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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 Cam eşya üretimi yapan bir işletmede üretim programı geliştirme uygulaması(2004) Sarucan, Ahmet; Dizdar, Ercüment N.; Baysal, M. Emin; Eren, TamerÜretim sistemlerinde talepleri karşılamak için tezgah kapasitelerinin belirlenmesi, işlerin tezgahlara atanması, ne kadar sürede bitirileceği ve teslim zamanlarının belirlenmesi karmaşık ve zor bir problemdir. Bu çalışmada, geliştirilen üretim programlama tekniği ile bir üretim sistemi için gerekli olan tezgah yükleme işleri daha kolay hale getirilmiştir. Üretim programını elde etmeye yönelik esnek bir bilgisayar kodu yazılmıştır.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 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 The measurement of the service quality in the Konya light rail transportation system(2004) Baysal, M. Emin; Engin, OrhanBu 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.Öğe A Scatter Search Method for Fuzzy Job Shop Scheduling Problem with Availability Constraints(INT ASSOC ENGINEERS-IAENG, 2011) Engin, Orhan; Yilmaz, M. Kerim; Kahraman, Cengiz; Baysal, M. Emin; Sarucan, AhmetIn 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).Öğe The Selection of Renewable Energy Power Plant Technology Using Fuzzy Data Envelopment Analysis(INT ASSOC ENGINEERS-IAENG, 2011) Baysal, M. Emin; Sarucan, Ahmet; Kahraman, Cengiz; Engin, OrhanThe 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.Öğe Solving Fuzzy Job Shop Scheduling Problems with Availability Constraints Using a Scatter Search Method(OLD CITY PUBLISHING INC, 2013) Engin, Orhan; Yilmaz, M. Kerim; Baysal, M. Emin; Sarucan, AhmetIn 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.
