Alpaslan Fığlalı

ORCID: 0000-0002-8364-3313
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Research Areas
  • Metaheuristic Optimization Algorithms Research
  • Scheduling and Optimization Algorithms
  • Optimization and Packing Problems
  • Vehicle Routing Optimization Methods
  • Scheduling and Timetabling Solutions
  • Advanced Manufacturing and Logistics Optimization
  • Forecasting Techniques and Applications
  • Fuzzy Logic and Control Systems
  • Ergonomics and Musculoskeletal Disorders
  • Manufacturing Process and Optimization
  • Advanced machining processes and optimization
  • Advanced Multi-Objective Optimization Algorithms
  • Neural Networks and Applications
  • Transportation Planning and Optimization
  • Consumer Retail Behavior Studies
  • Assembly Line Balancing Optimization
  • Wind Energy Research and Development
  • Stock Market Forecasting Methods
  • Wood Treatment and Properties
  • Material Selection and Properties
  • Sports Analytics and Performance
  • Customer churn and segmentation
  • Musculoskeletal pain and rehabilitation
  • Natural Language Processing Techniques
  • Color perception and design

Kocaeli Üniversitesi
2007-2024

Istanbul Technical University
1995-2011

Scientific and Technological Research Council of Turkey
1988

10.1007/s00521-014-1546-8 article EN Neural Computing and Applications 2014-01-13

Bilim Merkezleri kendilerinden beklenen görevleri içerilerinde bulundurdukları sergi ve düzenekler aracılığıyla gerçekleştirmektedir. Bir Merkezinde kuruluş aşamasındaki düzeneklerin seçimi sağlanacak toplumsal yarar üzerinde doğrudan etkilidir. Sözü edilen sergi, düzenek benzeri donanımların ise elde edilmek istenen doğrultusunda, merkezin hedefleri ziyaretçi profili göz önünde tutularak; mekan sınırlamaları bütçe kısıtları altında yapılmaktadır. Literatürde müze bilim merkezlerinin...

10.17341/gazimmfd.1204181 article TR Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 2024-01-27

Konteyner Yükleme Problemi, Kesme ve Paketleme Problemleri altında incelenen taşımacılıkta yaygın olarak kullanılan problemlerden biridir. Özellikle fazla sayıda yan kısıtlara sahip versiyonları NP-zor problemler kategorisindedir. Bu çalışmada, bir lojistik firmasının yedek parça taşıma problemini çözen özgün Problemi modellenerek, çözülmüştür. Ana problemin içermiş olduğu değişken kısıt sayısı için çözüm süresi çok uzamaktadır. nedenle ana problem ikiye bölünerek ardışık çözülmeye...

10.29048/makufebed.1447960 article TR cc-by Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi 2024-09-06

The scheduling theme which determines where and when the manufacturing actions will be performed is important to perform activities in time, efficiently cost-effectively. In this paper, an algorithm proposed for solution of a flow shop problem holds place literature. path relinking data mining are used together studied here. While globally searching space, local search. Data Mining method extract embedded information cluster that includes implicit information. Path advances by making binary...

10.24200/sci.2020.50995.1957 article EN Scientia Iranica 2020-08-03

– Logistics has important effects on human life throughout the history. Within past century need to convey customer demands shortly and efficiently resulted in increasing importance of vehicle routing problems (VRPs) that included logistics activities. Different methods have been developed order solve are subject various researchs due its day by day.More computation time is required provides find optimal results while problem size increases.Therefore, pretty much work done about heuristic...

10.17671/btd.36806 article EN DergiPark (Istanbul University) 2014-02-21

In this study crossover operators of Genetic Algorithms are tested for flowshop scheduling problems which in NP-hard class and the most effective operator is determined. Six on different scaled with long processing times. Problems examined two categories: 2 machine multi problems. 2-machine six were used produced randomly. For multi-machine seven reference by J. Carlier. The determined both categories according to results 2050 experiments.

10.31671/dogus.2019.335 article EN Doğuş Üniversitesi Dergisi 2002-07-27

Since the competition level among companies is increasing day by day, meeting customer demands with qualified products and cost reduction are primary goals of each company. And zinc, main raw material in galvanization sector, most important item. So it required to forecast amount zinc be spent. In this study tried consumption using artificial neural network (ANN) method. To evaluate convenience values hypothesis tests done; results showed that there no significant difference between...

10.16984/saufbed.59229 article EN cc-by-nc DergiPark (Istanbul University) 2013-04-01

İşletmeler arasında artan rekabet nedeniyle müşterinin istediği kalitede ürün üretmek ve maliyetlerin düşürülmesi öncelikli hedeflerdendir.Galvaniz sektöründe temel hammadde girdisi olan Çinko (Zn), en önemli maliyet kalemini oluşturmaktadır.Hem müşteri tekliflerinin hazırlanması aşamasında kullanılacak çinko miktarının tahmin edilmesi, hem de optimum kaplama kalınlığının elde edilebilmesi için uygun imalat koşullarının sağlanması gerekmektedir.Çalışmada galvaniz faaliyet gösteren bir...

10.5505/saufbe.2013.21939 article TR Sakarya University Journal of Science 2013-01-01

A two-layer transportation network design model with three objectives is introduced. The are: the minimization of primary path length (or traveling time) from a predetermined starting node to terminus node; total distance traversed by demand reach on path; and construction cost. problem initially formulated as an integer linear programming model. combinatoric solution which would be suitable for small networks because large size subtour breaking constraints presented. method produces...

10.1109/picmet.1991.183650 article EN Technology Management : the New International Language 2002-12-09

The pace of change is accelerating. Companies must become competitive to thrive in this rapidly changing environment. As competition intensifies, so does the need for creative thinking. To obtain a global advantage face such stiff competition, businesses embrace creativity and innovation. Innovation only that adaptable any situation. It what enables organizations create products services differentiate them from those its competitors. build organization thereby business through powerful use...

10.1109/picmet.2001.951744 article EN 2002-11-13

While taking strategic decisions for the future in today's business world, which has a constantly changing and dynamic structure, several implications can be drawn with information obtained from databases correct processing analysis of this information. With regard to these implications, various taken improve processes. Businesses execute their processes more efficiently they are able make better on by data that will benefit using mining techniques. In study, past orders pharmaceutical...

10.34088/kojose.427957 article EN Kocaeli Journal of Science and Engineering 2018-11-30

In the 1970's, manufacturers produced a volume of products and people bought them. Nowadays consumers desire that match their own feelings design, function price. That's why newest ergonomic technology, which was opposite pole from western objectivity logical thinking -named Kansei Engineering (KE) - born in Japan. KE aims to implement consumer's needs desires into product design. this study, need consumer centered development designing theories place design process are explained. is...

10.31671/dogus.2019.346 article EN Doğuş Üniversitesi Dergisi 2002-01-27
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