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Toplam kayıt 46, listelenen: 1-10
Forecasting the energy demand of Turkey with a NN based on an improved Particle Swarm Optimization
(Springer London Ltd, 2017)
Forecasting the future energy demand accurately is a critical issue, especially for countries like Turkey where the energy dependency ratio is high. This paper presents a neural network based on the particle swarm optimization ...
A new approach based on OEE to improve equipment effectiveness in SMEs: an application in a wood processing facility
(Gazi Univ, Fac Engineering Architecture, 2017)
In this study, a new method based on Overall Equipment Effectiveness (OEE) is presented to improve equipment effectiveness of a Small and Medium Sized Enterprise (SME). As known, the aim of OEE is to enable an increase in ...
Confidence interval estimation of Weibull lower percentiles in small samples via Bayesian inference
(Elsevier Sci Ltd, 2017)
Weibull distribution has been vastly used for modeling fracture strength of ceramic and composite materials. Confidence interval estimation of Weibull parameters and percentiles in small samples has been an important concern ...
New Multi objective models for the gate assignment problem
(Pergamon-Elsevier Science Ltd, 2017)
Assigning aircrafts to the available gates is an important decision problem that airport professionals face every day. However, this problem is generally studied by considering objectives related to the passenger walking ...
Internet Based Intelligent Hospital Appointment System
(Taylor & Francis Inc, 2015)
In today's competitive service industry, the technology in service systems is used in a wide range of areas. The service companies are now providing service via internet or via other computer based systems in an increasing ...
Multivariate statistical methods for detection of spur gear faults
(Sage Publications Ltd, 2015)
In this study, multivariate statistical techniques are experimented for a spur gear system and a methodology is proposed. The approach is based on the analysis of multidimensional gear vibration data without any feature ...
Customer satisfaction and loyalty analysis with classification algorithms and Structural Equation Modeling
(Pergamon-Elsevier Science Ltd, 2015)
Businesses can maintain their effectiveness as long as they have satisfied and loyal customers. Customer relationship management provides significant advantages for companies especially in gaining competitiveness. In order ...
An Inventory Classification Approach Combining Expert Systems, Clustering, And Fuzzy Logic With The Abc Method, And An Application
(Southern African Inst Industrial Engineering, 2018)
The classification of inventories requires using several criteria to control different functions of inventory management. In this study, a new classification algorithm, called the FNS (functional, normal, and small) ...
Maximum completion time under a learning effect in the permutation flowshop scheduling problem
(Univ Cincinnati Industrial Engineering, 2018)
The permutation flowshop scheduling problem under a position-based learning effect is addressed in this study. Minimization of the maximum completion time (make span) is considered for the identified problem. The mathematical ...
The single machine scheduling problem with sequence-dependent setup times and a learning effect on processing times
(Elsevier Science Bv, 2018)
For the past few years, learning effect has been receiving wide attention in the scheduling problems. There are many studies that take into account the learning effect with several structural constraints and some specific ...