DSpace Arşivi :: by Yazar "Baysal, Mehmet Emin" değerine göre listeleniyor

Yazar "Baysal, Mehmet Emin" seçeneğine göre listele

Listeleniyor 1 - 20 / 20

Açık Atölye Ti?pi? Çi?zelgeleme Problemleri?ni?n Paralel Kanguru Algori?tması ile Çözümü
(GAZI UNIV, FAC ENGINEERING ARCHITECTURE, 2012) Baysal, Mehmet Emin; Durmaz, Taha; Sarucan, Ahmet; Engin, Orhan
The open shop scheduling problem is essentially a sort of scheduling problem that each job has only one operation to be processed on each machine and the processing order is not significant. It has been mainly encountered in a facility that is manufacturing similar types of products groups. In this study, open shop scheduling problems were solved in order to minimize the total make-span with Parallel Kangaroo algorithm which runs by the random jumping method. Parallel Kangaroo Algorithm is a meta-heuristic algorithm which continuously tries to reach the better solutions. The open shop scheduling instances for the benchmarking in the literature were solved with a Kangaroo Algorithm in which the wild and the tame kangaroo operators are operated in a parallel manner. The yielded results were compared with the best results in the literature. It has been found the performance of the Parallel Kangaroo Algorithm for solving the open shop scheduling problems was efficient.
Açık Atölye Ti?pi? Çi?zelgeleme Problemleri?ni?n Paralel Kanguru Algori?tması ile Çözümü
(2012) Baysal, Mehmet Emin; Durmaz, Taha; Sarucan, Ahmet; Engin, Orhan
The open shop scheduling problem is essentially a sort of scheduling problem that each job has only one operation to be processed on each machine and the processing order is not significant. It has been mainly encountered in a facility that is manufacturing similar types of products groups. In this study, open shop scheduling problems were solved in order to minimize the total make-span with Parallel Kangaroo algorithm which runs by the random jumping method. Parallel Kangaroo Algorithm is a meta-heuristic algorithm which continuously tries to reach the better solutions. The open shop scheduling instances for the benchmarking in the literature were solved with a Kangaroo Algorithm in which the wild and the tame kangaroo operators are operated in a parallel manner. The yielded results were compared with the best results in the literature. It has been found the performance of the Parallel Kangaroo Algorithm for solving the open shop scheduling problems was efficient.
Bir tıp fakültesi uygulama ve araştırma hastanesinde SERVQUAL metodu yardımıyla sağlık hizmeti alan müşterilerin beklentilerinin analizi
(Selçuk Üniversitesi Mühendislik-Mimarlık Fakültesi, 2012) Baysal, Mehmet Emin; Sarucan, Ahmet; Avcı, Elif Oran
Sağlık hizmetlerinde, hizmet sunulan bir hastanede hizmeti alan müşterilerin talep ve beklentilerininkarşılanması esastır. Bu araştırmada bir üniversitenin tıp fakültesi uygulama ve araştırma hastanesinde ayakta tedavi hizmeti alan hastaların (müşterilerin) beklentileri analiz edilerek müşteri memnuniyeti ölçülmeye çalışılmıştır. Müşteri beklentilerinin analizinde, son yıllarda etkinbir şekilde kullanılan SERVQUAL (Service Quality)metodu kullanılmıştır.Müşterilerin hizmet algıları ile beklentilerinin arasındaki farkın irdelenmesi için yedili likert ölçeğinde beş boyutta ve 22 sorudan oluşan bir anket uygulanmıştır.
ENERGY INVESTMENT PLANNING IN TURKEY: AN EVALUATION WITH FUZZY ANALYTICAL HIERARCHY PROCESS
(WORLD SCIENTIFIC PUBL CO PTE LTD, 2016) Baysal, Mehmet Emin; Cetin, Nazli Ceren
In this paper, renewable and sustainable energy investment projects in Turkey have been discussed. Seven types of different energy resources have been evaluated according to experts' linguistic evaluations. Triangular fuzzy numbers were used to represent these evaluations. Then, ranked positions of each resource were obtained by Fuzzy Analytical Hierarchy Process.
A GREEDY ALGORITHM FOR MULTIOBJECTIVE FUZZY FLOW-SHOP SCHEDULING PROBLEM
(WORLD SCIENTIFIC PUBL CO PTE LTD, 2012) Engin, Orhan; Yılmaz, Mustafa Kerim; Akkoyunlu, Mehmet Cabir; Baysal, Mehmet Emin; Sarucan, Ahmet
In this paper, a new greedy algorithm is proposed to solve the fuzzy multiobjective flow shop scheduling problem. We use the two approaches; the possibility measure and the area of intersection for multi objective fuzzy flow shop scheduling problem. The proposed new greedy algorithm is tested on the benchmark problems in the literature. The performance parameters of proposed greedy algorithm are determined by full factorial design of experiments (DOE). The performance of the proposed greedy algorithm is compared with the scatter search method.
A Hierarchy Grey Relational Analysis for Selecting the Renewable Electricity Generation Technologies
(INT ASSOC ENGINEERS-IAENG, 2011) Sarucan, Ahmet; Baysal, Mehmet Emin; Kahraman, Cengiz; Engin, Orhan
Energy resources are classified as renewable and non-renewable in general. Non renewable energy resources have been exhausted gradually. Renewable energy resources such as wind power, hydropower, geothermal power, solar power and photovoltaic power have importance more than ever before. But, researchers are looking for selections of renewable electricity generation as it is a technological problem. This problem is a multi-criteria decision making problem. One of the solution methods for this problem is a combination of the analytic hierarchy process (AHP) and the grey relational analysis (GRA). Hierarchical GRA method is based on grey system theory. In this study, a new approach to the selection of renewable electricity generation is prepared using multi-criteria decision making method. The hierarchical GRA frame work uses three criteria and sub-criteria from which it possible to evaluate to different renewable electricity generation technologies. This application is a novel approach for the selection of renewable electricity generation technologies.
AN INTEGRATED FUZZY AHP AND TOPSIS TECHNIQUE TO EVALUATE THE JOBS IN A FURNITURE COMPANY
(WORLD SCIENTIFIC PUBL CO PTE LTD, 2016) Caniyilmaz, Erdal; Alkan, Arzu; Baysal, Mehmet Emin; Sarucan, Ahmet
This paper presents an integrated fuzzy method for the evaluation of jobs in a furniture company in Turkey. Job evaluation provides to build up a sustainable pay structure on the basis of relative values of the jobs. The job evaluation problem can be considered as multi-criteria decision making problem. Multi-criteria decision making techniques, Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods are used for the evaluation. The paper addresses the evaluation of jobs in fuzzy environment to prevent the deviations of managerial assessments. The fuzzy AHP method (FAHP) is used for pair-wise comparisons. More stable weights were obtained with FAHP and then, by introducing these weights in the fuzzy TOPSIS method for a real world problem including 141 different blue collar jobs in the company has been considered. The relative worth of various levels of job factors have been calculated numerically. Finally, a ranking of jobs was obtained.
Karma bir karar verme yaklaşımı ile elektrik iletişim hattı için güzergah seçimi
(Selçuk Üniversitesi Mühendislik Fakültesi, 2015) Baysal, Mehmet Emin; Aydın, Musa; Sarucan, Ahmet
Hızla artan nüfus ve enerji kullanımı, beraberinde yeni elektrik iletim hatlarının oluşturulması ihtiyacını getirmektedir. Bir elektrik iletim hattının güzergâh seçimi için alternatiflerin değerlendirilmesinde, mühendislik ihtiyaçları, mamur alan, doğal çevre vb. belirli kriterler göz önüne alındığından, çok kriterli karar verme (ÇKKV) problemi ortaya çıkar. Bu çalışmada ÇKKV problemlerinin çözümünde etkin olarak kullanılan Analitik Ağ Süreci (AAS) yaklaşımı kullanılmıştır. Bu amaç doğrultusunda, Selçuk Üniversitesi Alâeddin Keykubat Yerleşkesi içinden geçirilecek bir elektrik iletim hattının alternatif geçiş yollarının değerlendirilmesine yönelik bir uygulama sunulmuştur. Elektrik iletim hattı için AAS belirlenen kriterlere göre makro koridorlar oluşturulmuş ve Faktör Ağırlıklandırma (FA) Yöntemi kullanılarak almış oldukları en yüksek puana göre en iyi alternatif güzergâh seçilmiştir.
The measurement of the service quality in the Konya light rail transportation system
(2004) Baysal, Mehmet Emin; Engin, Orhan
Bu çalışmada, Konya hafif raylı ulaşım sisteminin, vatmanlar ve yolculara göre servis kalitesi, SERVQUAL metodu ile belirlenmeye çalışılmıştır. Günümüzün rekabetçi ortamında, firmaların vermiş oldukları hizmeti ölçmeleri önemli bir stratejik faktördür. Geçmiş on yılda servis kalitesini ölçmek için en yaygın olarak kullanılan standart soru (anket) tekniği SERVQUAL metodudur. Konya merkez nüfusu, en son sayımlara göre, yıllık 50 bin nüfus artışı ile, 900000'dir. Nüfustaki artıştan dolayı ortaya çıkan en önemli problemlerden biri de toplu taşıma problemidir. Konya da bu problem, 1992 yılında hizmete giren hafif raylı ulaşım sistemi ile çözülmüştür. Araştırmada vatman ve yolcuların hafif raylı ulaşım sistemindeki beklentileri servis kalite metodu yardımı ile belirlenmeye çalışılmıştır.
A Memetic Algorithm to Solve the Open Shop Scheduling Problem
(IEEE, 2015) Engin, Batuhan Eren; Sümbül, Mehmet Onur; Engin, Orhan; Baysal, Mehmet Emin; Sarucan, Ahmet
Open shop scheduling problem (OSSP) can basically be defined as a scheduling problem where each job has just one operation to be processed on each machine and operation sequence is free to decide. It is usually seen in facilities that produce similar product families. In this study a Memetic algorithm is proposed for solving the OSSP, and the results are promising.
Otomotiv Yan Sanayiinde Hata Türü ve Etkileri Analizi
(2002) Baysal, Mehmet Emin; Canıyılmaz, Erdal; Eren, Tamer
Hata Türü ve Etkileri Analizi(HTEA) bir sistemde varolan ve/veya potansiyel problemleri tanımlayıp elimine etmek için kullanılan bir mühendislik tekniğidir. HTEA ürünün ilk tasarım aşamasından başlayıp, ürünün yaşamı boyunca devam eden bir süreçtir. Hata Türü ve Etkileri Analizi, ürün ve süreç problemlerini meydana çıkmadan önlemeye yönelik sistematik bir metotdur. Bu çalışmada, bir HTEA çalışmasının nasıl yapılacağı gösterilmeye çalışılmıştır. Burada HTEA süreci, otomotiv endüstrisinde bir uygulaması ve takım çalışması üzerinde durulmuştur.
POWER PLANT PLANNING IN TURKEY: AN EVALUATION WITH INTEGER FUZZY WEIGHTED GOAL PROGRAMMING MODEL
(WORLD SCIENTIFIC PUBL CO PTE LTD, 2016) Cetin, Nazli Ceren; Baysal, Mehmet Emin
This paper is about rapidly increasing usage of renewable and sustainable energy investment projects in Turkey these days. On account of having both monetary and harmful effects on the environment, the energy produced by fossil fuels needs to be determined how complex its sources, location and type will be. Because sustainability of such investments may reveal some problems when considered it is thought about current technological advances. The usage of integrated multi-objective decision making approaches is much more appropriate to overcome such problems. The seven energy sources in Turkey are considered in accordance with existing statistics and 2023 projections. The deviations from goals has been measured by an integer fuzzy weighted goal programming model.
Priority ranking for energy resources in Turkey and investment planning for renewable energy resources
(SPRINGER HEIDELBERG, 2018) Baysal, Mehmet Emin; Cetin, Nazli Ceren
Energy has been an essential factor in determining the governments' policies. The countries had to produce their own energy to decrease dependency on external resources. That also provided to gain a great importance on investment on power plants. In this study, a multi-objective Mixed-Integer Linear Programming (MILP) model synchronously optimizing five targets determined as decreasing carbon dioxide (CO2) emission, increasing power consumption, increasing power plants, increasing energy generation and installed capacity was used. In described model, it was solved by considering renewable power plants in Turkey and fossil fuel-based power plants having most share in Turkey. By trying to minimize deviation values of Turkey's 2023 targets, it aimed to determine which power plants need to be increased. To determine the priorities of these targets, Ranking Approach for fuzzy numbers by Liou andWang (1992) was used. Besides, Fuzzy Analytic Hierarchy Process (AHP) was used to prioritize investment planning of renewable power plants in Turkey and five different kinds of power plants under the visual pollution criteria based on amount of CO2 emission released, environmental damage, capital costs, space requirement and provided employment were evaluated.
A RANKING METHODOLOGY USING HIERARCHICAL GREY RELATIONAL ANALYSIS: THE CASE OF TURKISH BANKING SYSTEM
(WORLD SCIENTIFIC PUBL CO PTE LTD, 2012) Baysal, Mehmet Emin; Aksu, Büşra
Financial indicators which have been monitoring and announcing to public periodically are indispensable tools particularly in the banking sector. In this study, it has been chosen 22 different Banks in Turkey. The 39 performance related criteria for those banks were evaluated by an integrated AHP approach and their weights were computed. Then, the grey relational degrees of 22 banks were computed by Grey Relational Analysis Method. On the other hand banks were ranked by using Financial Ratio Analysis. The obtained results from both methods were presented comparatively.
A Scatter Search Method for Fuzzy Job Shop Scheduling Problem with Availability Constraints
(INT ASSOC ENGINEERS-IAENG, 2011) Engin, Orhan; Yılmaz, Mustafa Kerim; Kahraman, Cengiz; Baysal, Mehmet Emin; Sarucan, Ahmet
In the last decade job shop scheduling problems have been subject to intensive research due to their multiple applications. Job shop scheduling is known as a strongly NP-complete problem. In the job shop scheduling problems, processing times and due dates are very dynamically due to both human and machine resource factors. Fuzzy sets are used to model the uncertain processing times and due dates in recent years. In this study, a fuzzy job shop scheduling problem with availability constraints is considered. A Scatter Search (SS) method is proposed to solve these problems. The feasibility and effectiveness of the proposed scatter search method is demonstrated by comparing it with the hybrid genetic algorithm (HGA).
The Selection of Renewable Energy Power Plant Technology Using Fuzzy Data Envelopment Analysis
(INT ASSOC ENGINEERS-IAENG, 2011) Baysal, Mehmet Emin; Sarucan, Ahmet; Kahraman, Cengiz; Engin, Orhan
The efficiency of resource utilization and sustainabfiity are rising values all over the world. Power generation technologies have an important weight in this manner for a sustainable future. Particularly, renewable energy power technologies should take over the non-renewable power generation technologies when considered on environmental issues. However it is too far to substitute renewable onto non-renewable as for now. At this point, there is another issue for choosing the best yet suitable alternative technology. The selection problem is a difficult multi-criteria decision making problem in many fields as well as in the selection of power generation technology. This paper proposed a data envelopment analysis model approach by using triangular fuzzy numbers (TFN) as the solution. Six different technologies were used as the decision making units (DMU). Inputs and outputs variables were selected in general indicators such as economical and technical. It was showed that policy and decision makers could follow this methodology to produce effective solution for energy generation problems.
Solution to a pipeline scheduling problem by using a mixed integer linear programming model
(Selçuk Üniversitesi Mühendislik Fakültesi, 2016) Baysal, Mehmet Emin; Uçaktürk, Esra
Pipelines are efficient ways of conveying huge amounts of refined petroleum products to distant points. Different products are pumped successively, in the pipelines without a need of a separator between them. Pipelines should be chosen very carefully based on the pumping sequences, volumes to be conveyed, covering the constraints involved by cutting operational costs and focusing on market demands. The real life problem considered in this study consists of a unidirectional pipe distribution system used for pumping petroleum products between the sources and distribution centers. Problem was stated as a Mixed Integer Linear Programming (MILP) model and solved by using GAMS software thorough actual data. As a result of the study, an optimal pumping schedule for pipeline operations at a certain period of time is achieved
Solving Fuzzy Job Shop Scheduling Problems with Availability Constraints Using a Scatter Search Method
(OLD CITY PUBLISHING INC, 2013) Engin, Orhan; Yılmaz, Mustafa Kerim; Baysal, Mehmet Emin; Sarucan, Ahmet
In the last decade job shop scheduling problems have been subject to intensive research due to their multiple applications. Job shop scheduling is known as a strongly NP-complete problem. In the job shop scheduling problems, processing times and due dates are very dynamic due to both human and machine resource factors. Fuzzy sets have been used to model the uncertain processing times and due dates in recent years. In this study, a fuzzy job shop s cheduling problem with availability constraints is considered. Availability constraints mean that machines can be unavailable for preventive maintenance, periodic repair or random breakdown. These constraints have been considered in this study for fuzzy job shop scheduling problems. A Scatter Search (SS) method is proposed to solve these problems. The feasibility and effectiveness of the proposed scatter search method is demonstrated by comparing it with the hybrid genetic algorithm (HGA). The aim of the study is to minimize the tardiness and earliness.
A Total Productive Maintenance Implementation in a Manufacturing Company Operating in Insulation Sector in Turkey
(IEEE, 2015) Baysal, Mehmet Emin; Sumbul, Mehmet Onur; Ekicioglu, Erdem
In this study, to calculate Overall Resource Effectiveness (ORE), planned downtime, facility downtime, setup and adjustments, material shortages, manpower absence, operator performance losses are found out after observing 4 expanded polystyrene (EPS) machines for 23 days, in 3 shifts a day. In the light of this data readiness, facility availability, mold changeover efficiency, material availability, manpower availability, performance efficiency, quality rate values are found and ORE values for each machine are calculated. Results showed an undeniable need to implement TPM, and suggestions followed.
A two phased fuzzy methodology for selection among municipal projects
(VILNIUS GEDIMINAS TECH UNIV, 2015) Baysal, Mehmet Emin; Kaya, İhsan; Kahraman, Cengiz; Sarucan, Ahmet; Engin, Orhan
A municipality improves the quality of community life through its projects and actions. However, project selection and prioritization by municipalities are highly complex processes. Therefore, multicriteria decision making (MCDM) methodologies are very suitable for determining the best alternative. Recently, some studies have concentrated on the selection of the best project alternatives. In this paper, a two phased fuzzy MCDM methodology is proposed for the selection among municipal projects. In the first phase, fuzzy TOPSIS method is used to select the main project group and then fuzzy AHP is used to select the best sub-municipal project. The application of the suggested methodology has been made at the central district municipality in Konya, Turkey.

Yazar "Baysal, Mehmet Emin" seçeneğine göre listele

Sayfa Başına Sonuç

Sıralama seçenekleri