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Toplam kayıt 6, listelenen: 1-6
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 ...
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 ...
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 ...