Endüstri Mühendisliği Bölümü / Department of Industrial Engineering

Permanent URI for this collectionhttps://hdl.handle.net/11413/6819

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4. Endüstri Devriminin getireceğiyeni Liderlik Anlayışı
(2018-06) Tarhan, İbrahim Ethem; 114926
Bu çalışmada, 4. Endüstri Devrimi olarak ifade edilen Endüstri 4.0 kavramının liderlik stillerini ne şekilde etkileyeceği konusu üzerinde durulacaktır. Bilindiği üzere Almanya öncülüğünde gelişmiş olan ülkeler özellikle uzak doğu ülkelerinin düşük işçilik maliyetlerinden dolayı birçok sektörlerdeki olası hakimeyetini azaltacağı ve az nitelikli işgücüne bağımlılığı azaltmak amacı ile Dördüncü Sanayi Devrimi’ni 2011 yılında başlatmışlardır. Endüstri 4.0’ın içerisinde yer alan önemli araçların bazıları akıllı fabrikalar, siber-fiziksel sistem, veri analitiği ve nesnelerin incelenmesidir. Özellikle, siber-fıziksel sistem ve akıllı fabrikaların üretimde insan faktörünün rolünü değiştireceği düşünülmektedir. Robotların da içinde bulunduğu birçok makinalar üretim süreçlerine dahil olacaklardır. Otomasyonun devreye girmesiyle üretimdeki insan faktörünün rolü değişmiştir. Sözü geçen bu teknolojik değişimler, beraberinde yönetim ve liderlik kavramlarını da değiştirecektir. Dünya genelinde yaygın değişik liderlik stilleri bulunmaktadır. Uygulanmakta olan liderlik modellerinin önde gelenleri etkileşimci, bir başka değişle geleneksel, mükafat ve cezaya dayalı ( transaksiyonel) liderlik ve dönüşümcü (transformasyonel) liderlik modelleridir. Günümüzde örgütsel değişimlerde en çok önerilen liderlik modeli dönüşümcü liderlik modelidir çünkü dönüşümcü liderler çalışanları motive ederek, organizasyonun vizyonu doğrultusunda yönlendirebilir ve güvenlerini artırarak işletmedeki görevlerinin kendi bireysel beklentilerinin üzerine çıkartarak verimi artırmayı başarabilirler. Bu değişime önderlik edenlere dönüştürücü lider denilmektedir. Değişimlerde etkiliği olan dönüşümcü liderlik modelinin 4. Endüstri Devriminin getireceği teknolojik değişikliklerde tek başına uygulandığında yeterli olamayacağı tahmin edilmektedir. Endüstri 4.0 kavramının beraberinde getirdiği marjinal teknolojik değişimleri sadece dönüşümcü liderlik stili ile yönlendirmemiz yeterli olamayacaktır. Bilgiye ve buluşa dayalı (knowledge-innovation based) liderlere ihtiyaç duyulacaktır. Karizmatik, dönüşümcü liderlerin aynı zamanda Elon Musk gibi okuyan, araştıran, kritik düşünebilen, konusunda bilgiye önem veren girişimci liderlerin Endüstri 4.0 kavramınma daha uygun olacağı düşünülmektedir. Bu çalışmada, 4.Endüstri Devrimine en uygun olabilecek liderlik modelleri konusu tartışılacaktır.
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A Holistic Approach For The Optimization of Offshore Wind Farm Layouts Considering Cable Layouts
(2019-08) Alabaş Uslu, Çiğdem; ÜLKÜ, İLAYDA; 51700
A wind farm, mainly, is composed of a set of turbines, one or more transmitters and a set of electrical cable connections between turbines and transmitters. Determination of turbine locations within the farm to maximize total power generation is called turbine location (TL) problem. Relative turbine positions affect the amount of overall energy because of wake effects. Determination of cable connections among turbines and transmitters to collect produced energy by turbines at transmitters is called cable layout (CL) problem. While TL problem is directly effective on the total energy production in the farm, CL problem indirectly affects the total energy due to the power losses. In the literature, TL and CL problems are solved sequentially where the layout found by solving of TL is used as an input of CL problem. To minimize wake effects in TL problem, distances between turbine pairs should be increased, however, as the distances are increased the cable cost increases in CL problem. A new mathematical model is developed to deal with simultaneously solving of TL and CL problems. A set of test instances are used to show the performance of the proposed model. The experiments show the practical use of the proposed holistic model.
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A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets
(2019-06-03) Kahraman, Cengiz; GÜNDOĞDU, FATMA KUTLU
All the extensions of ordinary fuzzy sets with three-dimensional membership functions such as intuitionistic fuzzy sets, second type intuitionistic fuzzy sets (or Pythagorean fuzzy sets) and neutrosophic sets aim at defining the judgments of decision makers/ experts with a more detailed description. As a new extension of intuitionistic fuzzy sets of second type, the emerging spherical fuzzy sets (SFS) have been proposed by Kutlu Gundogdu and Kahraman (2019b). In spherical fuzzy sets, the sum of membership, non-membership and hesitancy degrees must satisfy the condition0 <= mu(2) + v(2) + pi(2) <= 1 in which these parameters are assigned independently. SFS is an integration of Pythagorean fuzzy sets and neutrosophic sets. In this paper, novel interval-valued spherical fuzzy sets are introduced with their score and accuracy functions; arithmetic and aggregation operations such as interval-valued spherical fuzzy weighted arithmetic mean operator and interval-valued spherical fuzzy geometric mean operator. Later, interval-valued spherical fuzzy sets are employed in developing the extension of TOPSIS under fuzziness. Then, we use the proposed interval-valued spherical fuzzy TOPSIS method in solving a multiple criteria selection problem among 3D printers to verify the developed approach and to demonstrate its practicality and effectiveness. A comparative analysis with single-valued spherical TOPSIS is also performed.
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A novel spherical fuzzy analytic hierarchy process and its renewable energy application
(2020-03-01) Kutlu Gündoğdu Fatma; Kahraman, Cengiz
The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets, Pythagorean fuzzy sets, and neutrosophic sets, whose membership functions are based on three dimensions, aim at collecting experts’ judgments more informatively and explicitly. In the literature, generalized three-dimensional spherical fuzzy sets have been introduced by Kutlu Gündoğdu and Kahraman (J Intell Fuzzy Syst 36(1):337–352, 2019a), including their arithmetic operations, aggregation operators, and defuzzification operations. In this paper, our aim is to extend classical analytic hierarchy process (AHP) to spherical fuzzy AHP (SF-AHP) method and to show its applicability and validity through a renewable energy location selection example and a comparative analysis between neutrosophic AHP and SF-AHP.
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A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection
(2019) Kahraman, Cengiz; GÜNDOĞDU, FATMA KUTLU
The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), and neutrosophic sets (NS), whose membership functions are based on three dimensions, aim at collecting experts' judgments more informatively and explicitly. In the literature, generalized three-dimensional spherical fuzzy sets have been developed by Kutlu Gundogdu and Kahraman (2019), including their arithmetic operations, aggregation operators, and defuzzification operations. Spherical Fuzzy Sets (SFS) are a new extension of Intuitionistic, Pythagorean and Neutrosophic Fuzzy sets, a SFS is characterized by a membership degree, a nonmembership degree, and a hesitancy degree satisfying the condition that their squared sum is equal to or less than one. These sets provide a larger preference domain in 3D space for decision makers (DMs). In this paper, our aim is to extend classical VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method to spherical fuzzy VIKOR (SF-VIKOR) method and to show its applicability and validity through an illustrative example and to present a comparative analysis between spherical fuzzy TOPSIS (SF-TOPSIS) and SF-VIKOR. We handle a warehouse location selection problem with four alternatives and four criteria in order to demonstrate the performance of the proposed SF-VIKOR method.
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An analytical approach for analysing the impact of risks on production planning: Case of Öztiryakiler
(2020) Telatar, E.; Bekeç, T.; Başaran, A.; Balıkçı, N.; Bilgin, B.; İlbay, E.; AKTİN, AYŞE TÜLİN
Accurate and applicable production plans are a must for manufacturing companies. Although companies tend to prepare ideal production plans, some exogenous factors can affect their validity. These risks, which occur unexpectedly, will have a negative influence on the plan. This study aims to determine the exogenous factors affecting the success of production planning of square and rectangular food containers manufactured by Öztiryakiler, and analyse their impacts on the plans. The risk factors are evaluated using Failure Mode and Effects Analysis, and their risk priority numbers are calculated. A mixed-integer linear programming model with the objective of total cost minimisation is developed to obtain the production plan of containers. Initially, an ideal data set is used as input; hence, this model’s output displays a risk-free plan. Similarly, for each of the risk factor scenarios, mathematical models are solved with risk-related data. GAMS software and CPLEX solver is utilised in the solution of all models. Finally, for each of the selected high risk alternative, the expected total costs are calculated. This is achieved by multiplying the normalized risk priority number obtained from the Failure Mode and Effects Analysis with the corresponding optimal total cost of the risky plan. This analysis highlights the most critical risks, and comparison with the risk-free plan helps in proposing system improvements. © 2020, Springer Nature Switzerland AG.
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An Integrated Pythagorean Fuzzy AHP & TOPSIS Method for the Selection of the Most Appropriate Clean Energy Technology
(2019-07) Karaşan, Ali; Kahraman, Cengiz; GÜNDOĞDU, FATMA KUTLU; 273471; 227871; 9178
Clean energy technologies which include renewable energy, electric vehicles, nuclear power and biofuels focus on ways to boost demand and de ployment by societies. Governments in many countries aim to increase the clean energy technologies and oner incentives to increase tendency on that sec tor. One of the reasons of these incentives is to prevent the global warming. For example. 30% of global electricity can be produced from wind and solar power in the long tenn, without adding to the total cost of reaching a low-carbon fu ture. In this study, we use an integrated Pythagorean fuzzy MCDM method consist of AHP and TOPSIS for the selection of the most appropriate clean en ergy7 technology for the Marmara Region.
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An Unsupervised Data Mining Approach for Clustering Customers of Abrasive Manufacturer
(2019-07) AKBURAK, DİLEK; 275470
Customer segmentation is the process of dividing customers into groups based on common similar characteristics such as value, location, demography etc. Companies can communicate with each group effectively and appropriately by considering these common properties. Data mining algorithms are the most utilized techniques which lead direct marketers to develop their marketing strategies tailored to particular segments and/or individuals. Clustering is one of the unsupervised data mining methods used for grouping set of objects such a way that objects in the same group have maximum similarity while between group similarities are low. K-means clustering is a commonly used non-hierarchical clustering method for performing non-parametrical learning tasks. This study aims to identify customer types according to their profitability, value and risk in order to take appropriate action for each group via clustering. In this study, data items are grouped according to coded customer profile with respect to the consumers’ total expenditures. Customers are segmented as VIP, Platinum, Gold, and Bronze into 4 groups according to their values within 2 years.
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Anticipation for Customer Analytics
(2019-11) Şenvar, Özlem; Yel, Necla; AKBURAK, DİLEK; 275470; 193864
In the digitalization era, enterprises are required to proactive customer relationships via analytical techniques to execute customer treatment strategies based on predictive analytics drawing on a wealth of data about customer behaviors. Nowadays, predictive analytics with automatic decision making concepts are integrated for better understanding preferences of customers, segmenting customers, promoting right products to right customers, improving customer experience, and driving revenue. Customer value anticipation becomes inevitable for understanding customer requirements and expectations. Anticipation can provide capacities in shaping customer perceptions and expectations to make sense of novelty by enlarging and enhancing the analytical and operational approaches to incorporate decision making. In this regard, customer analytics is handled within the perspective of the process by which data from customer behavior utilized to make key business decisions through market segmentation and predictive analytics in order to maximize organizational throughput and maintain long lasting relationships with customers. From this standpoint, this study aims to provide an overview for customer analytics considering anticipation, customer experience and big data analytics involving strategic decision making processes for customer loyalty and relationships. Moreover, customer experience quality is discussed for anticipating customer expectation.
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Arçelik Yetkili Servislerinde Optimizasyon Tabanlı Teknisyen Planlama
(2019-06) Çelebi, Ceren; Öcal, Cansu; Kurtoğlu, Gizem; YÜKSEKTEPE, FADİME ÜNEY; 108243
Arçelik, 1955 yılında Türkiye'de dayanıklı tüketim malları üreticisi olarak kuruldu. Halen dünya genelinde 32 ülkede 30.000 çalışanı, 18 farklı üretim tesisi ve 34 satış ve pazarlama şirketi bulunmaktadır. Beyaz eşya, tüketici elektroniği, ısıtma-havalandırma ve küçük ev aletleri gibi geniş ürün yelpazesi için, şirketin 145 ülkede birkaç yetkili servisi bulunmaktadır. Türkiye'de hizmet verdiği yetkili servis sayısı 574'tür. Küreselleşen dünyada satış sonrası hizmetler, müşterilerin sürdürülebilirliği sebebiyle firmalar için önemli işlevler arasında yer almaktadır. Ayrıca, teknisyenlerin görevleriyle ilgili becerilerinin de ayarlanması önemlidir. Ancak, Arçelik yetkili servislerinde çalışan teknisyenleri planlanmak için analitik bir çözüm uygulaması bulunmamaktadır. Bazı servisler bazı dönemlerde fazla sayıda teknisyen ile çalışmaktadır. Şu anda, bu servislerin karlılığı, teknisyenlerin verimsiz planlanması nedeniyle daha düşüktür. Bu nedenle, şirket teknisyen planlama sürecini geliştirmek istemektedir. Bu çalışmada, yetkili bir serviste her uzmanlık seviyesindeki teknisyenlerin optimum sayısını belirlemek için analitik bir yaklaşım önerilmiştir. İlk aşamada, Merter yetkili servisine odaklanarak arıza kategorileri, teknisyenlerin uzmanlık düzeyleri, arızaların tamir edilme süreleri, arızaların ortalama tamir süreleri ve ulaşım süreleri şirketten temin edilmiştir. Merter yetkili servisine odaklanarak, her bir arızanın ortalama işlem süresini belirlemek için bir dizi ölçüm yapılmıştır. Alman verileri kullanarak, belirli bir ay için teknisyen planlama problemini çözmek için bir matematiksel model geliştirilmiştir. Sonuç olarak, optimum teknisyen sayısı ve gerekli yetkinlikleri belirlenmiştir. Farklı senaryolar dikkate alınarak, sonuçların duyarlılığı incelenmiştir.
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Comparative Analysis of the Most Industrialized Cities in Turkey from the Perspective of Industry 4.0
(2019-08) Gergin, Zeynep; ILHAN, DOGAN AYBARS; Gençyılmaz, M.Güneş; DÜNDAR, Uğurcan; Çavdarlı, Ali İhsan; YÜKSEKTEPE, FADİME ÜNEY; 141772; 274545; 30141; 275477
It can be declared that the adaptation of companies to the new industrial revolution, so called Industry 4.0, is not a choice but an issue of survival. The structure of business processes are changing with the newly introduced, radical and highly value adding technological drivers, such as internet of things, cloud computing, autonomous robots, augmented reality, cyber security system, etc. In the globalized trade markets none of the companies can close their eyes to this new era and ignore the required change in their operations. Small and Medium Sized Enterprises (SMEs) have 99.8% enterprise share of Turkey, and consequently have obvious contribution not only to the local economy but also to the global competition strength of the country. In that sense, catching up the fourth industrial revolution has to be the prior agenda of the SMEs, and also of the government institutions and the universities from the perspective of giving the required support. This study is the continuum of the broad research that is initiated in March 2018. The purpose is to identify the current situation of SMEs in Turkey with respect to their various implementations for Industry 4.0 transformation. A specifically designed questionnaire is applied to SME’s with the support of KOSGEB (Small and Medium Sized Enterprises Development Organization), and in this stage of the research, the companies located in four major cities, namely Istanbul, Ankara, Izmir and Bursa, are analyzed and compared. The study aims to find out the level of awareness and readiness of SMEs in these cities and measure their Industry 4.0 scores. The final target is to support the Industry 4.0 implementations by defining the current situation and proposing suitable actions for adaptation based on varying results.
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Cost Benefit Analysis of Residential PV Systems in Aegean Region
(2019-06) DÜNDAR, Uğurcan; Metin, Seyfi Erol; 275477
Turkey is among the countries that have high dependency to imported energy resources, with limited indigenous resources. The current rate of import dependency of primary energy supply is above 70%. This is not only a risk on energy supply security, but also a tremendous pressure on economy. In addition increasing awareness on environmental issues, higher pressure on economy to produce self sufficient energy supply resources, Turkey has shown an increasing support for the renewable energy systems. Owing to to her great positioning with regards to certain renewables, such as sun and geothermal, Turkey has been able to implement several renewables projects and the existing capacity has reached to 5.5 GW level, as of 2018. The potential is equivalent to 2737 hours of sunshine duration with solar radiation capacities reaching to 2900 in southern parts of the country. Given this potential, the objective of this sturdy is to implement a cost- benefit analysis, on household PV systems, in 3 pilot sites , in the Aegian Region of Turkey, chosen for the purpose of this study. The cost benefit analysis is simple return on investment evaluation based on direct investment and operational costs. The feed in tariffs are not considered since they are not applicable for this case and even under these restricted small scale projects. The results show that, even under these small scale roof top solar projects there is some attractive financial benefits associated with solar projects in Turkey.
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Customer Response Prediction for a Specific Campaign in Penti via Data Classification
(2019-09) Çiçekli, Sevra; Mutlu, Merve; Aral, Neslişah; YÜKSEKTEPE, FADİME ÜNEY; 297802
Penti was established in 1950 in Turkey. It is growing in production and retail activities, expanding its offerings of mainly women's and girls’ socks, home wear and beachwear. Different campaigns are organized periodically in order to increase sales and customers are informed about the campaigns mostly by SMS regardless of their previous purchasing behavior. When informing the customers, there is no analytical tool used to find the right group of customers who will receive SMS about the campaigns. Therefore, the response rate to campaigns is not always as it is expected and cost of sending SMS is high. Number of SMSs that are bought from an outsource company and responses to the campaign directly affect the profit. With all these reasons, a study is made on creating an analytical tool just for a specific campaign in Penti. In this study, an analytical tool which will predict the possible responses of customers to a specific campaign is developed by using WEKA software. While developing this tool, different classification algorithms are used. Each method is compared in terms of their accuracy rates and the best method which has the highest performance is selected as the tool. At the end of the study, the analytical tool is shared with the company. By the help of this tool, SMSs can be sent to the customers considering important attributes and the company can reach the right group of people who will do shopping at stores after those informative SMSs.
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Data Mining Approach for Quality Control Process Improvement
(2019-09) Gergin, Zeynep; Buldanlı, B.Berk; Şahin, Turabi; Elçi, Lütfi; Ekinci, Mert; YÜKSEKTEPE, FADİME ÜNEY; 141772
While striving for serving high quality products, companies are also struggling for cost efficiency. In other words, today’s competitive business environment entails the fact that the economic benefits of the company must be considered together with the product requirements to be met for customer satisfaction. Hence, companies must focus both on improving their ongoing process and establishing cost efficiency. To accomplish this success, they are trying various ways, and data science and data mining tools are the latest solutions that the companies are using in this digital transformation era. With this motivation, this research is conducted in one of the leading bus manufacturers in the automotive industry for improving the cost efficiency of quality control processes with the application of data mining methods. The company has decided to make optimization in the current routes of test drives. Currently, the busses are sent to various routes for validation after the quality control processes. The company supports this project for identifying optimum route assignments in order to minimize test-drives distances, and consequently decrease the related costs. The study starts with the collection of data from the quality control records. Then, it continues with pre-processing and analysis of data to understanding the quality control (QC) process and failure modes. After that, data are processed on WEKA data mining software, for understanding and inspecting the patterns and relationships between route requirements and specific error codes. Finally, the appropriate classification algorithm is selected. After the application of appropriate data mining algorithm, rules are set for route characteristics, and assignments are done between routes and QC error codes. Optimization of routes is done by considering the minimization of distance that is completed on test drives. The comparative results display 18.11% decrease in fuel consumption after the optimization of the routes with the rules set. A decision support app is also developed on android studio, which can be used by the company for faster route assignment decisions.
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Data Mining Based CustomerResponse Prediction for a Specific Campaign in Pent
(2018-07) Aral, Neslişah; Mutlu, Merve; Çiçekli, Sevra; YÜKSEKTEPE, FADİME ÜNEY; 108243; 297802
PENTİ was established in 1950 in Turkey. Il is growing in production and retail activities, expanding its offering of mainly women’s and girls' socks, home wear and beachwear. Different campaigns are organized to increase sales and customers are informed about the campaigns mostly by SMS regardless of their previous purchasing behavior. However, there is not an analytical tool to determine which customers those SMS should be sent to in order to get a high number of responses. In this study, an analytical tool which will predict the possible responses of customers to a specific campaign will be developed by using WEKA software. While developing this tool, attributes such as age, having child, marital status and city information of customers will be preprocessed to analyze which ones are distinguishing when determining the final attribute which is the response of customers. Following that, several data classification algorithms will be applied and the one which has the best accuracy rate will be proposed to the company. By the help of this tool. SMSs can be sent to the customers considering those attributes and the company can reach right group of people who will do shopping at stores after those informative SMSs.
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E-Ticaret Müşteri Davranışını Tahmin Etmek İçin Bir Veri Madenciliği Yaklaşımı
(2018-06) Altunan, Büşra; Arslan, Ebru Dilara; Seyis, Merve; YÜKSEKTEPE, FADİME ÜNEY; 108243
1841 yılında kurulan Watsons, 11 farklı pazarda 6300'den fazla mağaza ile dünyanın önde gelen güzellik ve kişisel bakım endüstrilerinden biridir.280 Watsons mağazasına ek olarak, online alışveriş de Türk müşterileri için bir alternatiftir. Mevcut eğilimler nedeniyle, birçok müşteri online alışverişi tercih etmektedir. Müşterilerden bazıları, ürünlerini market sepetlerine eklemekte, ancak maalesef, satın almadan web sitesinden ayrılmaktadırlar. Bu durum, e-ticaret perakendecilerinin çoğu için önemli bir soruna neden olmaktadır. Bu projede, web sitesi ziyaretleri sırasında müşterinin davranışını tahmin etmek için bir veri madenciliği yaklaşımı gerçekleştirilecektir. İlk adımda, web sitesi müşterisinin belirli bir gün için demografik ve davranışsal verileri toplanacaktır. İkinci adımda, veriler ön işlemeden geçirilecek ve eksik değerler kontrol edilecektir. Bir müşterinin satın alıp almayacağını öngörmek için önemli özellikler belirledikten sonra, en doğru veri sınıflandırma yöntemi WEKA kullanılarak belirlenecektir. Web sitesini ziyaret eden müşterilerin alışveriş yapıp yapmama konusundaki eğilimini tahmin etmek için bir karar destek sistemi önerilecektir. Sonuç olarak, şirket müşterinin davranışını web sitesine ilk girişinde tahmin etmesine faydalı olacak bir yöntem önerilecektir.
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From 1D to 3D Membership:Sphericalfuzzy Sets
(2019-09) Kahraman, Cengiz; GÜNDOĞDU, FATMA KUTLU; 273471
All the extensions of ordinary fuzzy sets with three dimensional membership functions such as intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), and neutrosophic fuzzy sets (NFS) aim at defining the judgments of decision makers/ experts with a more detailed description. Introduction of generalized three dimensional spherical fuzzy sets including some essential differences from the other fuzzy sets is presented in this paper. The new type of fuzzy sets is based on the spherical relations and arithmetic operations involving addition, subtraction and multiplication are presented together with their proofs. Aggregation operators, score and accuracy functions are developed. The multi-criteria decision making method TOPSIS is extended to spherical fuzzy TOPSIS and an illustrative example is presented. A comparative analysis with intuitionistic fuzzy TOPSIS is also given.
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Fuzzy C-Means Algorithm with fixed cluster centers for uncapacitated facility location problems: Turkish case study
(2014) Esnaf, Şakir; Küçükdeniz, Tarık
In this study, a new algorithm to solve uncapacitated facility location problems is proposed. The algorithm is a special version of original fuzzy c-means (FCM) algorithm. In FCM algorithm, unlabeled data are clustered and the cluster centers are determined according to priori known stopping criterion iteratively. Unlike the original FCM, the proposed algorithm allows the unlabeled data are to be assigned with single iteration to related clusters centers, which are assumed to be fixed and known a priori like location of facilities according to their degrees of membership. First, the proposed algorithm is applied to various benchmark problems from literature and compared with integer programming. Second, the proposed algorithm is tested and compared with particle swarm optimization (PSO) and artificial bee colony optimization (ABC) algorithms based uncapacitated facility location method on alternative versions such as discrete, continuous, discrete with local search and continuous with local search in literature for a Turkish fertilizer producer's real data. Numerical results obtained from real life application show that the proposed algorithm outperforms the PSO-based and ABC-based algorithms.
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Hasta ve Hasta Yakınları Tarafından Sağlık Çalışanlarına Karşı Uygulanmakta Olan Şiddet Vakalarının Nedenleri ve Çözüm Önerileri
(2019-06) Tarhan, İbrahim Ethem; 114926
Ülkemizde her geçen gün hekimlere hastalar tarafından sözlü ve fiziki saldırılar yapılmaktadır. Basında yer alan ölümle ve ağır yaralanmalarla sonuçlanan benzer vakaların artış göstermesi toplumumuzda büyük üzüntülere neden olmaktadır. Bu sosyal problemi iyileştirmek için eğitim sistemimizi yeniden gözden geçirmekte fayda vardır. İlkokul, ortaokul ve lisedeki ders programları ile tıp fakültelerindeki ders programlarına iletişim, insan ilişkileri, davranış bilimi, iş etiği ve hukuk derslerinin devreye sokulması, mevcut olan benzer derslerin sayılarının arttırlması hekim, hasta ilişikilerini olumlu yönde etkileyebilecek, sözü geçen tatsız vakaların azalmasına neden olabilecektir. İkinci önemli husus ise; özellikle kamu sağlık kuruluşlarındaki doktorlara uygulanan çalışma yöntemleridir. Örneğin, hasta randevuları 3 ve 5 dakika kısa süreli aralarla planlanmakta, doktorlar bir günde yüze yakın hastayı muayene etmek zorunda kalmaktadır. Ayrıca, özellikle cerrahların nöbet sürelerinde iki güne yakın bir süre boyunca çalışmalarına devam ettirilmeleri; sağlık hizmetlerinin kalitesini düşürdüğü gibi, cerrahların da çalışma motivasyonlarını olumsuz yönde etkilemektedir. Üçüncü önemli husus ise; hekimlerin ve hastaların sağlık hukuku açısından hakları ve sorumlulukları hakkında yeterli bilgiye sahip olabilmeleri için, hastane yönetimlerinin eğitim programları düzenlemesi ve bu konuyu gündemlerinde en ön sırada tutmaları ile birlikte, sözü geçen iyileştirme çalışmalarının sürekli takibini ve değerlendirmelerini sağlamalıdırlar.Bu çalışmada, ülkemizde sağlık çalışanlarına karşı uygulanmakta olan şiddet vakalarının nedenleri araştırılacak ve çözüm önerileri sunulacaktır.
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Hastane Yeri Seçiminde Küresel Bulanık TOPSIS Yöntemi
(2019-06-11) GÜNDOĞDU, FATMA KUTLU; 273471
Sezgisel bulanık kümeler (IFS), Pisagor bulanık kümeleri (PFS) ve nötrosofık kümeler (NS) gibi sıradan bulanık kümelerin üç boyutlu uzantıları, uzmanların kararlarını daha bilgilendirici ve açık bir şekilde tanımlamalarını amaçlamaktadır. Diğer bulanık kümelerden bazı temel farklılıklar içeren üç boyutlu küresel bulanık kümelerin (SFS) tanıtımı literatüre kazandırılmıştır (Kutlu Gündoğdu & Kahraman, 2018). Küresel bulanık kümeler (SFS) adı verilen yeni bulanık kümeler, karar vericiler için daha geniş bir tercih alanı sağlar ve karar vericiler, bir kritere göre alternatif hakkındaki kararsızlık derecelerini de üyelik ve üyesizlik derecelerinden bağımsız olarak tanımlayabilirler. Küresel bulanık kümelerin teorik temeli, Pisagor bulanık kümelerin daha geniş alan yaklaşımına ve nötrosofık kümelerin kararsızlığı bağımsız olarak tanımlama varsayımına dayanmaktadır. Küresel bulanık kümeler bu iki yaklaşımı da tek bir teoride bir araya getirir. Aritmetik işlemler ve yığıştırma operatörleri literatürde daha önce verilmiştir. Çok ölçütlü karar verme problemlerinde sıklıkla kullanılan uzaklık ölçümüne dayalı klasik TOPSIS metodu yerine daha geniş bir tercih alanını ve kararsızlık derecelerini de hesaba katan küresel bulanık kümeler temelli TOPSIS (SF-TOPSIS) metodu kullanılacaktır. Bu yöntem küresel bulanık kümeleri literatüre kazandıran kişiler tarafından daha önce önerilmiştir.Bununla birlikte, henüz sağlık sektöründe uygulamaları literatürde yer almamaktadır. Bu çalışmada, küresel bulanık kümeler temelli TOPSIS metodu kullanılarak birden fazla uzman, pek çok ölçüt ve alternatif göz önüne alınarak hastane yer seçimi problemine bir çözüm sunulacaktır.

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Browsing Endüstri Mühendisliği Bölümü / Department of Industrial Engineering by Rights "Attribution-NonCommercial-NoDerivs 3.0 United States"