Ara
Toplam kayıt 46, listelenen: 21-30
A SWARA-VAHP and FCM Based Model Proposal for MCIC (extended abstract)
(2022)
ABC analysis is an efficient and easy-to-use methodology to classify inventory based on a single or multi-criteria basis that may consist of thousands of items. The evolution of the subject is now focused on multiple ...
Simulation based optimization for world line card production system
(IJOCTA, 2012)
Simulation based decision support system is one of the most commonly used tools to examine complex production systems. The simulation approach provides process modules which can be adjusted with certain parameters by using ...
Fully Automated Segmentation of Renal, Cortex and Medulla
(IEEE, 2018)
It is assume that volumes of cortex and medulla are related with recovery of the kidney after transplantation. In this work, a fully automated segmentation and volume calculation method is proposed for determining renal ...
Longitudinal Academic Performance Analysis Using a Two-Step Clustering Methodology
(Tempus Publications, 2017)
The present study aims to examine the academic profiles of industrial engineering undergraduate students among a sample group of military college engineering students ( N= 276) in order to determine the factors impacting ...
Bina ve tesis işletmelerinde müşterilerin algıladıkları hizmet kalitesi müşteri tatmini ve müşteri sadakatinin incelenmesi
(İstanbul Arel Üniversitesi Lisansüstü Eğitim Enstitüsü, 2021)
Küreselleşme ile rekabet ortamı giderek zorlaşmış, günümüzde müşterilerin arzu ve gereksinimleri değişmiştir. Bugün itibariyle yeni müşteri profilinin gereksinimlerinin bilinmesi bu doğrultuda müşteri memnuniyetinin ve ...
Investigation of Breaking Points in the Airline Industry with Airline Optimization Studies Through Text Mining before the COVID-19 Pandemic
(Sage Publications Inc., 2021)
In this study, current literature in the field of airline optimization has been examined by the text mining method to understand trends and commercial threats in the airline industry. Prominent types of work and popular ...
Spare part demand forecasting with bayesian model
(World Scientific, 2012)
Continuous change in technology and differentiation in product models in industrial market have an indispensable impact on forecasting demand for spare parts. Inventory managers periodically update their predictions of ...
Single machine scheduling problems under position-dependent fuzzy learning effect with fuzzy processing times
(Elsevier Science, 2017)
In this paper, we consider single machine scheduling problems under position-dependent fuzzy learning effect with fuzzy processing times. We study three objectives which are to minimize makespan, total completion time and ...
A new approach to prediction of SO2 and PM10 concentrations in Istanbul, Turkey: Cellular Neural Network (CNN)
(Taylor & Francis, 2011)
This article describes the application of a cellular neural network (CNN) to model air pollutants. In this study, forthcoming daily and hourly values of particulate matter (PM10) and sulphur dioxide (SO2) were predicted. ...
Application of cellular neural network (CNN) to the prediction of missing air pollutant data
(Elsevier, 2011)
For air-quality assessments in most major urban centers, air pollutants are monitored using continuous samplers. Sometimes data are not collected due to equipment failure or during equipment calibration. In this paper, we ...