Browsing by Department "İstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü"
Now showing items 1-20 of 62
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An analytics approach to decision alternative prioritization for zero-emission zone logistics
(Elsevier Inc., 2022)Urban freight transportation requires wise management considerations since it is one of the most challenging issues cities face to attain sustainability. To help with the challenging decision process, an integrated two-stage ... -
Analyzing failures in adoption of smart technologies for medical waste management systems: a type-2 neutrosophic-based approach
(Springer Link, 2021)Medical waste management (MWM) systems are considered among the most important urban systems nowadays. Cities in different countries prefer to transform their infrastructure based on sustainability guidelines and practices. ... -
Application of industry 4.0 in the procurement processes of supply chains: a systematic literature review
(MDPI AG, 2021)Abstract Author keywords Abstract The fourth industrial revolution has significantly changed the traditional way of managing supply chains. The applications of Industry 4.0 (I4.0) technologies such as the Internet of ... -
Application of machine learning in supply chain management: a comprehensive overview of the main areas
(HINDAWI LTD, 2021)In today's complex and ever-changing world, concerns about the lack of enough data have been replaced by concerns about too much data for supply chain management (SCM). The volume of data generated from all parts of the ... -
Appointment scheduling problem under fairness policy in healthcare services: fuzzy ant lion optimizer
(Elsevier, 2022)This study addresses the application of the Integer Linear Programming technique for the patient Appointment Scheduling Problem (ASP). In this research, we propose a Mixed-Integer Linear Programming (MILP) model to formulate ... -
Asset-backed stable numeraire approach for sustainable valuation
(Routledge Journals, Taylor & Francis Ltd, 2020)Interest rates underpin almost every instrument/transaction in conventional financial markets. Valuation of the instruments in relation to interest rates remains meaningful only ifcashcan be attributed a worth of its own ... -
The attitudes of the telecommunication customers in the COVID-19 outbreak: The effect of the feature selection approach in churn analysis
(TR- Dizin, 2022)Today's rising cutting-edge technology requirements and competitive environment in telecommunication industry has gained a remarkable importance due to the COVID-19 pandemics in terms of high need of information sharing ... -
An augmented Tabu search algorithm for the green inventory-routing problem with time windows
(Elsevier B.V., 2021)Transportation allocates a significant proportion of Gross Domestic Product (GDP) to each country, and it is one of the largest consumers of petroleum products. On the other hand, many efforts have been made recently to ... -
Big data-driven cognitive computing system for optimization of social media analytics
(Ieee-Inst Electrical Electronics Engineers Inc, 2020)The integration of big data analytics and cognitive computing results in a new model that can provide the utilization of the most complicated advances in industry and its relevant decision-making processes as well as ... -
Circular economy application in designing sustainable medical waste management systems
(Springer, 2022)No Abstract Available -
A closed-loop supply chain configuration considering environmental impacts: a self-adaptive NSGA-II algorithm
(Springer Link, 2022)Configuration of a supply chain network is a critical issue that contributes to choose the best combination for a set of facilities in order to attain an effective and efficient supply chain management (SCM). Designing a ... -
A cluster-based stratified hybrid decision support model under uncertainty: sustainable healthcare landfill location selection
(Springer, 2022)Nowadays, healthcare waste management has become one of the significant environmental, health, and social problems. Due to population and urbanization growth and an increase in healthcare waste disposals according to the ... -
Correction to: A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms (Annals of Operations Research, (2022), 10.1007/s10479-021-04486-2)
(Springer, 2022)This erratum published as several formatting issues were noticed with Tables and equations. Original article has been corrected. © Springer Science+Business Media, LLC, part of Springer Nature 2022. -
Designing a sustainable closed-loop supply chain network of face masks during the COVID-19 pandemic: Pareto-based algorithms
(Elsevier, 2022)This study develops a novel mathematical model to design a sustainable mask Closed-Loop Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi-objective Mixed-Integer Linear Programming (MILP) ... -
Development of dynamic balanced scorecard using case-based reasoning method and adaptive neuro-fuzzy inference system
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022)In recent years, selecting the strategies has been recognized as one of the most challenging issues facing senior and strategy managers of companies. In this regard, this article introduced an integrated framework that ... -
Discovering injury severity risk factors in automobile crashes: A hybrid explainable AI framework for decision support
(ELSEVIER SCI, 2022)Millions of car crashes occur annually in the US, leaving tens of thousands of deaths and many more severe injuries. Thus, understanding the most impactful contributors to severe injuries in automobile crashes and mitigating ... -
Energy-efficient distributed permutation flow shop scheduling problem using a multi-objective whale swarm algorithm
(Elsevier B.V., 2020)Production scheduling is of great significance in improving production effectiveness while the energy-efficient problem is one of most concerned problems for researchers and manufacturers. Thus, this study investigates the ... -
Evaluating the impacts of COVID-19 outbreak on supply chain risks by modified failure mode and effects analysis: a case study in an automotive company
(SPRINGER, 2022)Supply chains have been facing many disruptions due to natural and man-made disasters. Recently, the global pandemic caused by COVID-19 outbreak, has severely hit trade and investment worldwide. Companies around the world ... -
An extended approach to the diagnosis of tumour location in breast cancer using deep learning
(SPRINGER HEIDELBERG, 2021)Breast cancer is one of the most common and deadly cancers in women. However, early detection increases the likelihood of survival by 100%. Radiologists use mammograms to take X-ray images of the breast to look for signs ... -
An extended robust mathematical model to project the course of COVID-19 epidemic in Iran
(SPRINGER, 2022)This research develops a regression-based Robust Optimization (RO) approach to efficiently predict the number of patients with confirmed infection caused by the recent Coronavirus Disease (COVID-19). The main idea is to ...
