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Toplam kayıt 30, listelenen: 11-20
Prediction of bacterial virulent proteins with composition moment vector feature encoding method
(E D P Sciences, 2016)
Prediction of bacterial virulent proteins is critical for vaccine development and understanding of virulence mechanisms in pathogens. For this purpose, a number of feature encoding methods based on sequences and evolutionary ...
Optimal number of remanufacturing in a circular economy platform
(Taylor & Francis Ltd, 2020)
In reducing waste and protecting natural resources benefits in a circular economy platform, performing remanufacturing tasks are complex, as it may be associated with costs such as investment, setup and disposal cost. Thus, ...
Spherical bipolar fuzzy weighted multi-facility location modeling for mobile COVID-19 vaccination clinics
(IOS Press, 2022)
A pandemic was declared in 2020 due to COVID-19. The most important way to deal with the virus is mass vaccination which is a complex task in terms of fast transportation and process management. Hospitals and other health ...
Application of machine learning methods for pallet loading problem
(MDPI-Multidisciplinary Digital Publishing Institute, 2021)
Because of continuous competition in the corporate industrial sector, numerous companies are always looking for strategies to ensure timely product delivery to survive against their competitors. For this reason, logistics ...
Sustainability impact of digitization in logistics
(Elsevier Science Bv, 2018)
Today, most enterprises are undergoing a digitization process with the fourth industrial revolution, named industry 4.0. The focus of the digital transformation lies mainly on production, therefore the terms such as "Factory ...
Food supply chain in the era of Industry 4.0: blockchain technology implementation opportunities and impediments from the perspective of people, process, performance, and technology
(Taylor & Francis Ltd, 2020)
The prevention of food loss throughout the supply chain, including manufacturers, has become a major challenge for a number of organisations. In addition, consumers are also increasingly interested in the authenticity of ...
An integrated SMED-fuzzy FMEA model for reducing setup time
(Springer, 2020)
Today, the companies apply lean or customized production methods, which enable the production of different kinds of products in small quantities, to meet different customer demands. But, the increase in the product variety ...
Improving customer experience for an internet service provider: a neural networks approach
(Springer, 2021)
Today one of the challenges of companies is to decrease call center costs while improving the customer experience. In this study, we make prediction and proactively take action in order to solve customer problems before ...
Green supplier evaluation with SWARA-TOPSIS integrated method to reduce ecological risk factors
(Springer, 2019)
One of the most important agendas of the world is the topic of global warming. In order to protect the ecological balance, all organizations turning towards using natural resources more effectively and not harming the ...
Predicting the success of ensemble algorithms in the banking sector
(Igi Global, 2019)
The banking sector, like other service sector, improves in accordance with the customer's needs. Therefore, to know the needs of customers and to predict customer behaviors are very important for competition in the banking ...