Yayın tarihi için Endüstri Mühendisliği Bölümü Koleksiyonu listeleme
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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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 ... -
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 ... -
Operational excellence in a green supply chain for environmental management: a case study
(Wiley, 2020)Nowadays, organizations have started to become more conscious about the environment in their supply chain operations. The greening process has guided supply chain practices into new ways of thinking according to green ... -
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 ... -
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 ... -
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 ... -
Design alternatives for internationally distributed learning factories in global production engineering
(Elsevier B.V., 2020)An internationally distributed learning factory (IDLF) provides opportunities to make students aware of intercultural challenges in global production networks. An IDLF is a scalable network of learning factories with value ... -
Investigating enablers to improve transparency in sustainable food supply chain using F-BWM
(Springer, 2021)Food Supply Chains (FSC) are complex and dynamic in behavior and prone to increasing risks of unsustainability. Consumers increasingly demand food quality, safety, and sustainability, which are fast becoming issues of great ... -
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 ... -
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 ... -
The importance of social sustainability in digital transformation: A new definition proposal
(2021)Social effects caused by digital transformation technologies are spreading to all areas of life with new technological developments. Digital transformation fundamentally changes people's habits and determines the life ...
