0.19), BIT (0.10), BR (0.10), BP (0.09), DC (0.08), and BE (0.07). It means that number of firm becomes the first factor while business efficiency becomes the last factor that drives business performance. Novelty - This finding can be used by trade industry associations and policy makers to manage and regulate firms involved in commerce. In addition, governments can support ICT development to improve trade industry performance. Type of Paper: Empirical Keywords: Determinant Factor; Trade Industry; Business Performance; AHP. JEL Classification: L11, L25.

Stochastic KEMIRA-M Approach with Consistent Weightings

2019 ◽  
Vol 18 (03) ◽  
pp. 793-831 ◽  
Author(s):  
Pelin Toktaş ◽  
Gülin Feryal Can
Keyword(s):  
Stochastic Process ◽  
Universal Design ◽  
Evaluation Process ◽  
Decision Makers ◽  
Shopping Malls ◽  
Analytic Hierarchy ◽  
Discrete Uniform Distribution ◽  
Criteria Weights ◽  
Discrete Uniform ◽  
Hierarchy Process

This study proposes an advanced Modified KEmeny Median Indicator Rank Accordance (KEMIRA-M) approach based on stochastic evaluation process considering consistent weights to improve effective usage of KEMIRA-M. In the proposed approach, tasks related to the decision issue are performed by decision makers to ensure the understanding sufficiency of alternatives in terms of criteria more clearly. The weighting procedure of Analytic Hierarchy Process (AHP) is implemented in a stochastic manner benefited from discrete uniform distribution to provide obtaining consistent criteria weights considering median priority components. Therefore, different trials including different number of replications that shows the number of decision makers are performed and the most consistent weightings are determined for each trial in the stochastic process. In this way, the dependency to the limited numbers of decision makers and to determine criteria weights in a heuristic manner in KEMIRA-M is prevented. Additionally, the effect of the number of decision makers on criteria weightings and alternatives’ ranking process is shown. To obtain the most consistent weighting results, this stochastic process is utilized until acquiring approximate consistency ratios. The proposed stochastic KEMIRA-M approach is utilized to rank nine shopping malls (SMs) in Ankara in terms of technical criteria (TC) and universal design criteria (UDC). It was seen from the ranking results that the first SM (SM1) is the best one.

scholarly journals Multi Criteria Evaluation Framework for Prioritizing Indian Railway Stations Using Modified Rough AHP-Mabac Method

2018 ◽  
Vol 19 (2) ◽  
pp. 113-127 ◽  
Author(s):  
Haresh Kumar Sharma ◽  
Jagannath Roy ◽  
Samarjit Kar ◽  
Olegas Prentkovskis
Keyword(s):  
Multiple Criteria Decision Making ◽  
Evaluation Process ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Railway Stations ◽  
Validity Testing ◽  
Multi Criteria Evaluation ◽  
Criteria Weights ◽  
Indian Railway ◽  
Hierarchy Process

Abstract This study proposes a hybrid multiple criteria decision making (MCDM) methodology for evaluating the performance of the Indian railway stations (IRS). Since the customers are heterogeneous and their requirements are often imprecise, the evaluation process is a critical step for prioritizing the IRS. To improve the existing approaches, an efficient evaluation technique has been proposed by integrating rough numbers, analytic hierarchy process (AHP) and multi-attribute border approximation area comparison (MABAC) methods in rough environment. The relative criteria weights based on their preferences given by experts is determined by rough AHP whereas evaluation of the alternatives based on these criteria are done by the modified rough MABAC method. A case study of prioritizing different railway stations in India is provided to demonstrate the efficiency and applicability of the proposed method. Among different criteria “proactively” is observed to be the most important criteria in our analysis, followed by ‘Railfanning’ and ‘DMO’ is found to be the best among the forty IRS in this study. Finally, a comparative analysis and validity testing of the proposed method are elaborated and the methodology provides a standard to select IRS on the basis of different criteria.

Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method

2015 ◽  
Vol 32 (7) ◽  
pp. 763-782 ◽  
Author(s):  
Hu-Chen Liu ◽  
Jian-Xin You ◽  
Xue-Feng Ding ◽  
Qiang Su
Keyword(s):  
Decision Making ◽  
Failure Modes ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Analytic Hierarchy ◽  
Effect Analysis ◽  
Maintenance Strategies ◽  
Content Type ◽  
Safety And Reliability ◽  
Hierarchy Process

Purpose – The purpose of this paper is to develop a new failure mode and effect analysis (FMEA) framework for evaluation, prioritization and improvement of failure modes. Design/methodology/approach – A hybrid multiple criteria decision-making method combining VIKOR, decision-making trial and evaluation laboratory (DEMATEL) and analytic hierarchy process (AHP) is used to rank the risk of the failure modes identified in FMEA. The modified VIKOR method is employed to determine the effects of failure modes on together. Then the DEMATEL technique is used to construct the influential relation map among the failure modes and causes of failures. Finally, the AHP approach based on the DEMATEL is utilized to obtain the influential weights and give the prioritization levels for the failure modes. Findings – A case study of diesel engine’s turbocharger system is provided to illustrate the potential application and benefits of the proposed FMEA approach. Results show that the new risk priority model can be effective in helping analysts find the high risky failure modes and create suitable maintenance strategies. Practical implications – The proposed FMEA can overcome the shortcomings and improve the effectiveness of the traditional FMEA. Particularly, the dependence and interactions between different failure modes and effects have been addressed by the new failure analysis method. Originality/value – This paper presents a systemic analytical model for FMEA. It is able to capture the complex interrelationships among various failure modes and effects and provide guidance to analysts by setting the suitable maintenance strategies to improve the safety and reliability of complex systems.

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