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Öğe Açık Atölye Ti?pi? Çi?zelgeleme Problemleri?ni?n Paralel Kanguru Algori?tması ile Çözümü(GAZI UNIV, FAC ENGINEERING ARCHITECTURE, 2012) Baysal, M. Emin; Durmaz, Taha; Sarucan, Ahmet; Engin, OrhanThe 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.Öğe Açık Atölye Ti?pi? Çi?zelgeleme Problemleri?ni?n Paralel Kanguru Algori?tması ile Çözümü(2012) Baysal, M. Emin; Durmaz, Taha; Sarucan, Ahmet; Engin, OrhanThe 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.Öğe An adaptive learning approach for no-wait flowshop scheduling problems to minimize makespan(ATLANTIS PRESS, 2011) Engin, Orhan; Gunaydin, CengizNo-wait flowshop scheduling problem (NW-FSSP) with the objective to minimize the makespan is an important sequencing problem in the production plans and applications of no-wait flowshops can be found in several industries. In a NW-FSSP, jobs are not allowed to wait between two successive machines. The NW-FSSPs are addressed to minimize makespan and the NW-FSSP is known as a NP- Hard problem. In this study, Agarwal et al.'s(1) adaptive learning approach (ALA) is improvement for NW-FSSPs. Improvements in adaptive learning approach is similar to neural-network training. The improvement adaptive learning approach (IALA) is applied to all of the 192 problems. The proposed IALA method for NW-FSSP is compared with Aldowaisan and Allahverdi's(2) results by using Genetic heuristic. The results of computational experiments on randomly generated NW-FSSPs are show that the proposed adaptive learning approach performs quite well.Öğe Akış Tipi Çizelgeleme Problemlerinin Genetik Algoritma Yardımı ile Çözümünde Uygun Çaprazlama Operatörünün Belirlenmesi(2002) Engin, Orhan; Fığlalı, AlpaslanBu çalışmada tamamlanma zamanı (Cmax) kriterli akış tipi çizelgeleme problemlerinin Genetik algoritma yardımı ile çözümünde uygun çaprazlama operatörünün belirlenmesine çalışılmıştır. Genetik algoritmanın çözüm performansını önemli ölçüde etkileyen parametrelerden birisi olan çaprazlama operatörünün akış tipi çizelgeleme problemleri için en etkinini belirlemek amacıyla bu tip problemlerin çözümüne uygun olan altı ayrı çaprazlama operatörü; işlem süreleri [1-1000] dakika aralığında üniform dağılıma göre rassal olarak oluşturulan iki makine-çok iş ve J. Carlier (1978) tarafından geliştirilen ve işlem süreleri [1- 1000] dakika aralığında değişen çok makine-çok iş problemleri üzerinde test edilmiştir. Etkin çaprazlama yönteminin makine sayısına bağlı olarak değiştiği belirlenmiştir.Öğe Ant Colony Metaheuristic and an application on traveling salesman problem(2005) Alaykıran, Kemal; Engin, OrhanAnt Colony Optimization Metaheuristic is a population-based, random search algorithm. Ant Colony Optimization Metaheuristic is influenced by the observation of the natural food foraging processes of ant colonies. In this study, the first algorithm of ant colony optimization metaheuristic - ant system (AS)- is introduced, the formulation and the mechanism of the algorithm is given. In addition, the improved AS algorithms - Max-Min AS and Rank-Based AS- are introduced. Moreover, a literature overview of AS applications since 1992 are given. Furthermore, some of the traveling salesman problems existing in the literature are solved using a computer program coded using Visual Basic for Ant Colony Optimization Metaheuristic and the results are compared with optimum tour lengths of these problems.Öğe AN APPLICATION OF EFFECTIVE GENETIC ALGORITHMS FOR SOLVING HYBRID FLOW SHOP SCHEDULING PROBLEMS(ATLANTIS PRESS, 2008) Kahraman, Cengiz; Engin, Orhan; Kaya, Ihsan; Yilmaz, Mustafa KerimThis 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.Öğe Artificial Immune Systems and Applications in Industrial Problems(2004) Engin, Orhan; Döyen, AlperYapay bağışıklık sistemleri (YBS), teorik bağışıklık bilimi, gözlenen bağışıklık fonksiyonları, prensipleri ve mekanizmalarından ilham alan ve karmaşık hesaplama problemlerini çözmek için geliştirilmiş bir hesaplama tekniğidir. Bu makalede, Yapay Bağışıklık Sistemlerinin tanımı, problem çözme tekniği ve endüstriyel uygulamaları yer almaktadır. Çözüm zamanı polinomiyal olmayan (Non Polinomial-NP) problemler kapsamında yer alan endüstriyel problemleri çözmek için son yıllarda geliştirilen yapay zeka tekniklerinden bir kısmı biyolojik tabanlı algoritmalardır. Bunlar; Genetik Algoritmalar, Karınca Kolonileri ve Yapay Bağışıklık Sistemleridir: Bu makalede ayrıca biyolojik tabanlı iki yöntem olan Yapay Bağışıklık Sistemleri ile Genetik Algoritma teknikleri karşılaştırılarak, güçlü ve zayıf yönleri belirlenmeye çalışılmıştır.Öğe Bir seyahat işletmesinde müşteri memnuniyetinin ölçülmesi(Selçuk Üniversitesi İktisadi ve İdari Bilimler Fakültesi, 2003) Altan, Mikail; Engin, OrhanMüşteri memnuniyeti; bir işletmenin ürün ya da hizmetleri kullanması sonucu müşterinin bu ürün ya da hizmetin değeri, niteliği ve özellikleri hakkındaki olumlu ya da olumsuz duygularının tamamıdır. Bu çalışmada şehirler arası taşımacılık yapan bir seyahat işletmesinde müşteri memnuniyeti ölçülmeye çalışılmıştır. Seyahat işletmesinde, yolcuların seyahatleri sonunda; ağırlama, bakım temizlik, konuğa saygı, kaptanın ve host / hosteslerin tutumu, rezervasyon ve bilet satış hizmetleri, ikram ve servis konularında anket yardımı ile görüş bildirmeleri istenmiştir. Ayrıca ankette, kaptanın performansını değerlendirmek amacı ile toplam dokuz görüş yolculara yöneltilmiş ve kaptanı 1 den 10 puana kadar puanlandırmaları istenmiştir. Veriler SPSS paket programında değerlendirilmiştir. Buna göre seyahatin genel değerlendirmesine etki eden faktörlerin önem sıralamasında kaptan birinci sırada yer alırken, ikram ve servis ikinci sırada, rezervasyon ve bilet satış üçüncü sırada, konuğa saygı dördüncü sırada, ağırlama beşinci sırada , host-hostes altıncı sırada, bakım ve temizlik yedinci sırada yer almıştır.Öğe Bir Seyahat İşletmesinde Müşteri Memnuniyetinin Ölçülmesi(Selçuk Üniversitesi, 2004) Altan, Mikail; Engin, OrhanMüşteri memnuniyeti; bir işletmenin ürün ya da hizmetleri kullanması sonucu müşterinin bu ürün ya da hizmetin değeri, niteliği ve özellikleri hakkındaki olumlu ya da olumsuz duygularının tamamıdır. Bu çalışmada şehirler arası taşımacılık yapan bir seyahat işletmesinde müşteri memnuniyeti ölçülmeye çalışılmıştır. Seyahat işletmesinde, yolcuların seyahatleri sonunda; ağırlama, bakım temizlik, konuğa saygı, kaptanın ve host / hosteslerin tutumu, rezervasyon ve bilet satış hizmetleri, ikram ve servis konularında anket yardımı ile görüş bildirmeleri istenmiştir. Ayrıca ankette, kaptanın performansını değerlendirmek amacı ile toplam dokuz görüş yolculara yöneltilmiş ve kaptanı 1 den 10 puana kadar puanlandırmaları istenmiştir. Veriler SPSS paket programında değerlendirilmiştir. Buna göre seyahatin genel değerlendirmesine etki eden faktörlerin önem sıralamasında kaptan birinci sırada yer alırken, ikram ve servis ikinci sırada, rezervasyon ve bilet satış üçüncü sırada, konuğa saygı dördüncü sırada, ağırlama beşinci sırada , host-hostes altıncı sırada, bakım ve temizlik yedinci sırada yer almıştır.Öğe Çok temsilcili sistemler ve kargo taşıma problemleri üzerine bir uygulama(Selçuk Üniversitesi Mühendislik-Mimarlık Fakültesi, 2010) Engin, Orhan; Karaoğlan, İsmailÇok Temsilcili Sistemler (ÇTS), iki ya da daha fazla ajanın (temsilci) aralarında iletişim kurarak bir çevre içerisinde etkileşim göstermesi ile oluşan, yapay zekânın bir alt dalıdır. Bu çalışmada; son on yılda endüstriyel problemlerin çözümünde başarılı olarak kullanılan ÇTS ve alt sistemleri üzerinde durulmuştur. ÇTS’de kullanılan arama algoritmalarına değinilmiştir. ÇTS ile ilgili son yıllarda yapılan çalışmalar literatür özeti olarak sunulmuştur. Uygulama bölümünde de kargo taşıma problemlerinin ÇTS ile çözümüne ilişkin bir model önerilmiştir. Bu amaç için, farklı ölçeklerde rastsal olarak oluşturulan kargo taşıma problemleri, ÇTS yardımı ile modellenmiştir. Sonuç olarak, ÇTS ile çok kısa sürelerde en iyi çözümlere ulaşıldığı görülmüştür.Öğe An efficient genetic algorithm for hybrid flow shop scheduling with multiprocessor task problems(ELSEVIER, 2011) Engin, Orhan; Ceran, Gulsad; Yilmaz, Mustafa K.The hybrid flow shop scheduling with multiprocessor task (HFSMT) problem is a substantial production scheduling problem for minimizing the makespan, and there exist many difficulties in solving large scale HFSMT problems which include many jobs, machines and tasks. The HFSMT problems known as NP-hard and the proposal of an efficient genetic algorithm (GA) were taken into consideration in this study. The numerical results prove that the computational performance of a GA depends on the factors of initial solution, reproduction, crossover, and mutation operators and probabilities. The implementation details, including a new mutation operator, were described and a full factorial experimental design was determined with our GA program by using the best values of the control parameters and the operators. After a comparison was made with the studies of Oguz [1], Oguz and Ercan [2] and Kahraman et al. [3] related to the HFSMT problems, the computational results indicated that the proposed genetic algorithm approach is very effective in terms of reduced total completion time or makespan (C-max) for the attempted problems. (C) 2010 Elsevier B. V. All rights reserved.Öğe Elektronik ticarette meta sezgisel yöntemlerin kullanımı(Selçuk Üniversitesi Teknik Bilimler Meslek Yüksekokulu, 2008) Karaca, İsmail Hakkı; Engin, OrhanSağladığı zaman tasarrufu ve maliyet avantajı nedeni ile hem kullanıcılar hem de hizmet sunucuları tarafından sıklıkla kullanılır hale gelen internetin, önümüzdeki yıllarda daha farklı açılımlara sahne olacağı aşikârdır. İnternetin kullanım alanındaki hızlı artışı, beraberinde çeşitli problemleri ortaya çıkarmış ve bunlara yönelik çözüm önerileri sunmayı zorunlu hale getirmiştir. Bu doğrultuda, internet kullanıcılarının istedikleri bilgiye zaman kaybetmeden ulaşmalarını sağlamak için, çeşitli analizler yapılmıştır. Bugüne kadar meta sezgisel yöntemler, farklı konulardaki bu tip problemlerin çözümünde sıklıkla kullanılmıştır. Bu araştırmada, elektronik ticaret uygulamaları kısaca izah edilmiş ve son yıllarda elektronik ortamlarda yaşanan problemlere çözüm bulunması konusunda, meta sezgisel yöntemlerin kullanımı ile ilgili literatür de yapılan çalışmalar araştırılarak kısaca izah edilmiştir.Öğe A fuzzy approach to define sample size for attributes control chart in multistage processes: An application in engine valve manufacturing process(ELSEVIER, 2008) Engin, Orhan; Celik, Ahmet; Kaya, IhsanControl charts are a basic means for monitoring the quality characteristics of processes to ensure the required quality level. Determine the sample size is a problem for attribute control charts (ACC). Kaya and Engin [I. Kaya, O. Engin, A new approach to define sample size at attributes control chart in multistage processes: an application in engine piston manufacturing process, J. Mater. Process. Technol. 183 (2007) 38-48] developed a model to determine sample size in multistage process and it was solved by Genetic Algorithms (GAs). In their model, the parameters such as defective item rates for raw materials and benches were assumed to be known exactly. But in many real world applications, these parameters may be changed very dynamically due to material, human factors or operating faults. In this study a fuzzy approach for ACC in multistage process is presented and it is solved by GAs. Formulations of this model are calculated based on acceptance sampling approach and, two main parameters are determined for every stage by GAs. These are: sample size, n, and acceptance number, c. The sample size, n, is suggested for ACC. The main contributions of this paper are to develop a fuzzy model for ACC in multistage processes. The proposed approach is applied in an engine valve manufacturing firm and the model is solved by GAs. (c) 2008 Elsevier B.V. All rights reserved.Öğe A GREEDY ALGORITHM FOR MULTIOBJECTIVE FUZZY FLOW-SHOP SCHEDULING PROBLEM(WORLD SCIENTIFIC PUBL CO PTE LTD, 2012) Engin, Orhan; Yılmaz, M. Kerim; Akkoyunlu, Mehmet Cabir; Baysal, M. Emin; Sarucan, AhmetIn 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.Öğe A HARMONY SEARCH ALGORITHM FOR HYBRID FLOW SHOP SCHEDULING WITH MULTIPROCESSOR TASK PROBLEMS(IEEE, 2015) Akkoyunlu, Mehmet Cabir; Engin, Orhan; Buyukozkan, KadirMultiprocessor task can be stated as finding a schedule for a general graph to execute on a multiprocessor system. In this paper an efficient harmony search algorithm (HSA) is proposed to solve the hybrid flow shop scheduling with multiprocessor task problems (HFSMTP). The best values of HFS's control parameters are determined by full factorial design. Computational results are compared with the genetic algorithm related to the HFSMTP at the literature. The result showed that the proposed HSA is effective for solving HFSMTP.Öğe A Hierarchy Grey Relational Analysis for Selecting the Renewable Electricity Generation Technologies(INT ASSOC ENGINEERS-IAENG, 2011) Sarucan, Ahmet; Baysal, M. Emin; Kahraman, Cengiz; Engin, OrhanEnergy 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.Öğe Hybrid flow shop with multiprocessor task scheduling based on earliness and tardiness penalties(EMERALD GROUP PUBLISHING LTD, 2018) Engin, Orhan; Engin, BatuhanPurpose Hybrid flow shop with multiprocessor task (HFSMT) has received considerable attention in recent years. The purpose of this paper is to consider an HFSMT scheduling under the environment of a common time window. The window size and location are considered to be given parameters. The research deals with the criterion of total penalty cost minimization incurred by earliness and tardiness of jobs. In this research, a new memetic algorithm in which a global search algorithm is accompanied with the local search mechanism is developed to solve the HFSMT with jobs having a common time window. The operating parameters of memetic algorithm have an important role on the quality of solution. In this paper, a full factorial experimental design is used to determining the best parameters of memetic algorithm for each problem type. Memetic algorithm is tested using HFSMT problems. Design/methodology/approach First, hybrid flow shop scheduling system and hybrid flow shop scheduling with multiprocessor task are defined. The applications of the hybrid flow shop system are explained. Also the background of hybrid flow shop with multiprocessor is given in the introduction. The features of the proposed memetic algorithm are described in Section 2. The experiment results are presented in Section 3. Findings Computational experiments show that the proposed new memetic algorithm is an effective and efficient approach for solving the HFSMT under the environment of a common time window. Originality/value There is only one study about HFSMT scheduling with time window. This is the first study which added the windows to the jobs in HFSMT problems.Öğe Information systems outsourcing decisions using a group decision-making approach(PERGAMON-ELSEVIER SCIENCE LTD, 2009) Kahraman, Cengiz; Engin, Orhan; Kabak, Oezguer; Kaya, IhsanOutsourcing refers to a company that contracts with another company to provide services that might otherwise be performed by in-house employees. Information system (IS) outsourcing policies define the criteria that organizations utilize to decide upon the scope and degree of reliance of their IS capabilities upon external sources. IS outsourcing is an innovative organizational tool for IS management in both private and public sector organizations. In this paper, an interactive group decision-making methodology is proposed to select/rank 15 providers under multiple criteria. A measure for the consensus level of the group preferences is developed to satisfy an acceptable level of group agreement and reliability. The Spearman coefficients for both the aggregated rank order and each DM's rank order have also been calculated. The group and the individual evaluations are gathered through a fuzzy TOPSIS approach. The proposed methodology is applied in the largest office furniture manufacturer in Konya-Turkey. Eight alternative IS providers are evaluated based on seven criteria by five decision makers. Sensitivity analyses are also provided to see the effects of parameter changes on the final decision. (c) 2008 Elsevier Ltd. All rights reserved.Öğe Investigation of Ant System parameter interactions by using design of experiments for job-shop scheduling problems(PERGAMON-ELSEVIER SCIENCE LTD, 2009) Figlali, Nilguen; Ozkale, Celal; Engin, Orhan; Figlali, AlpaslanIn recent years, one of the most important and promising research fields has been metaheuristics to find optimal or near-optimal solutions for NP-hard combinatorial optimization problems. Improving the quality of the solution or the solution time is basic research area on metaheuristics. Modifications of the existing ones or creation of hybrid approaches are the focus of these efforts. Another area of improving the solution quality of metaheuristics is finding the optimal combination of algorithm control parameters. This is usually done by design of experiments or one-at-a-time approach in genetic algorithms, simulated annealing and similar metaheuristics. We observe that, in studies which use Ant Colonies Optimization (ACO) as an optimization technique; the levels of control parameters are determined by some non-systematic initial experiments and the interactions of the parameters are not studied yet. In this study, the parameters of Ant System have been investigated on different sized and randomly generated job-shop scheduling problems by using design of experiments. The effects and interactions of the parameters have been interpreted with the outputs of the experiments. Referring to the statistical analysis it is observed that none of the interactions between the Ant System parameters has a significant effect on makespan value. A specific fractional experimental design is suggested instead of the full factorial design. Depending on the findings from the benchmark problems it will be a reliable approach to use the suggested design for saving time and effort in experiments without sacrificing the solution quality. (C) 2007 Elsevier Ltd. All rights reserved.Öğe Kalite Kontrol Problemlerinin Çözümünde Uzman Sistemlerin Kullanımı(2004) Kaya, İhsan; Gözen, Şerife; Engin, Orhanİşletmeler, artan rekabetle birlikte pazar yapısının değişmesi ve müşteri isteklerinin ekonomik bir şekilde karşılanması amacıyla kalite ve kontrol çalışmalarında büyük değişimler göstermektedir. Firmalar, yapay zeka tekniklerini üretim planlama, kalite kontrol gibi alanlarda kullanarak verimliliklerini artırmayı ve problemlere en kısa zamanda çözüm üretmeyi amaçlamaktadırlar. Bu teknikler, bir çok problemin çözümünde etkin olarak kullanılmaktadır. Çalışmada yapay zeka tekniklerinden olan uzman sistemlerin kalite kontrol problemlerinin çözümündeki kullanımı incelenmiştir. Veri analizi, tahmin, yorumlama, hata teşhisi gibi pek çok kalite kontrol problemi için uzman sistemler kullanılmaktadır. Uzman sistem ile birlikte kalite kontrol faaliyetleri daha etkin uygulanmakta ve kontrol süreleri minimize edilebilmektedir. Çalışmada, son on yılda kalite kontrol problemlerinin çözümü için geliştirilen uzman sistemler incelenmiştir.
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