Bölüm "TAÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü" Fakülteler için listeleme
Toplam kayıt 39, listelenen: 21-39
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A neural networks approach to predict call center calls of an internet service provider
(IOS Press, 2022)n today's competitive business environment, companies are striving to reduce costs and workload of call centers while improving customer satisfaction. In this study, a framework is presented that predicts and encourages ... -
Neutrosophic fuzzy weighted saving heuristic for COVID-19 vaccination
(IEEE, 2022)Vaccination procedures, which are the most effective way to deal with the COVID-19 pandemic, have started worldwide. Since hospitals and health centers are used as vaccination centers, collecting people in one place can ... -
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 ... -
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, ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Spherical fuzzy swara-marcos approach for green supplier selection
(3Ciencias, 2021)In a supply chain management, supplier selection is an important step to determine the structure of the model. Multi-criteria decision making methods are appropriate tools for dealing with the selection of suitable suppliers. ... -
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 ... -
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 ... -
Sustainability outcomes in multi-tier supply chains: an empirical study of Turkish manufacturing firms
(Taylor & Francis, 2022)To formulate multi-tier supply chain management strategies with global impact, understanding the roles of various supply chain partners in disseminating sustainability along the supply chain is crucial. We analyze the ... -
A systematic literature review: Setting a basis for smart and sustainable city performance measurement
(2023)The growing amount of data and the inventive solutions that arise from it createopportunities to construct and manage smart sustainable cities. Before attemptingto establish appropriate solutions in this regard, it is ... -
Unequal-area capability-based facility layout design problem with a heuristic decomposition-based iterative mathematical programming approach
(Elsevier, 2023)Thus far in the available literature, capability-based facility layout design approaches were developed by only considering equal machine areas, where they are assigned to the pre-specified locations. Based on this ... -
Using blockchain technology to drive operational excellence in perishable food supply chains during outbreaks
(Emerald Group Publishing, 2021)Purpose This paper aims to explore the potential of blockchain technology (BT) to support the operational excellence in perishable food supply chain (PFSC) during outbreaks, by doing use-case analysis. Design/methodology/approach ... -
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 ...