An Analytical Model for Evaluating Wind Turbine Types

2014 ◽  
Vol 543-547 ◽  
pp. 333-336 ◽  
Author(s):  
Amy H.I. Lee ◽  
Meng Chan Hung ◽  
W.L. Pearn ◽  
He Yau Kang
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Evaluation Model ◽  
Renewable Energy Sources ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Renewable Energy Resources ◽  
Network Process ◽  
Term Energy

With worldwide developments stressing the security, economy, human well-beings and environmental costs of relying heavily on fossil and nuclear energy, the demand of safe renewable energy resources is expanding consistently and tremendously in recent years. With its safe and environmental characteristics, wind energy production has become one of the fastest growing renewable energy sources in the world. While new wind power capacity is being added in more places in various countries, the installation of wind turbines is an important process for long-term energy generation. In this study, an evaluation model, which incorporates multiple criteria decision making (MCDM) methods, including decision making trial and evaluation laboratory (DEMATEL) and fuzzy analytic network process (FANP), is developed to establish interactive relationships between criteria. Fuzzy Yager ranking method is used for deffuzification. The final ranking of the alternatives is obtained, and this can provide decision-makers for references.

scholarly journals Study on the production and use of biomass energy in the Timis County

2021 ◽  
Vol 26 (2) ◽  
pp. 2434-2440
Author(s):  
CRISTINA BACĂU ◽  
◽  
NICOLETA MATEOC-SÎRB ◽  
RAMONA CIOLAC ◽  
TEODOR MATEOC ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Production ◽  
Nuclear Energy ◽  
Renewable Energy Sources ◽  
Biomass Energy ◽  
Renewable Energy Resources ◽  
Continuous Increase ◽  
Fossil Energy ◽  
Term Energy

The use of renewable energy resources is gaining more and more ground, thanks to the continuous increase in the price of fossil energy and the decrease in stocks, and the management of waste from nuclear energy production, respectively. The implementation of an energy strategy to harness the potential of renewable energy sources (RES) is part of the coordinates of Romania’s medium – and long-term energy development and provides the appropriate framework for the making of decisions on energy alternatives and the inclusion in the Community acquis in the field. In this respect, a study on the biomass potential of Timiş County and on the possibilities of producing unconventional energy from biomass has been carried out. The study is based on research, data collection from the literature, as well as from official documents or official websites, the processing and interpretation of the data and their quantitative and qualitative analysis. It was concluded that biomass is a promising renewable energy source for Romania, both in terms of potential and in terms of usability.

scholarly journals How Should National Museums Create Competitive Advantage Following Changes in the Global Economic Environment?

2018 ◽  
Vol 10 (10) ◽  
pp. 3749 ◽  
Author(s):  
Pei-Hsuan Tsai ◽  
Chin-Tsai Lin
Keyword(s):  
Decision Making ◽  
Competitive Advantage ◽  
Evaluation Model ◽  
Management Strategies ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Visitor Satisfaction ◽  
Network Process ◽  
National Museums ◽  
Decision Making Model

Management strategies play an important role in enhancing the competitive advantage and sustainable development of national museums. The purpose of this study is to focus on evaluating the management strategies of national museums to reduce the gaps in visitor satisfaction that are caused by the interdependence and feedback problems of the so-called BOCR dimensions (namely, benefits, opportunity, costs, and risks) and 24 criteria. This study creates a hybrid competitive advantage multiple-criteria decision-making model for national museums by integrating the decision-making trial and evaluation laboratory-based analytic network process and modified VIKOR (VlšeKriterijumska Optimizacija I Kompromisno Resenje) techniques to solve the problems. We consider five different types of national museums to illustrate how the proposed new evaluation model enhances the competitive advantage of national museums. Our results provide national museum curators with the knowledge and understanding to create promotional and marketing strategies that reduce the gaps in dimensions and criteria to satisfy visitors’ needs and to enhance their competitive advantage.

scholarly journals Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1164 ◽  
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Edmundas Kazimieras Zavadskas ◽  
Dalia Streimikiene
Keyword(s):  
Decision Making ◽  
Renewable Energy ◽  
Scientific Literature ◽  
Renewable Energy Sources ◽  
Multiple Criteria Decision Making ◽  
Energy Sources ◽  
Renewable Energy Technologies ◽  
Advantages And Disadvantages ◽  
Energy Technologies ◽  
Depth Analysis

Different power generation technologies have different advantages and disadvantages. However, if compared to traditional energy sources, renewable energy sources provide a possibility to solve the climate change and economic decarbonization issues that are so relevant today. Therefore, the analysis and evaluation of renewable energy technologies has been receiving increasing attention in the politics of different countries and the scientific literature. The household sector consumes almost one third of all energy produced, thus studies on the evaluation of renewable energy production technologies in households are very important. This article reviews the scientific literature that have used multiple-criteria decision-making (MCDM) methods as a key tool to evaluate renewable energy technologies in households. The findings of the conducted research are categorized according to the objectives pursued and the criteria on which the evaluation was based are discussed. The article also provides an overview and in-depth analysis of MCDM methods and distinguishes the main advantages and disadvantages of using them to evaluate technologies in households.

scholarly journals Long-Term Projection of Renewable Energy Technology Diffusion

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4261 ◽  
Author(s):  
Tadeusz Skoczkowski ◽  
Sławomir Bielecki ◽  
Joanna Wojtyńska
Keyword(s):  
Renewable Energy ◽  
Technology Diffusion ◽  
Renewable Energy Sources ◽  
Unit Cost ◽  
Learning Curves ◽  
Novel Technologies ◽  
The Future ◽  
Term Energy ◽  
The Eu

The EU aims at increasing the use of renewable energy sources (RES), mainly solar-photovoltaic (PV) and wind technologies. Projecting the future, in this respect, requires a long-term energy modeling which includes a rate of diffusion of novel technologies into the market and the prediction of their costs. The aim of this article has been to project the pace at which RES technologies diffused in the past or may diffuse in the future across the power sector. This analysis of the dynamics of technologies historically as well as in modeling, roadmaps and scenarios consists in a consistent analysis of the main parameters of the dynamics (pace of diffusion and extent of diffusion in particular markets). Some scenarios (REMIND, WITCH, WEO, PRIMES) of the development of the selected power generation technologies in the EU till 2050 are compared. Depending on the data available, the learning curves describing the expected development of PV and wind technologies till 2100 have been modeled. The learning curves have been presented as a unit cost of the power versus cumulative installed capacity (market size). As the production capacity increases, the cost per unit is reduced thanks to learning how to streamline the manufacturing process. Complimentary to these learning curves, logistic S-shape functions have been used to describe technology diffusion. PV and wind generation technologies for the EU have been estimated in time domain till 2100. The doubts whether learning curves are a proper method of representing technological change due to various uncertainties have been discussed. A critical analysis of effects of the commonly applied models for a long-term energy projection (REMIND, WITCH) use has been conducted. It has been observed that for the EU the analyzed models, despite differences in the target saturation levels, predict stagnation in the development of PV and wind technologies from around 2040. Key results of the analysis are new insights into the plausibility of future deployment scenarios in different sectors, informed by the analysis of historical dynamics of technology diffusion, using to the extent possible consistent metrics.

Integration of SWOT analysis with hybrid modified TOPSIS for the lean strategy evaluation

2016 ◽  
Vol 232 (7) ◽  
pp. 1295-1309 ◽  
Author(s):  
Suresh Prasad ◽  
Dinesh Khanduja ◽  
Surrender K Sharma
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Multiple Criteria Decision Making ◽  
Evaluation Process ◽  
Analytic Network Process ◽  
Foundry Industry ◽  
Strategy Evaluation ◽  
Network Process ◽  
Modified Topsis ◽  
Topsis Technique

This article deals with the lean strategy evaluation process using SWOT (strengths, weaknesses, opportunities and threats) analysis aimed at identifying lean strategies and providing an initial decision framework. It involves specifying the objective of the industry and identification of internal and external factors and its sub-factors and lean strategies, which are either favourable or unfavourable in the accomplishment of the stated objective. However, the SWOT analysis method does not provide an analytical method to evaluate the priorities of identified decisive strategic factors. To overcome this limitation, this article presents a case study in an Indian foundry industry using two multiple criteria decision-making methods, that is, analytic network process and modified TOPSIS (technique for order of preference by similarity to ideal solution), to provide a computable basis in determining the rank of lean strategies. In this approach, the analytic network process is used to calculate the priorities of identified SWOT factors and sub-factors and the modified TOPSIS is applied to rank the lean strategies. A sensitivity analysis is also provided to illustrate how ‘sensitive’ the proposed model is to changes in the priorities of SWOT factors. The results show that the quantitative SWOT analysis–based approach is a feasible and exceedingly capable method that provides vital sensitivity in evaluating the priorities of lean strategies for an Indian foundry industry and can also be employed as an effective method for many other complex decision-making processes.

Selecting an Advertising Agency: A Multi-Criteria Decision Making Approach

2008 ◽  
Vol 12 (4) ◽  
pp. 13-22 ◽  
Author(s):  
Mohd. Nishat Faisal ◽  
Bilal Mustafa Khan
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Advertising Agency ◽  
Product Service ◽  
Proposed Model ◽  
Network Process ◽  
Product Personality ◽  
Mcdm Method

Indian economy is evolving day by day, and with an upswing spending power of its inhabitants advertising has been emerging as one of the most effective tools for the companies to reach out to their customers. Best advertisement agencies create value through giving the product personality, developing an understanding of product/service, creating an image or memorable picture of that product and above all trying to distinguish the product apart from its competitors. Today, advertising budgets of companies are rising and thus there are numerous agencies in the market vying for their shares. But there exists no method, which can take into account numerous criterions and their impact simultaneously under consideration while selecting a best advertisement agency. Selecting an advertisement agency is a multiple criteria decision-making (MCDM) problem that requires considering large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. Analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. This paper proposes an ANP based methodology for the selection of advertisement agencies. ANP is capable of measuring the relative importance that captures all indirect interactions in a network required to be considered in an advertisement agency selection and also their interactions. Additionally, the proposed model is evaluated for a case company.

scholarly journals A Hybrid Multiple Criteria Decision Making Model for Selecting the Location of Women’s Fitness Centers

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Sen-Kuei Liao ◽  
Hsiao-Yin Hsu ◽  
Kuei-Lun Chang
Keyword(s):  
Decision Making ◽  
Selection Criteria ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Fitness Centers ◽  
Location Selection ◽  
Fuzzy Delphi ◽  
Proposed Model ◽  
Network Process

Location selection is a critical problem for businesses that can determine the success of an organization. Selecting the optimal location from a pool of alternatives belongs to a multiple criteria decision making (MCDM) problem. This study employed a hybrid MCDM technique to select locations for women’s fitness centers in Taiwan. In the beginning, the fuzzy Delphi method was utilized to obtain selection criteria from interviewed senior executives. In the second stage, the decision making trial and evaluation laboratory (DEMATEL) was employed to extract interdependencies between the selection criteria within each perspective. On the basis of interdependencies between the selection criteria, the analytic network process (ANP) was used to get respective weights of each criterion. Finally, the technique for order preference by similarity to ideal solution (TOPSIS) was ranking the alternatives. To demonstrate application of the proposed model and illustrate a location selection problem, a case was conducted. The capabilities and effectiveness of the proposed model are revealed.

scholarly journals NAVIGATING SWOT-FANP WITH GSM METHOD TO PRIORITIZE THE STRATEGIC LOCATION

2015 ◽  
Vol 21 (1) ◽  
pp. 140-163 ◽  
Author(s):  
Yun-Huei LEE
Keyword(s):  
Decision Making ◽  
Process Analysis ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Quantitative Information ◽  
Strategic Decision ◽  
Location Selection ◽  
Network Process ◽  
Second Tier ◽  
Focus Strategy

This paper proposes a SWOT-FANP (strengths, weaknesses, opportunities, and threats – fuzzy analytic network process) analysis, together with the grand strategy matrix method (GSM) to deal with the multiple-criteria decision-making problem of location selection for a second tier city in China. This hybrid method can not only combine both qualitative and quantitative information and utilize fuzzy logic to eliminate vagueness, subjectivity, and imprecision, it can also clearly represents the competitive position of second-tier cities on a the quadrant coordinate to help an enterprise choose a strategy for development. To this end, I empirically chose a multinational pharmaceutical enterprise (MNE) as an illustrative example. The results reveal that Suzhou and Chongqing cities are in the best positions in the competition as a result of having external opportunities for development and internal competing strength. Moreover, the MNE could adopt a niche-focus strategy for the market by focusing on specific ailments to which people in Chinese communities are vulnerable to strengthen their competitive strengths. This study demonstrates and validates that such an enhanced methodology is viable and highly capable of providing enriched insights regarding strategic decision-making management in complex real-world situations.

scholarly journals COMBINING DRSA DECISION-RULES WITH FCA-BASED DANP EVALUATION FOR FINANCIAL PERFORMANCE IMPROVEMENTS

2015 ◽  
Vol 22 (5) ◽  
pp. 685-714 ◽  
Author(s):  
Kao-Yi SHEN ◽  
Gwo-Hshiung TZENG
Keyword(s):  
Decision Making ◽  
Financial Performance ◽  
Evaluation Model ◽  
Decision Rules ◽  
Multiple Criteria Decision Making ◽  
Formal Concept ◽  
Performance Improvements ◽  
Soft Computing Techniques ◽  
Network Process ◽  
Managerial Implications

This study proposes a combined method to integrate soft computing techniques and multiple criteria decision making (MCDM) methods to guide semiconductor companies to improve financial performance (FP) – based on logical reasoning. The complex and imprecise patterns of FP changes are explored by dominance-based rough set approach (DRSA) to find decision rules associated with FP changes. Companies may identify its underperformed criterion (gap) to conduct formal concept analysis (FCA) – by implication rules – to explore the source criteria regarding the underperformed gap. The source criteria are analysed by decision making trial and evaluation laboratory (DEMATEL) technique to explore the cause-effect relationship among the source criteria for guiding improvements; in the next, DEMATEL-based analytical network process (DANP) can provide the influential weights to form an evaluation model, to select or rank improvement plans. To illustrate the proposed method, the financial data of a real semiconductor company is used as an example to show the involved processes: from performance gaps identification to the selection of five assumed improvement plans. Moreover, the obtained implication rules can integrate with DEMATEL analysis to explore directional influences among the critical criteria, which may provide rich insights and managerial implications in practice.

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