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Stream processing data decision model for higher environmental performance and resilience in sustainable logistics infrastructure
(Emerald Group Publishing Ltd, 2020)
Purpose As the global freight transport network has experienced high vulnerability and threats from both natural and man-made disasters, as a result, a huge amount of data is generated in freight transport system in form ...
Minimizing losses at red meat supply chain with circular and central slaughterhouse model
(Emerald Group Publishing Ltd, 2020)
Purpose - The purpose of this paper is to find solutions to improve the red meat sector in an emerging economy, Turkey, from the circular economy point of view, and taking sustainability approach. The need for circular ...
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, ...
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 ...
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 ...
Using support vector machine for the prediction of unpaid credit card debts
(Springer Verlag, 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 ...