Başlık için Endüstri Mühendisliği Bölümü Koleksiyonu listeleme
Toplam kayıt 37, listelenen: 1-20
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Application of machine learning methods for pallet loading problem
(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
(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 ... -
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 ... -
Circular intuitionistic fuzzy decision making and its application
(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 ... -
Cylindrical neutrosophic fuzzy heuristic approach to locate mobile pandemic test labs
(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 ... -
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 ... -
Designing robust capability-based distributed machine layouts with random machine availability and fuzzy demand/process flow information
(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 ... -
Digital transportation maturity measurement
(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 ... -
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 ... -
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 ... -
A hybrid machine learning and fuzzy inference approach with UAV for indoor virus contamination risk
(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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Investigation of blockchain technology integration within food supply chain management
(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 ... -
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 ... -
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 ...
