Ayağ, Zeki

Profile Picture
Profile URL
https://hdl.handle.net/20.500.12469/6974
Name Variants
Ayağ, Zeki
Z.,Ayağ
Z. Ayağ
Zeki, Ayağ
Ayag, Zeki
Z.,Ayag
Z. Ayag
Zeki, Ayag
Ayağ,Z.
Zeki Ayağ
Job Title
Prof. Dr.
Email Address
Zekı[email protected]
Main Affiliation
Industrial Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID

Sustainable Development Goals

NO POVERTY1
NO POVERTY
0
Research Products
ZERO HUNGER2
ZERO HUNGER
0
Research Products
GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
0
Research Products
QUALITY EDUCATION4
QUALITY EDUCATION
0
Research Products
GENDER EQUALITY5
GENDER EQUALITY
0
Research Products
CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
0
Research Products
AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
6
Research Products
DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
2
Research Products
INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
8
Research Products
REDUCED INEQUALITIES10
REDUCED INEQUALITIES
0
Research Products
SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
0
Research Products
CLIMATE ACTION13
CLIMATE ACTION
0
Research Products
LIFE BELOW WATER14
LIFE BELOW WATER
0
Research Products
LIFE ON LAND15
LIFE ON LAND
0
Research Products
PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output

45

Articles

31

Views / Downloads

369/5045

Supervised MSc Theses

5

Supervised PhD Theses

1

WoS Citation Count

1030

Scopus Citation Count

1488

Patents

0

Projects

0

WoS Citations per Publication

22.89

Scopus Citations per Publication

33.07

Open Access Source

22

Supervised Theses

6

JournalCount
Journal of Intelligent & Fuzzy Systems5
Journal of Intelligent Manufacturing5
International Journal of Energy Sector Management2
International Journal of Intelligent Computing and Cybernetics2
IIE Annual Conference and Expo 2010 Proceedings -- IIE Annual Conference and Expo 2010 -- 5 June 2010 through 9 June 2010 -- Cancun -- 1049672
Current Page: 1 / 6

Scopus Quartile Distribution

Competency Cloud

GCRIS Competency Cloud

Filters

Reset filters

Settings

Scholarly Output Search Results

Now showing 1 - 10 of 45
  • Thumbnail Image
    Article
    Citation - WoS: 49
    Citation - Scopus: 64
    An Intelligent Approach To Machine Tool Selection Through Fuzzy Analytic Network Process
    (Springer, 2011) Ayağ, Zeki; Özdemir, Rıfat Gürcan
    In this study we utilize analytic network process (ANP) a more general form of AHP for justifying stand-alone machine tools out of available alternatives in market due to the fact that AHP cannot accommodate the variety of interactions dependencies and feedback between higher and lower level elements. However due to the vagueness and uncertainty on judgments of a decision-maker the crisp pair wise comparison in the conventional ANP seems to be insufficient and imprecise to capture the right judgments of the decision-maker. That is why also in this paper fuzzy number logic is introduced in the pair wise comparison of ANP to make up for this deficiency in the ANP. In short here an intelligent approach to machine tool selection (MTS) problem through fuzzy ANP is proposed to improve the imprecise ranking of company's requirements which is based on the conventional ANP. In order to reach to final solution a preference ratio (PR) analysis is done by using the results of the fuzzy ANP and investment costs of alternatives. In addition a numerical example is presented to illustrate the proposed approach.
  • Thumbnail Image
    Article
    Citation - WoS: 23
    Citation - Scopus: 26
    Concept Selection With Hesitant Fuzzy Anp-Promethee Ii
    (Taylor & Francis Ltd, 2021) Samanlıoğlu, Funda; Ayag, Zeki
    An integrated approach is given for the assessment and ranking of concepts as part of the new product development (NPD) process. Selection of the best concept in NPD involves multiple criteria decision-making (MCDM) since there are numerous possibly competing criteria to consider. Here, hesitant fuzzy Analytic Network Process (H-F-ANP) and hesitant fuzzy Preference Ranking Organization Method for Enriching Evaluations II (H-F-PROMETHEE II) are integrated to assess the concepts and determine the best. In the hesitant fuzzy ANP-PROMETHEE II (H-F-ANP-PROMETHEE II), H-F-ANP is applied to calculate criteria weights, taking into consideration inner and outer dependence and feedback interactions between criteria and H-F-PROMETHEE II is implemented to rank concept alternatives, employing the calculated criteria weights. A demonstrative example is given where five concepts are evaluated by three decision makers (DMs) to exhibit the applicability. For comparison, H-F-ANP-VIKOR is utilized.
  • Thumbnail Image
    Article
    Citation - WoS: 16
    Citation - Scopus: 23
    An Integrated Approach To Evaluating Assembly-Line Design Alternatives With Equipment Selection
    (Taylor & Francis Ltd, 2011) Özdemir, Rıfat Gürcan; Ayağ, Zeki
    The design and implementation of assembly-line systems have been critical issues for companies since the first assembly-line was started at the Ford Highland Plant in 1913. From that time onwards most companies have met with various problems at the design and implementation stages of assembly-line systems two of which are the allocation of different work elements to various workstations and the proper equipment selection for workstations. Therefore in this article to overcome both the above-mentioned problems we propose an integrated approach in which a branch and bound algorithm and the analytic hierarchy process (AHP) method are used together. First the branch and bound algorithm is used to generate a list of assembly-line design alternatives. Then the generated alternatives are evaluated using the AHP method to determine an optimum solution (the best alternative) at minimum equipment cost. The AHP method is one of the most commonly used multiple-criteria decision-making methods in the literature and evaluates both qualitative and quantitative evaluation criteria represented in a hierarchical form. The proposed approach is also illustrated on a sample case study.
  • Thumbnail Image
    Article
    Citation - WoS: 71
    Citation - Scopus: 99
    Evaluating Machine Tool Alternatives Through Modified Topsis and Alpha-Cut Based Fuzzy Anp
    (Elsevier Science Bv, 2012) Ayağ, Zeki; Özdemir, Rıfat Gürcan; Gürcan Özdemir, Rifat
    The problem of machine tool selection among available alternatives has been critical issue for most companies in fast-growing markets for a long time. In the presence of many alternatives and selection criteria the problem becomes a multiple-criteria decision making (MCDM) machine tool selection problem. Therefore most companies have utilized various methods to successfully carry out this difficult and time-consuming process. In this work both of the most used MCDM methods the modified TOPSIS and the Analytical Network Process (ANP) are introduced to present a performance analysis on machine tool selection problem. The ANP method is used to determine the relative weights of a set of the evaluation criteria as the modified TOPSIS method is utilized to rank competing machine tool alternatives in terms of their overall performance. Furthermore in this paper we use a fuzzy extension of ANP a more general form of AHP which uses uncertain human preferences as input information in the decision-making process because AHP cannot accommodate the variety of interactions dependencies and feedback between higher and lower level elements. Instead of using the classical eigenvector prioritization method in AHP only employed in the prioritization stage of ANP a fuzzy logic method providing more accuracy on judgments is applied. The resulting fuzzy ANP enhances the potential of the conventional ANP for dealing with imprecise and uncertain human comparison judgments. The proposed approach is also applied for a real-life case in a company. (C) 2012 Elsevier B.V. All rights reserved.
  • Thumbnail Image
    Article
    Citation - WoS: 2
    Citation - Scopus: 2
    A Hesitant Fuzzy Linguistic Terms Set-Based Ahp and Topsis Methodology for Fuel Coal Type Selection Problem of Industrial Facilities
    (Old City Publishing, 2024) Yucekaya, A.; Ayağ, Z.
    Coal is still used widely by both industrial facilities and coal fired power plants. Lignite, hard coal, coke, and imported coal are some alternatives. The coal has ash content, moisture content, heat rate, volatile matter, carbon content, sulphur content, and size that need to be considered as well as price. The suppliers provide coal products for each coal type, and the most appropriate coal product needs to be selected considering different parameters. Therefore, in this paper, a hesitant fuzzy linguistic term sets-based AHP (HFLTS-AHP) and TOPSIS method are used to select the best coal type alternative for industrial facilities. As the HFLTS-AHP is used to weight the evaluation criteria, TOPSIS is utilized to rank the fuel coal type alternatives. The proposed methodology offers an innovative and novel approach to help industrial facilities select the appropriate coal product while balancing the outputs, such as carbon, sulphur, ash content, and so on. In another point of view, the motivation of this research is to help industrial firms find out the ultimate fuel coal alternative based on their needs. This objective is realized using the proposed approach that integrates the HFLTS-AHP and TOPSIS approaches for the related problem, also utilizing group decision making. Moreover, this approach is concreted by an Excel template that provides an effective tool for firms to realize the evaluation process without many tiresome fuzzy comparisons and complex calculations. Furthermore, in the paper, a real-life case study in Turkish industrial facilities is presented to demonstrate the effectiveness and applicability of the proposed approach to readers and practitioners. In this case, seven coal type options are evaluated in terms of eight criteria by three decision makers, and the best coal type alternative is determined. © 2024 Old City Publishing, Inc.
  • Thumbnail Image
    Book Part
    Citation - Scopus: 15
    'they Wrote History With Their Bodies': Necrogeopolitics, Necropolitical Spaces and the Everyday Spatial Politics of Death in Turkey
    (Edinburgh University Press, 2019) Yanik, L.K.; Hisarlioğlu, F.
    [No abstract available]
  • Thumbnail Image
    Article
    Citation - WoS: 12
    Citation - Scopus: 18
    A Combined Fuzzy Ahp-Goal Programming Approach To Assembly-Line Selection
    (IOS Press, 2007) Ayağ, Zeki; Özdemir, Rıfat Gürcan; Aya, Zeki
    In mass production assembly-line balancing (ALB) problem has been a critical and repetitive issue for companies for long time. On the other hand equipment selection for stations has also been another important problem at the design stage of an assembly-line system. In this paper both problems are handled simultaneously. Therefore first goal programming (GP) method a well-suited technique is used to develop a preemptive formulation to joint both of the problems when the nature of the problem consists of several conflicting objectives and some mathematical constraints on solutions. Second an AHP method based on fuzzy scales which is incorporated with the GP is also used due to the fact that it takes both qualitative and quantitative judgments of decision-maker(s) into consideration to rank the equipment alternatives for stations by weight. The fuzzy AHP as one of the most commonly used multiple-criteria decision making (MCDM) methods has been effectively used for more than decade in both academic research and practice and takes the vagueness and uncertainty on judgments of decision-maker(s) into consideration due to the fact that the crisp pairwise comparison in the conventional AHP seems to insufficient and imprecise to capture the right judgments of decision-maker(s). In short in this study a combined fuzzy AHP-GP approach is proposed to evaluating assembly-line design alternatives with equipment selection. An integer GP formulation is constructed which also uses the fuzzy AHP scores of equipment alternatives and employs them as one of the goals. Then the mathematical model is solved to find out the ultimate alternative in terms of the minimized equipment cost and the maximized preference measures of decision-maker(s). The proposed approach is also illustrated on a sample case study.
  • Thumbnail Image
    Article
    Citation - WoS: 43
    Citation - Scopus: 51
    A Fuzzy Qfd Approach To Determine Supply Chain Management Strategies in the Dairy Industry
    (Springer, 2013) Ayağ, Zeki; Samanlıoğlu, Funda; Büyükozkan, Gülçin
    The aim of this study is to identify the crucial logistics requirements and supply chain management (SCM) strategies for the dairy industry. For product or service development quality function deployment (QFD) is a useful approach to maximize customer satisfaction. The determination of design requirements and supply chain management strategies are important issues during QFD processes for product or service design. For this reason a fuzzy QFD methodology is proposed in this study to determine these aspects and to improve customer satisfaction. Qualitative information is converted firstly into quantitative parameters and then this data is combined with other quantitative data to parameterize two multi-objective mathematical programming models. In the first model the most important logistic requirements for the company are determined based on total technical importance total cost total feasibility and total value increment objectives and in the second model based on these objectives appropriate supply chain management strategies are determined. Finally a case study from the Turkish dairy industry is given to illustrate the proposed approach.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 3
    Analytic Network Process (anp) for Solar Power Plant Location Problem
    (Institute of Industrial Engineers, 2010) Ayağ, Zeki; Samanlıoğlu, Funda
    Solar energy is the most readily available source of energy and one of the most important sources of the renewable energy because it is non-polluting and helps in lessening the greenhouse effect. Main problem of establishing a solar power plant is to determine its location. In the presence of many location alternatives and evaluation criteria a multiple-criteria decision making problem arises. In this work the location problem will be solved by using Analytic Network Process (ANP) to figure out the most satisfying alternative. A numerical example is also included to show the proposed methodology in Turkey.
  • Thumbnail Image
    Article
    Citation - WoS: 44
    Citation - Scopus: 54
    An Integrated Approach To Concept Evaluation in a New Product Development
    (Springer, 2016) Ayağ, Zeki
    A new product development (NPD) process can be thought as a comprehensive process in which the design is progressively detailed through a series of phases. At the end of each phase a design review is held to approve the design and release or not it to the next level. As one of these phases concept selection aiming to select the most appropriate concept for further development is conducted earlier in the process. As the further development progresses on a selected concept it becomes more difficult to make design changes in terms of cost and schedule dimensions and therefore selecting the best concept among a set of available alternatives has been an important issue for companies. On the other hand in the presence of many alternatives and selection criteria the selection problem becomes a multiple-criteria decision making concept selection problem. To solve this problem in this work an integrated approach bringing two popular methods together: the modified technique for order preference by similarity to ideal solution (TOPSIS) and the analytical network process (ANP). The ANP method is used to determine the relative weights of a set of quantitative and qualitative evaluation criteria as the modified TOPSIS method utilized to rank competing concept alternatives. In addition a real example is presented to demonstrate the effectiveness and applicability of the proposed approach for potential practitioners and readers.