Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A Markovian model on dichotomic attributes of items from a dependent production process
Download
013954.pdf
Date
1988
Author
Yaman, Oktay
Metadata
Show full item record
Item Usage Stats
68
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/5698
Collections
Graduate School of Social Sciences, Thesis
Suggestions
OpenMETU
Core
A fuzzy linguistic decision model approach for selecting the optimum promotion mix for digital products with genetic algorithms
Gün, Mustafa Murat; İşler, Veysi; Department of Computer Engineering (2010)
Promotion is one of the four major marketing elements of the marketing mix (others are product, price and place) in implementing marketing strategy. Promotion is dealing with the ways a company communicates with its customers to persuade them to buy the product. Promotion mix covers all the different ways a company choose to communicate with its customers such as advertising, personnel selling, PR, sales promotion and others. Selecting the optimal blend of the promotion mix is a tough and critical issue for...
A temporal neural network model for constructing connectionist expert system knowledge bases
Alpaslan, Ferda Nur (Elsevier BV, 1996-04-01)
This paper introduces a temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems. The neural network model has a multi-layer structure, i.e. the number of layers is not limited. Also, the model has the flexibility of defining output nodes in any layer. This is especially important for connectionist expert system applications.
A modulus gradient model for inhomogeneous materials with isotropic linear elastic constituents
Gülaşık, Hasan; Göktepe, Serdar; Gürses, Ercan (Elsevier BV, 2019-11-01)
The one-dimensional modulus gradient (E-grad) model proposed in Gülaşık et al. (2018) is extended to more general three-dimensional inhomogeneous materials with isotropic linear elastic constituents. In addition to the constitutive equations and balance relations, length scale dependent differential relations for the material parameters of isotropic linear elasticity are provided. The finite element formulation for axisymmetric problems is derived and a model problem of a soft cylindrical rod with a stiff s...
A discrete time quasi birth and death model of fixed cycle time policies for stochastic multi-item production inventory problem
Kocabıyıkoğlu, Ayşe; Güllü, Refik; Erkip, Nesim; Department of Industrial Engineering (2000)
A constitutive model of nanocrystalline metals based on competing grain boundary and grain interior deformation mechanisms
Gürses, Ercan (Elsevier BV, 2011-12-01)
In this work, a viscoplastic constitutive model for nanocrystalline metals is presented. The model is based on competing grain boundary and grain interior deformation mechanisms. In particular, inelastic deformations caused by grain boundary diffusion, grain boundary sliding and dislocation activities are considered. Effects of pressure on the grain boundary diffusion and sliding mechanisms are taken into account. Furthermore, the influence of grain size distribution on macroscopic response is studied. The ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. Yaman, “A Markovian model on dichotomic attributes of items from a dependent production process,” Middle East Technical University, 1988.