Endüstri Mühendisliği Bölümü Koleksiyonu

Permanent URI for this collectionhttps://gcris.khas.edu.tr/handle/20.500.12469/48

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Now showing 1 - 6 of 6

Citation Count: 2
Cad software evaluation for product design to exchange data in a supply chain network
(ExcelingTech Publishers, 2015) Ayağ, Zeki
The sharing information in a supply chain environment especially CAD models and drawings are so important companies. So the selection of the most satisfying computer-aided design (CAD) software which enables to exchange data through supply chain network has been major issues for companies in a supply chain. The selection process of CAD software among the raising number of alternatives in the market has been very vital and critical issue for companies that aim to make their design and engineering related activities automated towards computer integrated manufacturing (CIM) environment. Therefore most companies have used various methods to successfully carry out this difficult and time-consuming process. Of these methods Analytic Hierarchy Process (AHP) has been widely used for Multiple Criteria Decision Making (MCDM) problems in both academic researches and practices. But in some cases due to the vagueness and uncertainty on judgments of the decisionmaker(s) the crisp pair wise comparison in the conventional AHP seems to be insufficient and imprecise to capture the right judgments of decision-maker(s). Therefore a fuzzy logic is introduced in the pair wise comparison of AHP to make up for this deficiency in the conventional AHP called as fuzzy AHP. In this paper a fuzzy AHP-based approach is proposed to evaluate a set of CAD software alternatives in the market to reach the best satisfying one based on the needs of company. © ExcelingTech Pub UK.
Citation Count: 17
Evaluation of Influenza Intervention Strategies in Turkey with Fuzzy AHP-VIKOR
(Hindawi LTD, 2019) Samanlıoğlu, Funda
In this study, a fuzzy AHP-VIKOR method is presented to help decision makers (DMs), especially physicians, evaluate and rank intervention strategies for influenza. Selecting the best intervention strategy is a sophisticated multiple criteria decision-making (MCDM) problem with potentially competing criteria. Two fuzzy MCDM methods, fuzzy analytic hierarchy process (F-AHP) and fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (F-VIKOR), are integrated to evaluate and rank influenza intervention strategies. In fuzzy AHP-VIKOR, F-AHP is used to determine the fuzzy criteria weights and F-VIKOR is implemented to rank the strategies with respect to the presented criteria. A case study is given where a professor of infectious diseases and clinical microbiology, an internal medicine physician, an ENT physician, a family physician, and a cardiologist in Turkey act as DMs in the process.
Citation Count: 17
Fuzzy AHP-GRA approach to evaluating energy sources: a case of Turkey
(EMERALD GROUP PUBLISHING LTD, 2020) Samanlıoğlu, Funda; Ayağ, Zeki
Purpose Since the demand for energy has dramatically increased in the countries which have fast-growing population and economy, they have faced with a critical problem of how to evaluate a set of potential energy sources (i.e. nuclear, natural gas, bio, geothermal, hydro, wind and solar) and choose the ultimate energy source for their needs. On the other hand, this critical problem turns into a multiple-criteria decision-making (MCDM) in the presence of a set of energy source alternatives and evaluation criteria. In literature, there are many MCDM methods introduced to solve for different kinds of problems. The purpose of this paper is to present an integrated approach for evaluating energy sources using fuzzy AHP and GRA, with a case for Turkey. Design/methodology/approach In this paper, the analytic hierarchy process (AHP) and grey relational analysis (GRA) methods are used because of their advantages for similar problems. On the other hand, due to the fact that the conventional AHP by a nine-point scale and GRA method using a scale with crisp values can be unable to handle to capture the right judgments of a decision-maker(s), to reflect the vagueness and uncertainty on the judgments of a decision-maker, the fuzzy logic is integrated with the AHP and GRA. Findings The contributions of the paper to the literature are given in two dimensions as follows: it presents an integrated approach for complex decision processes with subjective data or vague information; the proposed approach, the fuzzy AHP-GRA method for energy source selection, is unique for the related problem in literature. The results of the proposed model from the case of Turkey will help practitioners and experts of how to apply it to the similar problems in the field of energy management. Social implications On the other hand, the proposed approach, the fuzzy AHP-GRA for energy source selection can also be an intelligent tool for public and private energy companies in Turkey, as well as others in the world. Originality/value On the other hand, in this paper, to the best of the authors' knowledge, the study contributes to the literature that the first time, they use the fuzzy alpha-cut AHP and GRA in fuzzy environment for energy source evaluation problem.
Citation Count: 44
A hybrid approach to machine-tool selection through AHP and simulation
(Taylor & Francis, 2007) Ayağ, Zeki
The selection process of a machine tool has been a critical issue for companies for years because the improper selection of a machine tool might cause many problems having a negative effect on productivity precision flexibility and a company's responsive manufacturing capabilities. Therefore in this paper to determine the best machine tool satisfying the needs and expectations of a manufacturing organization among a set of possible alternatives in the market a hybrid approach is proposed which integrates an analytic hierarchy process (AHP) with simulation techniques. The AHP as one of the most commonly used multiple criteria decision-making methods is used to narrow down all possible machine tool alternatives in the market by eliminating those whose scores (or weights) are smaller than a determined value obtained under certain circumstances. Then a simulation generator is used first to automatically model a manufacturing organization where the ultimate machine tool will be used and second to try each alternative remaining from the AHP as a scenario on the generated model. Finally the final alternative is selected by using the unit investment cost ratio which is calculated by dividing the investment cost per year of each alternative by the additional number of produced units obtained from the simulation experiment of the relevant alternative.
Citation Count: 16
An integrated approach to evaluating assembly-line design alternatives with equipment selection
(Taylor & Francis Ltd, 2011) Ayağ, Zeki; 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.
Citation Count: 8
Multi-objective Fuel Supply for Coal-fired Power Plants Under Emission Transportation and Operational Constraints
(Taylor & Francis Inc, 2013) Yücekaya, Ahmet
Coal-fired power plants need to decrease their generation cost in deregulated power markets so as to be selected dispatched and compete with other cheaper resources. On the other hand coal prices have risen significantly and extra costs for SO2 and NOx emission outputs are imposed that force power companies to lower the costs for the fuel-coal supply process. In this article a multi-objective model for supplier transportation and coal order selection is developed for the coal supply of electric power plants in an environment where multiple suppliers coal contracts and multimode transportation routes exist. The model simultaneously optimizes multiple objectives such as minimizing purchase transportation sulfur dioxide and nitrogen oxides costs and carbon dioxide and ash outputs of coal. Multi-objective linear programming and analytic hierarchy process are employed to solve the problem. The solution methodology is applied in a case study in the Midwestern United States and the alternative evaluation process is presented. It is shown that the model can be used by the power companies to find a desired solution for their coal supply and hence generate power with coal of lower cost lower emission and ash.

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