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Toplam kayıt 27, listelenen: 21-27
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 ...
Simulation based approach for high-throughput stacking processes in battery production
(MDPI-Multidisciplinary Digital Publishing Institute, 2021)
What are the benefits of simulation-driven design and optimization of stacking processes in battery cell production? This question is addressed within the scope of the paper. This work proposes a method to reduce the effort ...
Artificial intelligence and machine learning applications in agricultural supply chain: a critical commentary
(Fresenius Environmental Bulletin, 2021)
Integration of AI and ML technologies in the agricultural supply chain (ASC) is revolutionalizing, the domain by bringing in robust monitoring and prediction as well as quick decision-making abilities. A comprehensive ...
Performance evaluation of reverse logistics in food supply chains in a circular economy using system dynamics
(Wiley, 2020)
Supply chains are composed of multiple stakeholders who have complex interrelationships. In addition, the forward and reverse flow of materials, information, human resources, and finance occurs among different stakeholders ...
Big data analytics as an operational excellence approach to enhance sustainable supply chain performance
(Elsevier, 2020)
Operations management is a core organizational function involved in the management of activities to produce and deliver products and services. Appropriate operations decisions rely on assessing and using information; a ...
Recollection center location for end-of-life electric vehicle batteries using fleet size forecast: scenario analysis for Germany
(Elsevier, 2021)
The number of electric vehicle batteries is expected to increase. Their integration into circular economy requires their recollection at end-of-life. Decision makers need tools to determine suitable locations of recollection ...
Using machine learning techniques to develop prediction models for detecting unpaid credit card customers
(IOS Press BV, 2020)
Customer behavior prediction is gaining more importance in the banking sector like in any other sector recently. This study aims to propose a model to predict whether credit card users will pay their debts or not. Using ...