• Designing robust capability-based distributed machine layouts with random machine availability and fuzzy demand/process flow information 

  Subulan, Kemal; Varol, Bilge; Baykasoğlu, Adil (Springer Science and Business Media LLC, 2023)

  Thus far in the available literature, capability-based distributed layout (CBDL) design approaches were only developed under certain environments. Indeed, uncertainties embedded in the machine unavailability (or random ...

• Unequal-area capability-based facility layout design problem with a heuristic decomposition-based iterative mathematical programming approach 

  Varol, Bilge; Subulan, Kemal; Baykasoğlu, Adil (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 ...

• Digital transportation maturity measurement 

  Varol, Bilge; Er, Gülfem; Temur Aslan, Gül Tekin (Springer, 2023)

  From the past to the present, there are radical changes and developments available in technology. Therefore, following these technological developments become essential for companies and organizations for coping with ...

• A systematic literature review: Setting a basis for smart and sustainable city performance measurement 

  Karal, Fatma Sena; Soyer, Ayberk (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 ...

• The importance of social sustainability in digital transformation: A new definition proposal 

  Karal, Fatma Sena; Kurt, Dilek (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 ...

• A hybrid machine learning and fuzzy inference approach with UAV for indoor virus contamination risk 

  Çakır, Esra; Erdi, Furkan; Demircioğlu, Emre; Taş, Mehmet Ali (2023)

  With the impact of the Covid-19 pandemic in 2020, major established health rituals were forced to transform. The most well-known of these is the medical mask, which is widely used and required to be worn in designated ...

• Circular intuitionistic fuzzy decision making and its application 

  Çakır, Esra; Taş, Mehmet Ali (Expert Systems with Applications, 2023)

  Circular intuitionistic fuzzy set (C-IFS) is introduced by Atanassov in 2020 as an extension of intuitionistic fuzzy sets. It is represented by a circle with a radius (r) of each element consist of degrees of membership ...

• Investigation of blockchain technology integration within food supply chain management 

  Taş, Mehmet Ali; Aylak, Batin Latif (American Society for Testing and Materials, 2022)

  Blockchain technologies (BT) began to be used in many areas because of the many advantages they offer. In this respect, BT applications take place in different types of supply chains. One of the areas where blockchain is ...

• Neutrosophic fuzzy weighted saving heuristic for COVID-19 vaccination 

  Çakır, Esra; Taş, Mehmet Ali (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 ...

• 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 ...

• A neural networks approach to predict call center calls of an internet service provider 

  Dağ, Özge Hüsniye Namlı; Yanık, Seda; Nouri, Faranak; Şengör, Neslihan Serap; Koyuncu, Yusuf Mertkan; Uçar, Ömer Berk (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 ...

• Spherical bipolar fuzzy weighted multi-facility location modeling for mobile COVID-19 vaccination clinics 

  Çakır, Esra; Taş, Mehmet Ali; Ulukan, Ziya (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 ...

• 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 ...

• Simulation based approach for high-throughput stacking processes in battery production 

  Mueller, Alexander; Aydemir, Muhammed; von Boeselager, Christina; van Ohlen, Nils; Rahlfs, Sina; Leithoff, Ruben; Droeder, Klaus; Dietrich, Franz (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 ...

• Cylindrical neutrosophic fuzzy heuristic approach to locate mobile pandemic test labs 

  Çakır, Esra; Taş, Mehmet Ali; Ulukan, Ziya (IEEE, 2021)

  Since 2020, the world is facing a pandemic. In order to cope with the epidemic, the acceleration of the diagnosis process is important for treatment. However, in order to minimize contact with other patients, test centers ...

• Application of machine learning methods for pallet loading problem 

  Aylak, Batin Latif; İnce, Murat; Oral, Okan; Almasarwah, Najat; Singh, Manjeet; Salah, Bashir; Süer, Gursel (MDPI-Multidisciplinary Digital Publishing Institute, 2021)

  Because of continuous competition in the corporate industrial sector, numerous companies are always looking for strategies to ensure timely product delivery to survive against their competitors. For this reason, logistics ...

• Artificial intelligence and machine learning applications in agricultural supply chain: a critical commentary 

  Aylak, Batin Latif (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 ...

• Spherical fuzzy swara-marcos approach for green supplier selection 

  Taş, Mehmet Ali; Çakır, Esra; Ulukan, Ziya (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. ...

• Recollection center location for end-of-life electric vehicle batteries using fleet size forecast: scenario analysis for Germany 

  Yükseltürk, Ahmet; Wewer, Aleksandra; Bilge, Pınar; Dietrich, Franz (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 

  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 ...

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