Konya Teknik Üniversitesi (original) (raw)

Papers by Orhan Engin

Selcuk University Journal of Engineering, Science and Technology, 2010

MultiAgent Systems (MAS) is a subfield of Artificial Intelligence which is designed by communica... more MultiAgent Systems (MAS) is a subfield of Artificial Intelligence which is designed by communicating two or more agent in an environment. In this paper, MAS which have been applied for industrial problems for ten years successfully, its sub fields and search algorithms are introduced. Literature review about application of MAS is explained. A model for solving cargo transportation problem with MAS is developed. For this purpose, randomly forming cargo transportation problems have been modeled with MAS. Finally, it is seen that MAS gives an optimum solutions in a short computation times.

International Journal of Computational Intelligence Systems, May 1, 2008

This paper addresses the Hybrid Flow Shop (HFS) scheduling problems to minimize the makespan valu... more This paper addresses the Hybrid Flow Shop (HFS) scheduling problems to minimize the makespan value. In recent years, much attention is given to heuristic and search techniques. Genetic algorithms (GAs) are also known as efficient heuristic and search techniques. This paper proposes an efficient genetic algorithm for hybrid flow shop scheduling problems. The proposed algorithm is tested by Carlier and Neron's (2000) benchmark problem from the literature. The computational results indicate that the proposed efficient genetic algorithm approach is effective in terms of reduced total completion time or makespan (C max) for HFS problems.

İSTANBUL AYDIN ÜNİVERSİTESİ SOSYAL BİLİMLER DERGİSİ

ÖZ Turizm sektörü, hizmet odaklı olması sebebiyle teknolojik gelişmelerden uzak gibi algılansa da... more ÖZ Turizm sektörü, hizmet odaklı olması sebebiyle teknolojik gelişmelerden uzak gibi algılansa da, aslında söz konusu gelişmelerin tamamından büyük ölçüde etkilenmektedir. Bu gelişmelerin kökeninde endüstri devrimlerinin bulunması sebebiyle, sektörün Endüstri 4.0 devriminden etkilenmemesi de mümkün gözükmemektedir. Bu çalışmada, turizm sektöründe teknolojik gelişmelerin etkileri incelenmiştir. Turizm sektöründe gerçekleştirilebilecek teknolojik uygulamalara ışık tutulabilmesi amacıyla, Endüstri 4.0'ı temel alan çeşitli anahtar kelimelerle, ilgili konaklama sektöründe son 20 yılda yapılan araştırmalar incelenmiştir. Araştırmaların, büyük veri, sanal gerçeklik, arttırılmış gerçeklik, turist yönlendirme sistemleri, nesnelerin interneti, sosyal medya ile web sayfalarının analizi ve mobil uygulamalar ile ilgili konularda olduğu belirlenmiştir. Çalışmalarda kullanılan verilerin, genel olarak web sayfalarından veya turistlerin değerlendirmelerinden elde edildiği görülmüştür. Verinin elde edilmesi, işletmeler açısından önemli olup, güvenliğinin de sağlanması gerekmektedir. Literatürde, mobil uygulamalara yönelik çalışmalar

Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making, 2019

In recent years, process mining has been used throughout the world to contribute to the managemen... more In recent years, process mining has been used throughout the world to contribute to the management and development of business processes. Various works have been taken on the steps of process mining and how to analyze business processes. Process mining is of great importance in terms of reducing costs in different sectors, making process improvements and especially shortening times of processes. In this study, the real estate processes offered by the bank are discussed. In real estate transactions, there are processes that differ with many variables. These transactions, these process is long and complicated because of have more checkpoints and operations. Furthermore, end-to-end analysis becomes more difficult because it contains more than one subprocess and integration. Because the processes are not standardized, efficiency studies cannot be disciplined. Records of bank real estate processes obtained over time cannot be used efficiently in process development studies. In the resear...

Journal of the Faculty of Engineering and Architecture of Gazi University, 2012

Energy resources are classified as renewable and non-renewable in general. Non renewable energy r... more 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.

Özet Piyasadaki ürünlerin büyük bir hızla tüketildiği, tüketimin üretici firmalar tarafından özen... more Özet Piyasadaki ürünlerin büyük bir hızla tüketildiği, tüketimin üretici firmalar tarafından özendirildiği ve teşvik edildiği günümüzde, doğal kaynaklar da hızla tüketilmektedir. Tüketilip bir kenara atılan kaynaklar tekrar kullanılamamakta ve her geçen gün büyüyen kirlilik problemlerine sebep olmaktadırlar. Dünyamızı etkileyen bu büyük problem karşısında gelişmiş ülkeler, çevre koruma dernekleri ve üniversitelerin de katkılarıyla, doğal kaynakların tüketilmesi ve tüketim sonunda oluşan atık sorunlarına çözüm bulabilmek için yeniden üretim tekniklerini geliştirmişlerdir. Bu çalışmada, alternatif bir üretim şekli olan yeniden üretim incelenmiştir. Yeniden üretimin kullanım alanları araştırılmış, yeniden üretimde karşılaşılan sorunlara değinilmiş ve geliştirilen çözümler incelenmiştir. Araştırma sonucunda, yeniden üretimin faydaları ve ülke ekonomileri üzerindeki etkileri irdelenmiştir.

Journal of Intelligent & Fuzzy Systems

The membership functions of the intuitionistic fuzzy sets, Pythagorean fuzzy sets, neutrosophic s... more The membership functions of the intuitionistic fuzzy sets, Pythagorean fuzzy sets, neutrosophic sets and spherical fuzzy sets are based on three dimensions. The aim is to collect the expert’s judgments. Physicians serve patients in the physician selection problem. It is difficult to measure the service’s quality due to the variability in patients’ preferences. The patients physician preference criteria is differing and uncertainties. Thus, solving this problem with fuzzy method is more appropriate. In this study, we considered the physician selection as a multi-criteria decision-making problem. Solving this problem, we proposed a spherical fuzzy TOPSIS method. We used the five alternatives and eight criteria. The application was performed in the neurology clinics of Konya city state hospitals. In addition, we solved the same problem by the intuitionistic fuzzy TOPSIS method. We compared the solutions of two methods with each other. We found that the spherical fuzzy TOPSIS method is ...

Bu çalışmada Akış tipi çizelgeleme problemlerinin Genetik algoritma ile ç&ou... more Bu çalışmada Akış tipi çizelgeleme problemlerinin Genetik algoritma ile çözümünde çözüm süresi ve kalitesi üzerinde etkin olan üreme operatörü belirlenmiştir. Literatürde kullanılan Akış zamanlı rulet çemberi ve Yapay seçim yöntemi ile yeni geliştirilen Kısmi yapay seçim, Makine verimli rulet çemberi ve Ters yapay seçim üreme yöntemleri farklı büyüklükteki 10 problem üzerinde denenmiştir. İşlem süreleri, üniform dağılıma uygun olarak ?1-25? dakika arasında rassal olarak üretilen problemler üzerinde yapılan toplam 1250 adet deney sonucunda, akış tipi çizelgeleme problemlerinin Genetik algoritma ile çözümünde, iki makine problemleri için kısmı yapay seçim; çok makine problemleri için akış zamanlı rulet çemberi iyi performans göstermiştir Ana...

Fixed Job Scheduling (FJS) is defined as the arrangement of the works, which have fixed ready tim... more Fixed Job Scheduling (FJS) is defined as the arrangement of the works, which have fixed ready times and deadlines in a shift with particular number of machines. In fixed job scheduling problems, the objective is to select a set of jobs for processing so as to maximize the total weight. This problem is known to be NP-hard. The Fixed job scheduling problem has two variants based on objective functions (Eliiyi, Azizoğlu, 2006). The first variant is the Operational Fixed Job Scheduling (OFS), where each job j has a weight wj that represents its value or relative importance, and the concern is maximizing the total weight of the processed jobs with a given number of processors. The second variant is the tactical fixed job scheduling problem, which considers the minimization of the total cost or the number of the machines needed to process all jobs (Eliiyi, Azizoğlu, 2006). FJS has been studied extensively in recent years. Arkin and Silvenberg (1987) analyzed the jobs scheduling prob...

SN Applied Sciences, 2020

Hybrid flow shop (HFS) scheduling problem is combining of the flow shop and parallel machine sche... more Hybrid flow shop (HFS) scheduling problem is combining of the flow shop and parallel machine scheduling problem. Hybrid flow shop with multiprocessor task (HFSMT) scheduling problem is a special structure of the hybrid flow shop scheduling problem. The HFSMT scheduling is a well-known NP-hard problem. In this study, a new memetic algorithm which combined the global and local search methods is proposed to solve the HFSMT scheduling problems. The developed new memetic global and local search (MGLS) algorithm consists of four operators. These are natural selection, crossover, mutation and local search methods. A preliminary test is performed to set the best values of these developed new MGLS algorithm operators for solving HFSMT scheduling problem. The best values of the MGLS algorithm operators are determined by a full factorial experimental design. The proposed new MGLS algorithm is applied the 240 HFSMT scheduling instances from the literature. The performance of the generated new MGLS algorithm is compared with the genetic algorithm (GA), parallel greedy algorithm (PGA) and efficient genetic algorithm (EGA) which are used in the previous studies to solve the same set of HFSMT scheduling benchmark instances from the literature. The results show that the proposed new MGLS algorithm provides better makespan than the other algorithms for HFSMT scheduling instances. The developed new MGLS algorithm could be applicable to practical production environment.

Advances in Intelligent Systems and Computing, 2020

In this study, it is done that the evaluation of neurology clinics of two hospitals under the Min... more In this study, it is done that the evaluation of neurology clinics of two hospitals under the Ministry of Health and their physicians, considering patient preferences. While effective service policies and procedures of hospitals increase customer satisfaction, the performance of physicians ensures preferability. Therefore, measuring satisfaction and performance is crucial for management. However, measurement includes many challenges in connection with many factors and uncertainty on these factors. Thus, neutrosophic multi-criteria decision-making methods have been particularly chosen to overcome these challenges in this study. The related literature on the subject shows that easy access, cleaning and comfort, technological infrastructure, and equipment, total service time, physicians' communication skills, recognition of physicians, treatment effectiveness, treatment rate, academic career are the main criteria. The values of weights for these criteria and the physicians ranking based on the values of those weights were found by using the Neutrosophic Analytical Hierarchy Process (N-AHP). It has been validated that the ranking is fitting to patient preferences in the Central Physicians Appointment System. As a result, the recommended method can be effectively used in selecting physicians.

Engineering Sciences, 2011

Bir i? atolyesinde, her i?in onceden belirlenmi? bir rotasy vardyr. Pratikte, i?in gidi?atynyn on... more Bir i? atolyesinde, her i?in onceden belirlenmi? bir rotasy vardyr. Pratikte, i?in gidi?atynyn onemsiz hale gelip karar vermenin programcyya kalmasy durumu co?unlukla gercekle?ir. Y?in gidi?aty acyk uclu oldu?u zamanlarda model, bir acyk atolye cizelgeleme olarak adlandyrylyr (Pinedo, 2008). Acyk atolye cizelgeleme problemlerinin bircok turu, NP-Zor olarak bilinmektedir. Acyk atolye cizelgeleme modeli, bircok gercek cizelgeleme cevresinde meydana gelmesi nedeniyle oldukca fazla ara?tyrma ilgisi toplamy? ve acyk atolyelerin seri olmayan cizelgelemeleri uzerinde bircok caly?ma yapylmaktadyr. Bu caly?mada, acyk atolye tipi cizelgeleme problemlerinin cozumu icin metasezgisel yontemlerden olan ve yapay zekâ tekniklerinden kabul edilen, paralel doyumsuz algoritma onerilmi?tir. Hazyrlanan program yardymy ile belirlenen acyk atolye tipi cizelgeleme problemi icin optimale yakyn cozumler ara?tyrylmy?tyr.

Bu calismada Akis tipi cizelgeleme problemlerinin Genetik algoritma ile cozumunde cozum suresi ve... more Bu calismada Akis tipi cizelgeleme problemlerinin Genetik algoritma ile cozumunde cozum suresi ve kalitesi uzerinde etkin olan ureme operatoru belirlenmistir. Literaturde kullanilan Akis zamanli rulet cemberi ve Yapay secim yontemi ile yeni gelistirilen Kismi yapay secim, Makine verimli rulet cemberi ve Ters yapay secim ureme yontemleri farkli buyuklukteki 10 problem uzerinde denenmistir. Islem sureleri, uniform dagilima uygun olarak ?1-25? dakika arasinda rassal olarak uretilen problemler uzerinde yapilan toplam 1250 adet deney sonucunda, akis tipi cizelgeleme problemlerinin Genetik algoritma ile cozumunde, iki makine problemleri icin kismi yapay secim; cok makine problemleri icin akis zamanli rulet cemberi iyi performans gostermistir Anahtar Kelimeler: Cizelgeleme, Genetik Algoritma, ureme yontemi, parametre optimizasyonu.

Acik Atolye Tipi Cizelgeleme (AATC) problemi temelde, her bir isin her makinede islem gormesi ger... more Acik Atolye Tipi Cizelgeleme (AATC) problemi temelde, her bir isin her makinede islem gormesi gerekensadece bir isleminin bulundugu ve islem sirasinin onemli olmadigi bir cizelgeleme problemidir. Cogunluklabenzer urun gruplarinin uretildigi tesislerde gorulmektedir. Bu calismada, AATC problemleri toplamtamamlanma zamaninin minimizasyonuna yonelik, rassal ziplama teknigi ile isleyen Paralel KanguruAlgoritmasi (PKA) ile cozulmustur. PKA, surekli daha iyi cozumlere ulasmaya calisan meta-sezgisel biryontemdir. Literaturde yer alan AATC; kiyas problemleri, vahsi ve evcil iki kanguru operatorunun paralelcalistirildigi, Kanguru Algoritmasi (KA) ile cozulmustur. Elde edilen degerler, literaturde daha once ulasilan eniyi sonuclar ile karsilastirilmistir. PKA’nin AATC problemlerinin cozumunde etkin bir yontem oldugubelirlenmistir.

Bir is atolyesinde, her isin onceden belirlenmis bir rotasi vardir. Pratikte, isin gidisatinin on... more Bir is atolyesinde, her isin onceden belirlenmis bir rotasi vardir. Pratikte, isin gidisatinin onemsiz hale gelip karar vermenin programciya kalmasi durumu cogunlukla gerceklesir. Isin gidisati acik uclu oldugu zamanlarda model, bir acik atolye cizelgeleme olarak adlandirilir (Pinedo, 2008). Acik atolye cizelgeleme problemlerinin bircok turu, NP-Zor olarak bilinmektedir. Acik atolye cizelgeleme modeli, bircok gercek cizelgeleme cevresinde meydana gelmesi nedeniyle oldukca fazla arastirma ilgisi toplamis ve acik atolyelerin seri olmayan cizelgelemeleri uzerinde bircok calisma yapilmaktadir. Bu calismada, acik atolye tipi cizelgeleme problemlerinin cozumu icin metasezgisel yontemlerden olan ve yapay zekâ tekniklerinden kabul edilen, paralel doyumsuz algoritma onerilmistir. Hazirlanan program yardimi ile belirlenen acik atolye tipi cizelgeleme problemi icin optimale yakin cozumler arastirilmistir. Anahtar Kelimeler: Acik Atolye Cizelgeleme, Metasezgisel Yontemler, Paralel Doyumsuz Algo...