Yazar "TAÜ, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümü" için Scopus İndeksli Yayınlar Koleksiyonu listeleme
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Stream processing data decision model for higher environmental performance and resilience in sustainable logistics infrastructure
Kayıkcı, Yaşanur (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
Kayıkcı, Yaşanur (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
Uşar, Damla Durak; Soytaş, Mehmet Ali (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 ... -
Using blockchain technology to drive operational excellence in perishable food supply chains during outbreaks
Kayıkçı, Yaşanur; Uşar, Damla Durak; Aylak, Batin Latif (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
Yontar, Meltem; Dağ, Özge Hüsniye Namlı; Yanık, Seda (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
Yontar, Meltem; Dağ, Özge Hüsniye Namlı; Yanık, Seda (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 ...