Endüstri Mühendisliği Bölümü
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Accurate detection of coronavirus cases using deep learning with attention mechanism and genetic algorithm
(SPRINGER, 2024)The novel coronavirus disease has caused severe threats to the daily life and health of people all over the world. Hence, early detection and timely treatment of this disease are signifcant to prevent the coronavirus’s ... -
Shortest Confidence Intervals of Weibull Modulus for Small Samples in Materials Reliability Analysis
(GAZI UNIV, 2023)The Weibull distribution has been widely used to model strength properties of brittle materials. Estimation of confidence intervals for Weibull shape parameter has been an important concern, since small sample sizes in ... -
Deep Learning Approach to Technician Routing and Scheduling Problem
(EDICIONES UNIV SALAMANCA, 2022)This paper proposes a hybrid algorithm including the Adam algorithm and body change operator (BCO). Feasible solutions to technician routing and scheduling problems (TRSP) are investigated by performing ... -
A Novel Permutation Based Solution Representation Technique for Vehicle Routing Problems on GPUs
(2021)In this study, the vehicle routing problem (VRP) which is a well-known NP-hard combinatorial optimization problem is handled on graphic processing units (GPUs). Solving any kind of VRP is extremely hard when the instance ... -
Uzun-Kısa Süreli Bellek Ağı Kullanarak Global Güneş Işınımı Zaman Serileri Tahmini
(2019)Global güneş ışınımı tahmini, güneş enerjisi sistemlerinin etkin yönetimi ve işletilmesinin yanı sıra gelecekteki enerji üretimi hakkında güvenilir bilgi sağlamak için giderek daha fazla önem kazanmaktadır. Bu çalışmada, ... -
A data-driven approach based on deep neural networks for lithium-ion battery prognostics
(Springer London Ltd, 2021)Remaining useful life estimation is gaining attention in many real-world applications to alleviate maintenance expenses and increase system reliability and efficiency. Deep learning approaches have recently provided a ... -
Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm
(Pergamon-Elsevier Science Ltd, 2021)Influenza epidemic is a serious public health problem that has attracted worldwide attention due to cause cases of severe illness, an enormous economic burden, and even deaths worldwide each year. Forecasting influenza ... -
Karma modelli tip-2 montaj hattı dengeleme problemi için bir kısıt programlama modeli
(Pamukkale Üniversitesi, 2016)Bu çalışmada karma modelli montaj hattı dengeleme problemleri için yeni bir kısıt programlama modeli sunulmuştur. Önerilen model verilen bir istasyon sayısı ile çevrim zamanını en küçüklemektedir. Önerilen model literatürdeki ... -
A linear programming embedded meta-heuristic for the solving of multi period cellular manufacturing system design problem
(Computers and Industrial Engineering, 2014)Cellular Manufacturing is a member of modern production methods. In general, design of Cellular Manufacturing Systems (CMS) consists of three decision stages: (1) formation of cells and product groups, (2) layout of cells ... -
Analysis of bowl effects on assembly line using queueing networks and constraint programming procedure
(Computers and Industrial Engineering, 2014)In this study, a new solution procedure based on queueing networks and constraint programming is proposed to model and solve the Assembly Line Balancing Problem (ALBP). Variation of the task and the station times, and ... -
Design process model for flexible manufacturing systems and application of TAI
(2011)In this paper, a systematic design process model is proposed to model Flexible Manufacturing Systems (FMS). Generally, FMS systems design is complicated and cost very high as installation phase. Therefore, technical analysis ... -
A comprehensive mathematical model for dynamic cellular manufacturing system design and Linear Programming embedded hybrid solution techniques
(Elsevier Ltd, 2016)Considering the ever changing market conditions, it is essential to design responsive and flexible manufacturing systems. This study addresses the multi-period Dynamic Cellular Manufacturing System (DCMS) design problem ... -
Solving capacitated location routing problem by variable neighborhood descent and GA–Artificial neural network hybrid method
(Faculty of Transport and Traffic Engineering, 2018)This paper aims to find the optimal depot locations and vehicle routings for spare parts of an automotive company considering future demands. The capacitated location-routing problem (CLRP), which has been practiced by ... -
A new simulated annealing approach for travelling salesman problem
(2013)The aim of this study is to improve searching capability of simulated annealing (SA) heuristic through integration of two new neighborhood mechanisms. Due to its ease of formulation, difficulty to solve and various real ... -
MLSeq: Machine learning interface for RNA-sequencing data
(Elsevier Ireland Ltd, 2019)Background and Objective: In the last decade, RNA-sequencing technology has become method-of-choice and prefered to microarray technology for gene expression based classification and differential expression analysis since ... -
Variability modelling and balancing of stochastic assembly lines
(Taylor and Francis Ltd., 2016)In a production flow line with stochastic environment, variability affects the system performance. These stochastic nature of real-world processes have been classified in three types: arrival, service and departure process ... -
Integrated definition modeling and Taguchi analysis of flexible manufacturing systems: Aircraft industry application
(2013)In this paper, flexible manufacturing systems (FMS) are studied. Firstly, an FMS design approach is proposed using integrated definition for function methodology. A systematic layout design and performance evaluation scheme ...
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