scholarly journals Elicitation of the Factors Affecting Electricity Distribution Efficiency Using the Fuzzy AHP Method

Mathematics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 82
Author(s):  
Vecihi Yiğit ◽  
Nazlı Nisa Demir ◽  
Hisham Alidrisi ◽  
Mehmet Emin Aydin
Keyword(s):  
Crucial Role ◽  
Energy Supply ◽  
Fuzzy Ahp ◽  
Electricity Distribution ◽  
Factors Affecting ◽  
Distribution Company ◽  
And Performance ◽  
Hierarchy Process

Efficient and uninterrupted energy supply plays a crucial role in the quality of modern daily life, while it is obvious that the efficiency and performance of energy supply companies has a significant impact on energy supply itself and on determining and finetuning the future roadmap of the sector. In this study, the performance and efficiency of energy supply companies with respect to productivity is investigated with reference to a case study of an electricity distribution company in Turkey. The factors affecting the company’s performance and their corresponding weight have been determined and obtained using the analytical hierarchy process (AHP) and the Fuzzy AHP methods, two well-known multi-criteria decision-making methods, which are widely used in the literature. The results help demonstrate that the criteria obtained to evaluate the company’s energy supply performance play a crucial role in developing strategies, policies and action plans to achieve continuous improvement and consistent development.

scholarly journals Elicitation of the Factors Affecting Electricity Distribution Efficiency using Fuzzy AHP Method: A Case Study

2020 ◽  
Author(s):  
Vecihi Yigit ◽  
Nazli Nisa Demir ◽  
Hisham Alidrisi ◽  
Mehmet Emin Aydin
Keyword(s):  
Decision Making ◽  
Energy Supply ◽  
Fuzzy Ahp ◽  
Electricity Distribution ◽  
Ahp Method ◽  
Factors Affecting ◽  
The Hierarchical Structure ◽  
Distribution Company ◽  
And Performance

Energy consumption constantly increases day-by-day, which enforces suppliers and consumers in to plan the needs for the short and long terms. This obliges studying to device useful and accurate ways to predict the need for use in corresponding periods of the time. One of these fields of study is the efficient and uninterrupted energy supply over distribution infrastructures. It is obvious that the efficiency and performance of energy supply companies plays an important role in energy supply itself and has a critical value in determining and finetuning the future roadmap of the sector. In this study, the performance and efficiency of energy supply companies with respect to productivity is investigated over a case study of an electricity distribution company in Turkey. The factors affecting the company’s performance and their corresponding weights have been determined and elicited using analytical hierarchy process (AHP) and the Fuzzy AHP methods, as two well-known multi-criteria decision-making methods. The AHP method differs from other methods in that it can evaluate qualitative and quantitative expressions together, calculate the consistency rate, and show the hierarchical structure between sub-criteria and alternatives depending on the criteria. In addition, it is a decision-making method that is widely used in the literature. The Fuzzy AHP method, on the other hand, reflects the evaluations of people better than the classical AHP method and provides convenience during the evaluation. The results help demonstrate that the criteria elicited to evaluate the company’s energy supply performance plan a crucial role in developing strategies, policies and action plans to achieve continuous improvement and consistent development.

Recognizing Factors Affecting Manpower Productivity Based on Kano Model

2017 ◽  
Vol 8 (3) ◽  
pp. 1-13
Author(s):  
Nazanin Hashemi ◽  
Naser Khani
Keyword(s):  
Performance Feedback ◽  
Electricity Distribution ◽  
Kano Model ◽  
Cross Sectional ◽  
Factors Affecting ◽  
Distribution Company ◽  
Kolmogorov Smirnov ◽  
And Performance ◽  
Descriptive Survey ◽  
Smirnov Test

The main purpose of this study was to recognize, classify and determine priority of factors affecting human resource productivity in Chaharmahal and Bakhtiari Province Electricity Distribution Company using Kano model. This study is applied and is descriptive-survey research that is done cross-sectional. Sample size was estimated as 92 personnel of Chaharmahal and Bakhtiari Province Electricity Distribution Company using Morgan Table. Classified random sampling was used in order to select sample and distribute questionnaires. Questionnaire stability was calculated as 0.89 using Cranach's alpha method. Descriptive statistics, single sample Kolmogorov–Smirnov test and Friedman test. Over all, the obtained results prove that 15 out of 11 noticed factors are one- dimensional, 2 are indifferent and 2 are attractive factors. Personnel performance evaluation, meritocracy and performance feedback have first, second and third priority.

scholarly journals Modelling the Accommodation Preferences of Tourists by Combining Fuzzy-AHP and GIS Methods

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Ali Mahdi ◽  
Domokos Esztergár-Kiss
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Security Level ◽  
Analytic Hierarchy ◽  
Gis Methods ◽  
The Cost ◽  
Hierarchy Process ◽  
Combined Technique

Finding the place of accommodation is one of the most crucial issues during a journey. This study aims to support the decision-making of tourists for choosing the optimal accommodation by combining fuzzy analytic hierarchy process (FAHP) and geographic information system (GIS) techniques. The adopted criteria are the cost per room, the distance from the center, the level of security, the place rating, and the availability of free cancellation and breakfast. Due to some uncertainty and diversity of criteria, the FAHP approach is applied to consolidate tourists’ decisions by applying criteria weighting, while the GIS is used to overlay the weighted criteria and to visualize the ranked places of accommodation on a map. The combined technique is applied on a case study in Budapest City, where the analysis is conducted on 364 places of accommodation. The results show that half of the places are recommended for tourists, and more than fifth of the accommodations are highly recommended. Furthermore, it can be concluded that the cost per room was the highest influential criterion with 0.233 importance weight, followed by the security level with 0.205. The lowest factor affecting the choice of accommodation was the free cancellation service. It was demonstrated that the rating weight importance was 0.182, while the breakfast and the distance from the center had approximately the same importance. As a recommendation, some improvements on the accommodation, such as decreasing the cost per room, enhancing the services, or developing the quality of the places, would increase their attractiveness for tourists.

scholarly journals RANKING OF FACTORS AFFECTING THE MOBILIZATION OF BANK RESOURCES USING ANALYTICAL HIERARCHY PROCESS (CASE STUDY: IRANAIN HEKMAT BANK)

2019 ◽  
Vol 5 (1) ◽  
pp. 24-32
Author(s):  
Majid Hashemi Dehchi ◽  
Elnaz Nasirzadeh
Keyword(s):  
Analytical Hierarchy Process ◽  
Physical Factors ◽  
Statistical Population ◽  
Factors Affecting ◽  
Expert Choice ◽  
Number Of Factors ◽  
Hierarchy Process ◽  
Service Factors

Purpose: The purpose of this study is to identify and rank the factors affecting the resources mobilization of Iranian Hekmat Bank.Methodology: In this research, six main factors are considered in mobilizing resources and deposits of customers of the bank. The statistical population of this research is senior credits managers of Iranian Hekmat Bank. The ranking of these factors has also been done using Analytical Hierarchy Process (AHP) and Expert Choice Software (ECS).Main Findings: The results of this study showed that the factor of loyalty and organizational affiliation has the most impact on resources mobilization. Afterwards, communications and human factors, financial factors, advisory factors, service factors and physical factors are effective in mobilizing bank resources, respectively.Implications: The results of this study can be used to increase the quality of mobilization which directly affects the profitability of resources. Also this research can help other banks to absorb the financial resources and increases the level of invest in the banks. In addition it can help banks to improve their loan paying.Novelty: This research has focused on the large number of factors which can affect mobilization of bank resources which other previous researches have not addressed all these factors together. No other previous researches have focused on the strategies of fundraising, but in this research this goal has been focused.

scholarly journals Multi-criteria supplier selection using fuzzy analytic hierarchy process: case study from a Brazilian railway operator

2017 ◽  
Vol 14 (3) ◽  
pp. 428 ◽  
Author(s):  
Rodrigo Barbosa de Santis ◽  
Leonardo Golliat ◽  
Eduardo Pestana de Aguiar
Keyword(s):  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Operations Management ◽  
Supplier Selection ◽  
Standard Procedure ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
And Performance ◽  
Hierarchy Process

The supplier selection problem has been discussed in literature within the supply chain management subject and it is extremely important due to its impact on the entire supply chain configuration, strategy and performance. This work presents a decision model based on the fuzzy analytic hierarchy process method and its application in a real case of maintenance supplier selection in a large Brazilian railway operator. Eight criteria were adopted - technical capacity, financial status, relationship, operations management, security management, infrastructure, historic performance and costs - for evaluating five potential suppliers. In the case study, both first and second ranked suppliers by the method have been selected by the company for providing the services and the model was adopted as a standard procedure within the organization for contracts over US$ 300,000.

scholarly journals Decision Support System in Choosing The Quality of Charcoal Briquettes from Coconut Shell to Improve The Quality and Maximised by The Method of Analytical Hierarchy Process (the case study in Padang pariaman)

2020 ◽  
Vol 10 (2) ◽  
pp. 199-205
Author(s):  
Ilham Siregar ◽  
Wahyuni Yahyan ◽  
Danyl Mallisza
Keyword(s):  
Coconut Shell ◽  
Plant Oil ◽  
Coconut Charcoal ◽  
Alternate Choice ◽  
West Sumatra ◽  
Decision Making System ◽  
Hierarchy Process ◽  
Selection Of

The regency of Padang Pariaman is one of the centres of the plantation to the plant oil in the region of West Sumatra. Many find various types of plant oil that spread in every area. Decision-Making system (DSS) should be able to understand the problems that exist that are the basis for the decision (the decision Maker) to determine the priority of the selection and determine the type of charcoal coconut charcoal quality to be used as briquettes. This study obtained the top Level (Goal) is the selection of Charcoal Material priorities approved as the purpose of this study. The Level of the heart (the Criterion) in the hierarchy that shows the criteria that the Color of the Skin, Coconut Fiber, Coconut Shell, water Content, Coconut Meat. The lowest Level (Alternatives) in the hierarchy that shows the alternate choice of the Type of Coconut, which is helpful as briquettes, that Old Coconut, Coconut Koreang, Coconut Mudang, Young Coconut. Of the highest rank possessed by the alternatives is the type of Old Coconuts (0.600) and second by the kind of Coconut Koreang 2 (0.242), the Type of Coconut 3 Coconut Mudang (0.113) and ranking low is a Young Coconut (0.046) as a material consideration in the manufacture of charcoal quality then in the analysis, the priority is the “Old Palm”   Keywords: Coconut, Briquettes, Shell, DSS, AHP

scholarly journals Quality Management in Libraries Case Study: Book Collection Retrieval in Academic Libraries

2021 ◽  
Vol 9 (2) ◽  
pp. 182
Author(s):  
Vilianty Rizki Utami ◽  
Desni Sri Hastuti Sihite
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Comprehensive Evaluation ◽  
Case Study Method ◽  
Control Data ◽  
User Expectations ◽  
And Performance ◽  
Quality Control Data

Quality management in the library is related to quality control of the library's work to meet user expectations and contributes to the continued success of the organization. However, quality control is lacking and not be the main focus in many libraries. This paper aims to explain how quality management improves work results in libraries. The research method used in this paper is qualitative research using a case study method. We conduct research in Library X that already underwent quality control in book processing activities. The data were collected through observation, and interviews for book processing activities and its quality control data during 2018-2020. The data was then analyzed document analysis. The study found that Library X could perform better by improving the quality of book processing and fixing the error just before they put the book on its shelves. Quality control gives a comprehensive evaluation in Library X either for humans, processes, and systems of book processing activities that help Library X conduct its duty to provide their user needs and expectations. Quality control and quality management also help Library X describe the library working atmosphere and can be used for giving motivation to all librarians and staff to give better service and performance for the end-users.

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

2013 ◽  
pp. 26-44 ◽  
Author(s):  
Beyza Ahlatcioglu Ozkok ◽  
Elisa Pappalardo
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Multi Criteria Decision Making ◽  
Linguistic Variables ◽  
Analytic Hierarchy ◽  
Multi Attribute Decision Making ◽  
Electronic Parts ◽  
Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

Shipyard location selection based on fuzzy AHP and TOPSIS

2020 ◽  
Vol 39 (3) ◽  
pp. 4557-4576
Author(s):  
Abdullah Türk ◽  
Murat Özkök
Keyword(s):  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Complex Problem ◽  
Location Selection ◽  
Qualitative And Quantitative ◽  
Uncertain Structure ◽  
Multi Attribute Decision Making ◽  
Hierarchy Process ◽  
Critical Process

The shipyard facility location selection (FLS) decision is a critical process that involves conflicting, qualitative, and quantitative criteria. Multi-Attribute Decision Making (MADM) methods are used as a powerful tool to overcome this complex problem. Today, using these methods in an integrated way, more accurate, efficient, and systematic results are obtained in solving complex issues such as FLS, which contains an uncertain structure. This paper proposes a framework for the weighting of criteria and ranking potential feasible locations (alternatives) using the combination of fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) methods. While fuzzy AHP determines the importance values of the criteria by pairwise comparisons, fuzzy TOPSIS prioritizes the alternatives using the relative weights obtained with Fuzzy AHP. The integration of these two techniques provides a robust approach considering the results obtained for the shipyard FLS decision. The applicability of the proposed method is expressed in Turkey by a case study of the shipyard FLS decision.

Sign in / Sign up

Export Citation Format

Share Document